Mathieu d'Aquin's profile document
Description for Mathieu d'Aquin
Mathieu d'Aquin
Mathieu d'Aquin
Mathieu
d'Aquin
Senior Research Fellow
mdaquin
I have now moved to the Insight Centre for Data Analytics of the National University of Ireland Galway. in KMi, I was a senior research fellow. The major common point between all my research activities is the Semantic Web, and especially methods and tools to build intelligent applications relying on formalised knowledge distributed online. I have especially been involved in the development of the Watson Semantic Web search engine, and in many applications of its APIs.
As part of several projects, I have worked on many aspects of building and exploiting the Semantic Web, including ontology building, ontology modularization, ontology matching, ontology evolution, ontology publication, etc. More recently, I have been working on aspects related to the use of semantic technologies and the Semantic Web for monitoring and managing online personal information, as well to the realisation of applications producing and consuming linked data. As part of MK:Smart, I'm leading the development of the MK Data Hub infrastructure for data curation, management and analysis.
The Open University account for Mathieu d'Aquin
mda99
Mathieu d'Aquin's membership at KMi
Mathieu d'Aquin on SlideShare
@mdaquin (Mathieu d'Aquin on Twitter)
Mathieu d'Aquin'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.
Mathieu d'Aquin'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.
Mathieu d'Aquin'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.
Mathieu d'Aquin'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.
Mathieu d'Aquin's participation in Scarlet
Scarlet
Scarlet
2007-10-26
Relation Discovery on The Semantic Web
Semantic relations between concepts play an important role in several Semantic Web tasks, such as search, ontology matching, ontology enrichment. Scarlet discovers such relations by exploring the entire Semantic Web as a source of background knowledge. Relying on the functionality of Semantic Web gateways such as Watson or Swoogle, Scarlet automatically finds and combines knowledge provided by multiple online ontologies.
Mathieu d'Aquin'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.
Mathieu d'Aquin'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.
Mathieu d'Aquin's participation in KANNEL
KANNEL
KANNEL
Detecting and Managing Semantic Relations Between Ontologies
Making explicit semantic relations between ontologies in large ontology repositories
Mathieu d'Aquin'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.
Mathieu d'Aquin's participation in UCIAD
UCIAD
UCIAD
2011-02-01
2011-07-31
User-Centric Integration of Activiry Data
UCIAD (User Centric Integration of Activity Data) is a JISC-funded project addressing the integration of activity data spread across various systems in an organization, and exploring how this integration can both benefit users and improve transparency in an organization.
Both research and commercial developments in the area of user activity data analysis have until now mostly focused on logging user visits to specific websites and systems, primarily in order to support recommendation, or to gather feedback data from users. However, data concerning a single user are generally fragmented across many different systems and logs, from website access logs to search data in different departments and as a result organizations typically are not able to maintain an integrated overview of the various activities of a given user, thus affecting their ability to provide optimal service to their users. Hence, a key tenet of the UCIAD project is that developing a coherent picture of the interactions between the user and the organization would be beneficial both to an organization and to its users.
The project, led and managed by Mathieu d'Aquin, will contribute to the current strand of research in KMi, which focuses on the use of semantic technologies to support online personal information management. The solutions developed in the project will be tested on a number of Open University systems, in collaboration with the Open University's communication services.
Mathieu d'Aquin'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.
Mathieu d'Aquin's participation in LOTED
LOTED
LOTED
Linked Open Tenders Electronic Daily
The world of procurements and eProcurement generates daily large amounts of data, that represent knowledge of great economical value both for individual companies and for public organisations wishing to achieve a better understanding of a given market. However, such data remains diffcult to explore and analyze as it is being kept isolated from other sources of knowledge, in dedicated systems. LOTED is an ongoing work on extracting and linking data from the European Tenders Electronic Daily system, which publishes approximately 1,500 tenders five times a week. Information is dynamically extracted and linked to external datasets, and links are created to enrich the original data, introducing new perspectives to its analysis.
Mathieu d'Aquin's participation in LinkedUp
LinkedUp
LinkedUp
2012-11-01
2014-10-31
Linking Web Data for Education Project - Open Challenge in Web-scale Data Integration
LinkedUp aims to push forward the exploitation of the vast amounts of public, open data available on the Web, in particular by educational institutions and organizations.
This will be achieved by identifying and supporting highly innovative large-scale Web information management applications through an open competition (the LinkedUp Challenge) and dedicated evaluation framework. The vision of the LinkedUp Challenge is to realise personalised university degree-level education of global impact based on open Web data and information. Drawing on the diversity of Web information relevant to education, ranging from Open Educational Resources metadata to the vast body of knowledge offered by the Linked Data approach, this aim requires overcoming substantial challenges related to Web-scale data and information management involving Big Data, such as performance and scalability, interoperability, multilinguality and heterogeneity problems, to offer personalised and accessible education services. Therefore, the LinkedUp Challenge provides a focused scenario to derive challenging requirements, evaluation criteria, benchmarks and thresholds which are reflected in the LinkedUp evaluation framework. Information management solutions have to apply data and learning analytics methods to provide highly personalised and context-aware views on heterogeneous Web data.
Building on the strong alliance of institutions with expertise in areas such as open Web data management, data integration and Web-based education, key outcomes of LinkedUp include a general-purpose evaluation framework for Web-data driven applications, a set of quality-assured educational datasets, innovative applications of large-scale Web information management, community-building and clustering crossing public and private sectors and substantial technology transfer of highly innovative Web information management technologies.
Mathieu d'Aquin'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.
Mathieu d'Aquin's participation in AFEL
AFEL
AFEL
2015-12-01
2018-11-30
Analytics for Everyday Learning
The goal of AFEL (Analytics for Everyday Learning) is to develop methods and tools to understand informal/collective learning as it surfaces implicitly in online social environments. While Learning Analytics and Educational Data Mining traditionally rely on data from formal learning environments, studies have for a long time demonstrated that learning activities happen for a large part online, in a variety of other platforms. The aim of AFEL is therefore to devise the tools for exploiting learning analytics on such learning activities, in relation to cognitive models of learning and collaboration that are necessary to the understanding of loosely defined learning processes in online social environments.
To achieve this, AFEL gathers a range of skills in a consortium funded by the EU Horizon 2020 programme including experts in data analytics, interaction with data, cognitive models of learning and collaboration, as well as the developers of online social platforms. Concretely, the objectives of this consortium are to 1) develop the tools necessary to capture information about learning activities from online social environments; 2) create methods for the analysis of such informal learning data, based on combining visual analytics with cognitive models of learning and collaboration; and 3) demonstrate the potential of the approach in improving the understanding of informal learning, and the way it can be better supported.
Mathieu d'Aquin's participation in CrowdSense
CrowdSense
CrowdSense
2014-01-01
Cheap, networked sensors to understand the way people use space.
Crowdsense relies on cheap, off-the-shelf technologies to create a network of sensors that can detect the location of people, through their wifi-enabled devices, within enclosed spaces. We use this information to create analytics that can be used and correlated with other data stream as a way to predict and improve the use of space for commercial or other purposes.
Mathieu d'Aquin's participation in Pred-Cident
Pred-Cident
Pred-Cident
2014-02-15
Visualise where accident happen
Pred-Cident shows and predict where accidents are most likely to happen based on previous history of accidents. Relying on data from police reports of accidents, Pred-Cident calculates the areas that have a higher probability that an accident might happen at a certain time of the week. This makes it possible to find interesting phenomena, such as the impact of certain recurring events or of particular types of places (schools, stadiums) on accidents, as well as to see how behaviours of drivers vary with time.
Mathieu d'Aquin'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.
Mathieu d'Aquin's participation in The Open University Linked Data
The Open University Linked Data
The Open University Linked Data
The home of open linked data from The Open University.
data.open.ac.uk is the home of open linked data from The Open University. We interlink and expose data available in various institutional repositories of the University and make it available openly for reuse.
The data can be queried through a SPARQL endpoint.
Currently, the datasets relate the publications, qualifications, courses and Audio/Video material produced at the Open University, as well as the people involved in making them.
All these data are available through standard formats (RDF and SPARQL) and are (in most cases) available under an open license (see details).