Enrico Motta's profile document
Description for Enrico Motta
Enrico Motta
Enrico Motta
Enrico
Motta
Professor of Knowledge Technologies
I lead the KMi's Intelligent Systems and Data Science research group, which carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions, including Data Science, Semantic Web Technologies, Visual Analytics, Robotics, Large-Scale Data Infrastructures, Internet of Things, Machine Learning, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, News Analytics, Scholarly Data and Digital Humanities and Learning.
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The Open University account for Enrico Motta
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Enrico Motta's membership at KMi
Enrico Motta's participation in University for Industry Observatory
University for Industry Observatory
University for Industry Observatory
Using KMi technologies for integrating web documents with formal representations of knowledge
The aim of this project is to provide an 'observatory' for the University of Industry (learning direct) which collects together related work on distance education. This work builds on a number of KMi projects including the Enrich and KMi planet projects.
Enrico Motta's participation in PatMan
PatMan
PatMan
1998-01-01
2000-01-31
PATient Workflow MANagement System
The PATMAN project aims at promoting an effective and efficient health-care delivery by providing integrated support for tackling medical and organizational issues during patient management. In the context of this project we are developing knowledge management technology to support the formalization and access to documents describing medical guidelines; thus providing a means of teaching healthcare professionals.
Enrico Motta's participation in WebOnto
WebOnto
WebOnto
Browse and edit knowledge models over the web
WebOnto is a tool providing web-based visualisation, browsing and editing support for developing and maintaining ontologies and knowledge models specified in OCML. An ontology can be seen as a model of the conceptual structure of some domain and WebOnto provides the means for graphically representing this.
Enrico Motta's participation in PlanetOnto
PlanetOnto
PlanetOnto
Web based news server, which facilitates lab-related items of interest in KMi to a wider community
The use of KMi Planet on a day-to-day basis has highlighted a number of knowledge management issues: how to provide semantic search and knowledge retrieval facilities in an effective and sustainable way; how best to provide individualised presentations and news alerts; how best to emulate the behaviour of a newsroom team. To address these challenges we have developed an integrated suite of tools, which is called PlanetOnto. These tools allow ontology-driven document formalization and augment standard browsing and search facilities with deductive knowledge retrieval. In addition, the PlanetOnto architecture includes specialized agents, which provide personalised news feeds and alerts and can proactively identify potentially interesting news items.
Enrico Motta's participation in Ibrow
Ibrow
Ibrow
2000-02-01
2003-01-31
An Intelligent Brokering Service forKnowledge-Component Reuse onthe World-Wide Web
The IBROW-3 project is developing an intelligent broker, which will make it possible to configure a knowledge-based system from software components distributed over the World-Wide-Web. This project builds on our previous work on reusable ontologies and problem solving methods.
Enrico Motta's participation in ScholOnto
ScholOnto
ScholOnto
2001-02-01
2004-01-31
Build and deploy a prototype infrastructure for making scholarly claims
The Scholarly Ontologies project is investigating new ways for distributed research communities to track and interpret their literatures. The ClaiMaker system enables researchers to make and contest 'Claims' by semantically connecting concepts. The resulting network of claims and arguments then supports novel forms of literature search and browsing.
Enrico Motta's participation in Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
KMi's Semantic Web Services framework
The Internet Reasoning Service - IRS - is a Semantic Web Services framework, which allows applications to semantically describe and execute web services. The IRS supports the provision of semantic reasoning services within the context of the Semantic Web.
Enrico Motta's participation in AKT
AKT
AKT
2000-10-01
2006-09-30
Advanced Knowledge Technologies
The AKT project aims to develop the next generation of knowledge technologies to support organizational knowledge management. AKT will look at all aspects of knowledge management from acquiring and maintaining knowledge to publishing and sharing it. We intend to address all these closely related issues in an integrated approach, making use of recent developments in artificial intelligence, psychology, linguistics, multimedia and Internet technology. The AKT consortium comprises five UK universities and is funded by a 7M GBP, 6-year EPSRC grant in the context of the Interdisciplinary Research Collaborations programme.
Enrico Motta's participation in OCML
OCML
OCML
Operational Conceptual Modelling Language
The OCML language was designed and implemented by Enrico Motta in the 90s and it has since been used in dozens of projects both within KMi and in other organizations. OCML provides a very expressive knowledge representation language, which makes it possible to represent classes, individuals, relations, functions, rules and constraints. The resulting ‘knowledge models’ are typically developed as part of knowledge management solutions or intelligent decision-making support systems.
OCML also includes mechanisms for defining ontologies and problem solving methods. Ontologies are specifications of reusable terminologies, while problem solving methods are specifications of reusable problem solving behaviours.
Enrico Motta's participation in Evolva
Evolva
Evolva
Ontology Evolution
Evolva is an Ontology Evolution tool that handles information discovery from external data sources (e.g. text documents), data validation, ontology changes, evolution validation and evolution management. One of the advantages of Evolva is that it relies on various background knowledge sources (e.g. online ontologies and lexical databases) for knowledge integration.
Enrico Motta's participation in climateprediction.net
climateprediction.net
climateprediction.net
State-of-the-art simulation of the climate system
The climateprediction.net [http://climateprediction.net] is a state-of-the-art simulation of the climate system which runs on PCs. Project participants will be able to download and run different parametrizations of a climate simulation program, thus providing data for studying climate change. The collaborators in this large-scale e-Science project are The Open University, the universities of Oxford and Reading, Rutherford Appleton Labs, and The MetOffice.
KMi's role in the project is to develop a robust semantic web portal for the estimated 2 million participants. A mixture of technologies will be used, including integrated discussion forums, a web-based news service, conferencing services and social areas using the latest instant messaging programs. This portal will also use state-of-the-art semantic web technology (developed in KMi) to provide fully customisable 'semantic filters' that can be placed over any web-based document (whether local or remote), and provide the user with the context of identified 'concepts-of-interests'.
Enrico Motta's participation in Magpie
Magpie
Magpie
The semantic filter
Magpie adds an ontology based semantic layer onto web pages on-the-fly as they are browsed. Magpie automatically highlights key
items of interest, and for each highlighted
term it provides a set of 'services' (e.g. contact details, current projects, related people) when you right-click on the item.
Enrico Motta's participation in DOT.KOM
DOT.KOM
DOT.KOM
2002-10-01
2005-03-31
Designing adaptive infOrmation exTraction from text for KnOwledge Management
DotKom aims to support knowledge management within large corporation through a combination of information extraction and knowledge management technologies. A current problem with both of these technologies is that they are hard-to-use and require extensive expertise. DotKom will provide user-friendly *adaptive* information extraction tools which give instantaneous feedback on the current status of the information extraction learning process and the automatically constructed knowledge acquisition mechanisms.
Enrico Motta's participation in MIAKT
MIAKT
MIAKT
2002-01-09
2005-03-15
Medical Images & Advanced Knowledge Technologies
MIAKT is a joint initiative between the AKT Interdisciplinary Research Collaboration (IRC) and the Medical Imaging and Signals(MIAS)IRC. The aim of the project is to apply the capabilities of AKT and MIAS to collaborative medical problem solving using knowledge services provided via the e-Science Grid infrastructure.
Enrico Motta's participation in KnowledgeWeb
KnowledgeWeb
KnowledgeWeb
2004-01-01
2007-12-31
Ontology technology from Academia to Industry
Knowledge Web is a FP6 Network of Excellence that aims to support the transition of Ontology technology from Academia to Industry. The current consortium is integrated by 18 participants including leading partners in Semantic Web, Multimedia, Human Language Technology, Workflow and Agents.
Enrico Motta's participation in CORDER
CORDER
CORDER
2005-12-22
COmunity Relation Discovery by named Entity Recognition
CORDER (COmmunity Relation Discovery by named Entity Recognition) is an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in a community with their expertise and associates. CORDER discovers relations from the Web pages of the community. Its approach is based on co-occurrences of NEs and the distances between them. For a given NE, there are a number of co-occurring NEs. We assume that NEs that are closely related to each other tend to appear together more often and closer to each other in Web pages. We calculate a relation strength for each co-occurring NE based on its co-occurrences and distances from the given NE. The co-occurring NEs are ranked by their relation strengths.
Enrico Motta's participation in AquaLog
AquaLog
AquaLog
AquaLog, a portable question-answering system for organizational ontologies
AquaLog is a portable question-answering system which takes queries expressed in natural language and an ontology as input and returns answers drawn from semantic resources compliant with the input ontology. AquaLog differs from other similar systems with respect to two important aspects: 1) It is truly portable: no configuration effort is needed at all, to interface AquaLog to a particular ontology; 2) Over time it adapts to the jargon used by a particular user community, hence there is no need to manually customise the system for a particular domain. AquaLog integrates a number of technologies, including NLP, ontology-based reasoning, machine learning and user modelling.
Enrico Motta's participation in The KMi semantic web
The KMi semantic web
The KMi semantic web
2005-01-19
The automated semantic data integration service
The KMi semantic web generates and maintains semantic markup extracted from a variety of sources, including both departmental databases and HTML pages. In contrast with most other semantic web sites, the maintenance of the KMi semantic web is fully automated, relying on the integration of a number of technologies, including data integration and information extraction. A semantic portal provides integrated access tothe KMi semantic web and provides a number of mechanisms to browse, search and query the semantic web, including the AquaLog question answering system and a variety of semantic search engine
Enrico Motta's participation in MnM
MnM
MnM
2005-03-09
Ontology Driven Semi-Automatic and Automatic Support for Semantic Web
MnM is an annotation tool which provides both automated and semi-automated support for annotating web pages with semantic contents. MnM integrates a web browser with an ontology editor and provides open APIs to link to ontology servers and for integrating information extraction tools.
Enrico Motta's participation in OntoWeaver
OntoWeaver
OntoWeaver
an ontology-based approach to web site design and development
OntoWeaver is an ontology-based approach, which provides high level support for web site design and development. It relies on the following major components to achieve its task: i) a site view ontology, which provides fine-grained modelling support for user interfaces and navigation structures of the target web site, ii) a presentation ontology, which provides high level support for the specification of layouts and presentation styles for user interface elements, and iii) a customization framework, which exploits the declarative specification of the target web site and provides comprehensive customization support at design time as well as run time.
Enrico Motta's participation in ESpotter
ESpotter
ESpotter
2005-12-22
Adaptive Named Entity Recognition for Web Browsing
Named entity recognition (NER) systems are commonly designed with a "one-size-fits-all" philosophy. Lexicons and patterns manually crafted or learned from a training set of documents are applied to any other document without taking into account its background and user needs. However, when applying NER to Web pages, due to the diversity of these Web pages and user needs, one size frequently does not fit all. We present a system called ESpotter, which improves NER on the Web by adapting lexicons and patterns to domains on the Web and user preferences. Our results show that ESpotter provides more accurate and efficient NER on Web pages from various domains than current NER systems.
Enrico Motta's participation in NeOn
NeOn
NeOn
2006-03-01
2010-02-28
Lifecycle Support for Networked Ontologies
NeOn is a 4-year long flagship project funded by the European Commision's 6th Framework Programme. The Open University is its co-ordinator, and the project includes leading institutions from Europe in the area of knowledge modelling and ontologies.
NeOn aims to dramatically improve the support for ontology engineering, by developing both a reference architecture and a concrete toolkit supporting the ontology engineering lifecycle. Specifically, NeOn aims to be the foundational platform for the construction of very large semantic applications by facilitating the creation, management and evolution of networks of ontologies. It is envisaged that this approach will dramatically improve the cost-effectiveness of large-scale ontology engineering, by removing the need for a complete integration of pre-existing ontologies in an application, which is always expensive and often unfeasible.
The envisaged networks of ontologies will rely on localized integration mechanisms, which will be able to support local, 'good enough' notions of consistency, context and collaboration in the open networked environment.
Enrico Motta's participation in OpenKnowledge
OpenKnowledge
OpenKnowledge
2006-01-01
2008-12-31
Open Architecture for Coordinated Knowledge Sharing
OpenKnowledge is a 3 year long STReP project financed under the European Commission's 6th Framework Programme. The goal of the project is to decrease the cost of participation in semantic based systems that are increasingly developed in the context of the Semantic Web.This will be achieved by focusing on semantics related to interaction (which are acquired at low cost during participation) and using this to avoid dependency on a priori semantic agreement; instead making semantic commitments incrementally at run time. The "Open" in OpenKnowledge thus is significant in two senses: it assumes an open system, which anyone may join at any time; it assumes an openness to being joined, achieved through participation at low individual cost.
The project will provide a unifying framework based on interaction models that are mobile in the sense that they may be transferred to other components, this being a mechanism for Web service composition and for coalition formation. A key contribution of OpenKnowledge is to demonstrate that by shifting the emphasis to interaction (the details of which may be hidden from users) we can obtain knowledge sharing of sufficient quality for sustainable communities of practice without the barrier of complex meta-data provision prior to community formation. This requires us to re-interpret forms of contextual reasoning, ontology mapping, query routing and visualisation for this new arena. We ground our research in two testbed areas: bioinformatics and emergency response. The role of KMI is to evaluate whether the technology developed in the project can be successfully reused to (re-)implement two of its Semantic Web tools, AquaLog and Magpie.
Enrico Motta's participation in X-Media
X-Media
X-Media
2006-03-01
2010-02-28
Knowledge Sharing and Reuse across Media
X-Media is a 4 year long ISP project financed under the European Commission's 6th Framework Programme. The project addresses the issue of knowledge management in complex distributed environments. It will study, develop and implement large scale methodologies and techniques for knowledge management able to support sharing and reuse of knowledge that is distributed in different media (images, documents and data) and repositories (data bases, knowledge bases, document repositories, etc.) or that is inaccessible for current systems, which cannot capture the knowledge implicit across media.
X-Media will study, design and develop:
<ol>
<li>Effective and efficient new paradigms for knowledge retrieval, sharing and reuse which enable users to define and parameterize views on the available knowledge according to their needs.</li>
<li>Novel and cutting-edge knowledge fusion methods to support knowledge workers in making decisions when confronted with, possibly contradicting, knowledge derived from different resources.</li>
<li>Techniques able to represent and manage (i) uncertainty, (ii) trust and provenance as well as (iii) dynamic aspects of knowledge.</li>
<li>Robust and scalable knowledge acquisition and data analysis tools operating across media boundaries (text, images and data) to automatically cross-relate and annotate text and images with metadata.</li>
<li>A methodology and a technical infrastructure able to deliver knowledge from across media to knowledge workers.</li>
<li>A generic and flexible architecture allowing end users to easily customize it and integrate it with their KM practices.</li></ol>
http://www.x-media-project.org/
Enrico Motta's participation in SemSearch
SemSearch
SemSearch
A Search Engine for the Semantic Web
SemSearch is a semantic search engine, which is designed for naïve users, i.e., ordinary end users who are not necessarily familiar with domain specific semantic data, ontologies, or SQL-like query Languages. It hides the complexity of semantic search from end users by supporting a Google-like query interface and by providing comprehensive means to translate user queries into formal queries.
Enrico Motta's participation in KnoFuss
KnoFuss
KnoFuss
Information fusion system for semantic datasets
KnoFuss represents a modular architecture for automated knowledge fusion of Semantic Web repositories. Knowledge fusion involves two main subtasks: coreference resolution and inconsistency resolution. Different datasets often contain information about the same entities but refer to them using different URIs. Identifying such individuals is the task of coreference resolution. Moreover, pieces of data defined in different knowledge bases can influence each other (e.g., they can be mutually contradictory). Inconsistency resolution is needed to process such cases. The KnoFuss architecture allows different methods for coreference resolution and inconsistency resolution to be combined in order to improve the quality of resulting data.
Enrico Motta's participation in Revyu
Revyu
Revyu
A Web site that exploits Semantic Web technology and allows you to review and rate anything you want
Revyu.com is a web site where you can review and rate things. Unlike many other reviewing sites on the web, Revyu.com lets you review and rate absolutely anything you can name. Revyu.com exploits Semantic Web technologies, both as the underlying representation mechanism and also to dynamically retrieve semantic information available on the web, which is relevant to a particular review. Because the content of all reviews is published on the site in RDF/XML as well as HTML, you can easily reuse the reviews you write in any other web site or application.
Enrico Motta's participation in Hypermedia Discourse
Hypermedia Discourse
Hypermedia Discourse
Conceptual foundations and practical tools at the nexus of Deliberation, Argumentation and Software
Our focus is on what we are finding to be a powerful and intruiging intersection: the meeting of Hypermedia and Discourse theory and technology. Our interests are both conceptual, and intensely practical: the co-evolution of digital tools and associated work practices for sensemaking.
Enrico Motta's participation in Watson
Watson
Watson
2006-07-01
Exploring the Semantic Web
As the Semantic Web gains momentum, large amounts of semantic information are becoming available online. The emergence of such large-scale semantics opens the way to a new generation of Semantic Systems, able to overcome the brittleness of classic domain-specific semantic systems and supporting open-ended tasks, such as web browsing and question answering. Watson is an innovative gateway for the Semantic Web, whose design has been guided by the requirements of this new generation of Semantic Web applications and by the lessons learnt from previous systems. Watson plays three main roles: 1) collects the available semantic content on the Web, 2) analyzes it to extract useful metadata and indexes, and 3) implements efficient query facilities to access these data, which are structured around thousand and thousand of separate ontologies.
Enrico Motta's participation in PhiloSURFical
PhiloSURFical
PhiloSURFical
Semantically browse a philosophical text
PhiloSURFical is an application built to experiment the new navigation mechanisms the Semantic Web can make available. Thanks to a domain ontology, the navigation and understanding of a philosophical text is enhanced by providing it with a series of departing contextual pathways. We call these pathways "learning narratives", as they dynamically recollect dispersed web-resources and organize them into a coherent narrative, whose structure is inspired by perspectives commonly used when teaching philosophy (e.g. theoretical, historical, geographical, argumentative..)
Enrico Motta's participation in PowerMagpie
PowerMagpie
PowerMagpie
2006-10-01
A semantically-enhanced web browser
PowerMagpie is a new generation semantically-enhanced web browser, which is able to dynamically identify and bring into a web browsing session any available semantic markup, which can be found on the Semantic Web.
In contrast with previous systems, such as Magpie, which can only use information from a specific, pre-selected ontology, PowerMagpie accesses the whole of the Semantic Web through the Watson gateway and intelligently selects and presents to the user relevant information, drawn from millions of existing semantic web documents.
As a result, PowerMagpie avoids the brittleness of earlier semantic browsers and defines a novel, very powerful approach to web browsing in the age of the Semantic Web.
Enrico Motta's participation in PowerAqua
PowerAqua
PowerAqua
A Natural Language Interface to the Semantic Web
PowerAqua is a multi-ontology-based Question Answering (QA) system, which takes as input queries expressed in natural language and is able to return answers drawn from the relevant distributed resources on the Semantic Web. In contrast with any other existing natural language front end, PowerAqua is not restricted to a single ontology and therefore provides the first comprehensive attempt at supporting open domain QA on the Semantic Web.
Enrico Motta's participation in Revyu.com
Revyu.com
Revyu.com
A web site where you can review and rate anything you want, which exploits semantic web technology
Revyu.com is a web site where you can review and rate things. Unlike many other reviewing sites on the web, Revyu.com lets you review and rate absolutely anything you can name. Revyu.com exploits semantic web technology, both as the underlying representation mechanism and also to dynamically retrieve semantic information available on the web, which is relevant to a particular review.
Enrico Motta's participation in FLOR
FLOR
FLOR
2008-05-20
FoLksonomy Ontology enRichment
While the increasing popularity of Web2.0 and in particular folksonomies has lead to a vast quantity of tagged data, the resource retrieval is limited by them being agnostic to the meaning (i.e., semantics) of the tags. Our hypothesis is that by enriching folksonomies with formal semantics extracted from online ontologies the content retrieval of folksonomies can be significantly enhanced.
FLOR is a technique that performs automatic enrichment of folksonomy tags with semantics extracted from online ontologies and other background resources.
Enrico Motta's participation in KCE
KCE
KCE
2008-04-18
Key Concept Extraction
KCE defines a groundbreaking approach to identifying the concepts in an ontology, which best summarize what the ontology is about. KCE makes use of a number of criteria, drawn from cognitive science, network topology, and lexical statistics to try and produce the kind of ontology summaries which human experts would come up with. Indeed a formal evaluation of the method has shown an excellent degree of correlation with the choices of the experts. While the generation of automatic methods for ontology summarization is an interesting research area in itself, KCE also provides a basis for novel approaches to a variety of ontology engineering tasks, including ontology matching, automatic classification, ontology modularization, and ontology
evaluation.
Enrico Motta's participation in SmartProducts
SmartProducts
SmartProducts
2009-02-01
2012-01-31
Smart Products
SmartProducts develops the scientific and technological basis for building "smart products" with embedded "proactive knowledge". Smart products help customers, designers and workers to deal with the ever increasing complexity and variety of modern products. Smart products leverage "proactive knowledge" to communicate and co-operate with humans, other products and the environment. Proactive knowledge encompasses knowledge about the product itself (features, functions, dependencies, usage, etc.), its environment (physical context, other smart products) and its users (preferences, abilities, intentions, etc.). In addition, proactive knowledge comprises executable workflows and knowledge about interaction, enabling the smart product to proactively engage in multimodal dialogues with the user. Thereby, smart products "talk", "guide", and "assist" designers, workers and consumers dealing with them. Some proactive knowledge will be co-constructed with the product, while other parts are gathered during the product lifecycle using embedded sensing and communication capabilities. The outcome of SmartProducts will impact the manufacturing and consumer domain, primarily targeting consumer goods, automotive and aerospace industries.
Enrico Motta's participation in Garden Monitor
Garden Monitor
Garden Monitor
Using data and Artificial Intelligence for efficient garden monitoring
Enrico Motta's participation in KANNEL
KANNEL
KANNEL
Detecting and Managing Semantic Relations Between Ontologies
Making explicit semantic relations between ontologies in large ontology repositories
Enrico Motta's participation in LUCERO
LUCERO
LUCERO
2010-06-01
2011-05-31
Linking University Content for Education and Research Online
Working with groups of learners, researchers and practitioners based at the Open University, LUCERO will scope, prototype, pilot and evaluate reusable, cost-effective solutions relying on the linked data principles and technologies for exposing and connecting educational and research content.
Core sets of resources considered within LUCERO are institutional repositories of research and educational material, including collaborations with the Faculty of Arts to scope, pilot, prototype and evaluate specific content exposure and linked data requirements of researchers working within the Arts and Arts History domains, providing experience on the exposure and connection of research data outputs, and demonstrating their concrete benefits. On the basis of such concrete experience, the project will aim to document business process changes required to achieve successful integrated institutional approaches to exposing educational and research content as linked data.
Enrico Motta's participation in KC-Viz
KC-Viz
KC-Viz
A Novel Approach to Visualizing and Navigating Ontologies
Enrico Motta's participation in DiscOU
DiscOU
DiscOU
Discovering Open University Content from Other Online Resources
There is a growing base of open educational content being made available online. At The Open University, this currently includes 650 units of course material on OpenLearn and 3,800 audio and video podcasts. With such content available, discoverability of educational resources becomes a major challenge.
DiscOU is a resources discovery engine relying on a semantic index of Open University Open Content. It semantically analyse the content of an online resource, and match it by similarity to other existing Open University content to retrieve the most relevant pieces. It currently works with BBC programme pages.
Enrico Motta's participation in Dedalo
Dedalo
Dedalo
2012-10-01
Explaining patterns with Linked Data
Dedalo is a framework which exploits Linked Data to generate explanations for patterns of data. The Web of Data contains vast amounts of background knowledge and natively connects cross-domains datasets. We developed Dedalo, an Inductive Logic Programming based- framework, that performs dynamic traversal of the Linked Data graph using an A* search, to find commonalities that form explanations for items of patterns to be explained.
Enrico Motta's participation in MK:Smart
MK:Smart
MK:Smart
2014-01-01
2016-12-31
An innovation programme developing sustainable smart solutions for Milton Keynes
Enrico Motta's participation in Rexplore
Rexplore
Rexplore
2012-11-01
Exploring Research Data
Rexplore leverages novel solutions in large-scale data mining, semantic technologies and visual analytics, to provide an innovative environment for exploring and making sense of scholarly data. In particular, Rexplore allows users:
To detect and make sense of important trends in research, such as, significant migrations of researchers from one area to another, the emergence of new topics, the evolution of communities within a particular area, and several others.
To identify a variety of interesting relations between researchers, e.g., recognizing authors who share similar research trajectories. These relations go well beyond the standard co-authorship links or relationships informed by social networks, which are commonly found in other systems.
To perform fine-grained expert search with respect to detailed multi-dimensional parameters.
To analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities identified on the basis of dynamic criteria.
An important aspect of Rexplore is that it does not rely on manually-generated taxonomies of research areas, which tend to be shallow and date very rapidly, but uses instead an innovative ontology population algorithm, Klink, which automatically constructs a semantic network of fine-grained research areas, linked by semantic relations, such as sameAs and subAreaOf. The use of Klink ensures a fine-grained handling of research areas and affords Rexplore a very high level of precision and recall in associating topics to publications and researchers.
Rexplore offers an advanced graphical interface, comprising a variety of innovative and fine grained visualizations, which support users in exploring authors, topics, and research communities. To support effective exploration, all graphical elements can be clicked on, thus enabling a seamless and contextualized navigation.
Enrico Motta's participation in Listening Experience Database
Listening Experience Database
Listening Experience Database
2013-01-01
2018-03-31
A crowd-sourced linked data resource of documented experiences of listening to music
The Listening Experience Database (LED) project is a collaboration between the Open University and the Royal College of Music. It has been awarded a £0.75m grant over three years from the Arts and Humanities Research Council.
The main purpose of the project is to collate people�s experiences of listening to music. It will also be used to shed light on a wide range of issues, including musical performance and reception, particularly in relation to the RCM's expertise in Western musical traditions.
The project focuses on the building of a large database of personal listening experiences, relating to any culture and repertoire up to the present. It looks at sources such as diaries, memoirs, letters and oral history.
LED is entirely managed and published as Linked Data, and reuses data from external sources (including DBpedia, the British National Bibliography and MusicBrainz) as part of its life-cycle.
Enrico Motta's participation in CityLABS
CityLABS
CityLABS
2017-06-01
2019-05-31
Research and Innovation in the Digital Economy
CityLabs is a place for SMEs to work with academic and industry leaders to develop concepts into prototypes for new products and services in the digital economy. Particularly focused on data-driven and IoT developments, the CityLabs team will support SMEs with a programme of Urban Business Lab, Tech Design & Prototype Evaluation, Concept Development Grants for developing concepts and access to the MK Data Hub.
Enrico Motta's participation in Smart Topic Miner
Smart Topic Miner
Smart Topic Miner
Classifying scholarly publications according to an ontology of research areas
The Smart Topic Miner (STM) is a novel application, developed in collaboration with Springer Nature, which classifies scholarly publications according to an automatically generated ontology of research areas. STM analyses in real-time a collection of publications and returns a description of the given corpus in terms of a taxonomy of research topics drawn from a large scholarly ontology and a set of Springer Nature Classification tags. This information is used for a variety of tasks such as: i) classifying proceedings in digital and physical libraries; ii) enhancing semantically the metadata associated with publications and consequently improving the discoverability of the proceedings in both the Springer digital library, SpringerLink, as well as third-party sites such as Amazon.com; iii) deciding where and when to market a specific book; and iv) detecting novel and promising research areas that may deserve more attention from the publisher.
Enrico Motta's participation in Smart Book Recommender
Smart Book Recommender
Smart Book Recommender
An ontology-based recommender system for books, journals, and conference proceedings
The Smart Book Recommender (SBR) is a ontology-based recommender system, developed in collaboration with Springer Nature, which suggests books, journals and conference proceedings that are likely to be relevant to the attendees of a given conference. It relies on a background knowledge of 27K books and 270 journals. Each editorial product is represented as a distribution of research topics drawn from the Computer Science Ontology, a large-scale automatically-generated ontology of research fields. In addition, SBR offers an advanced interface for visualizing and comparing the taxonomy of research areas associated with each item. This solution allows users to comprehend the rationale behind the recommendation and to gain a good understanding of the content of each editorial product.
Enrico Motta's participation in Supporting Editorial Activities at Springer Nature
Supporting Editorial Activities at Springer Nature
Supporting Editorial Activities at Springer Nature
2018-05-01
2021-01-31
Supporting Editorial Activities at Springer Nature
The project aims at fostering Springer Nature editorial activities by supporting them with a variety of smart solutions leveraging artificial intelligence, data mining, and semantic technologies. In particular, the KMi team will support Springer Nature editorial team in classifying proceedings and other editorial products, taking informed decisions about their marketing strategy, and improve their internal classification.
The main objectives of the project are:
- Producing several analytics solutions for the analysis of big scholarly data.
- Automatically generating a large-scale ontology describing research topics in the field of Engineering.
- Enhancing the Smart Topics Miner, a tool developed to support the Springer Nature editorial team in classifying proceedings.
- Releasing the Computer Science Ontology, the largest ontology of research areas in the field of Computer Science, which currently includes about 15K topics and 70K semantic relationships.
Enrico Motta's participation in SciRoc
SciRoc
SciRoc
2018-02-01
2021-02-28
Bringing Robots into Smart Cities through Competitions
SciRoc is a EU-H2020 funded project supporting the European Robotics League (ERL), and whose aim is to bring all ERL tournaments in the context of smart cities.
A key novelty of the SciRoc project is the introduction of robots in smart cities in ERL challenges and, in particular, the ERL Smart Cities, whose aim is to show how robots will integrate in the cities of the future as physical agents living in them. This adds a new challenge to ERL, which will be pursued through the organisation of two Smart CIties RObotics Challenges (The SciRoc Challenges) in years 2019 and 2021.
Leveraging the functionalities developed within ERL Consumer, ERL Professional and ERL Emergency, robots will be required to cooperate with the smart city infrastructure and interact with its citizens, accomplishing tasks of different nature in different scenarios – assisting customers, providing professional services and supporting during emergency situations.
Enrico Motta's participation in FindLEr
FindLEr
FindLEr
Detects traces of listening experiences in texts
FindLEr detects traces of listening experiences in texts.
Users can provide a source book to scan and obtain as result a annotated version of the text where paragraphs mentioning potential listening experiences are highlighted. The user can browse the result as a list or inline with the original text. The system allows for additional tuning by offering a "skepticism" handle. See it in action: https://led.kmi.open.ac.uk/discovery
Enrico Motta's participation in Augur
Augur
Augur
2014-12-01
EARLY FORECASTING OF RESEARCH TRENDS
Augur is a novel approach to the early detection of research topics. Augur analyses the diachronic relationships between research areas and is able to detect clusters of topics that exhibit dynamics correlated with the emergence of new research topics.
Enrico Motta's participation in GATEKEEPER
GATEKEEPER
GATEKEEPER
2019-10-01
2023-04-30
Technologies for healthier independent lives for the ageing populations
KMi are part of a 43 partner EU project that has just be given the go ahead as part of the EU Horizon2020 research funding programme. The main objective of the Project is to create a GATEKEEPER that connects healthcare providers, businesses, entrepreneurs, elderly citizens and the communities they live in, in order to originate an open, trust-based arena for matching ideas, technologies, user needs and processes, aimed at ensuring healthier independent lives for the ageing populations. The KMi Team, led by Professor Enrico Motta, will investigate the role of robots in the developing landscape of healthcare support. Specifically, the team will test the feasibility and appropriateness of in-home robots and community robots that can provide citizens with healthcare support and information and well as a direct link to healthcare professionals. The team will build test scenarios in Milton Keynes that provide valuable insight into the role of robots. This project is part of the broader KMi research programme in Robots and Smart Cities, which is described at https://isds.kmi.open.ac.uk/smart-cities-and-robotics/.
Enrico Motta's participation in MK:5G
MK:5G
MK:5G
2019-09-15
2021-04-01
MK:5G Connecting Communities
The MK:5G project is a new initiative which focuses on the deployment of a 5G infrastructure designed exclusively to support research and development in the context of the smart city agenda in Milton Keynes. The envisaged 5G network will cover Central MK, as well as key sites such as the Stadium, Bletchley & CMK rail stations, MK Hospital, the local universities, key junctions on the M1 and a number of rural communities. Building on the work carried out in the MK:Smart project, the project will also deploy a dedicated data exchange facility, which will support trial applications across three sectors: Mobility, Health & Wellbeing, and Energy.
The project is led by Milton Keynes Council and is funded by the South East Midlands Local Enterprise Partnership (SEMLEP). The MK:5G Consortium also includes The Open University, BT, Huawei, CityFibre, TechMahindra, the Satellite Applications Catapult and the Connected Places Catapult. The main role of The Open University is to enhance the Data Hub infrastructure developed in MK:Smart to support the novel test cases associated with this initiative.
Enrico Motta's participation in Polifonia
Polifonia
Polifonia
2021-01-01
2024-04-01
A digital harmoniser of European musical heritage
Polifonia, a new 3M€ project funded by the EU Horizon 2020 Programme will run for the next 40 months to recreate the connections between music, people, places and events from the sixteenth century to the modern-day. These findings will be available to everyone as an interconnected global database on the web and will enhance our understanding of European musical heritage.
With the help of Artificial Intelligence, Polifonia will analyse sounds, texts and musical scores to recreate the history of European musical heritage through people, events, languages, and places.
Polifonia will help scholars in studying how music changed and reacted to the social and political environment over the past six centuries, providing a vast resource to uncover these phenomena, systematically: a knowledge graph - a network of interconnected data from all the main musical heritage sources with one single point of access. The Polifonia consortium is an interdisciplinary team of passionate researchers and music lovers: computer scientists, anthropologists and ethnomusicologists, historians of music, linguists, musical heritage archivists, cataloguers and administrators, and creative professionals.
Enrico Motta's participation in Alice Project
Alice Project
Alice Project
Personal Web Shopping Experience
Currently shopping on the internet is often not a pleasant experience. Finding the right product can take considerable time, browsing related products is often not possible and websites can feels anonymous. Imagine if the experience was more like visiting your local corner shop. Within a friendly local shop the customer is attended by an agent which understands his or her needs, the relationships between the store's product lines and the specifics of the local community. We aim to construct a personal web shopping assistant that uses a variety of knowledge sources to create a personalised shopping experience. This project is being carried out in conjunction with the Icelandic internet company INNN (www.innn.com) who will licence the resultant technologies eventually selling a software product and service.
Enrico Motta's participation in Springer Nature Collaboration
Springer Nature Collaboration
Springer Nature Collaboration
Since 2014, the Scholarly Knowledge Modelling team in KMi has been collaborating with Springer Nature, working together to develop innovative solutions that both improve the state of the art in this area and are also shape new business solutions in Springer Nature. This partnership has produced dozens of publications, a variety of novel solutions, a REF Impact Case and has been recognised with numerous awards. A new contract was signed in December 2023, extending the partnership until the end of 2025.
Enrico Motta's participation in AIDA Dashboard
AIDA Dashboard
AIDA Dashboard
2019-01-01
Assess Journals and Conferences at Springer Nature
Scientific conferences and journals play a crucial role by promoting the cross-pollination of ideas and technologies, fostering new collaborations, shaping scientific communities, and connecting research efforts from academia and industry. However, bibliometric systems and academic search engines provide a limited support for analysing scientific venues in similar fields, and to analyse the involvement of industrial sectors. This led to the creation of the AIDA Dashboard, an innovative tool for exploring and making sense of scientific venues which integrates statistical analysis, semantic technologies, and visual analytics.