Showing all 7 Tech Reports linked to Jianhan Zhu

The Open University at TREC 2006 Enterprise Track Expert Search Task

The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University par-ticipated in the Expert Search task of the Enterprise Track in TREC 2006. We have proposed to address three main innovative points in a two-stage language model, which consists of a document relevance model and a co-occurrence model, in order to improve the performance of expert search. The three innovative points are based on characteristics of documents. First, document authority in terms...read more

ID: kmi-07-02

Date: 2007

Author(s): Jianhan Zhu, Dawei Song, Stefan Rüger, Marc Eisenstadt, Enrico Motta

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LRD: Latent Relation Discovery for Vector Space Expansion and Information Retrieval

In this paper, we propose a text mining method called LRD (latent relation discovery), which extends the traditional vector space model of document representation in order to improve information retrieval (IR) on documents and document clustering. Our LRD method extracts terms and entities, such as person, organization, or project names, and discovers relationships between them by taking into account their co-occurrence in textual corpora. Given a target entity, LRD discovers other entities...read more

ID: kmi-06-09

Date: 2006

Author(s): Alexandre Gonçalves, Jianhan Zhu, Dawei Song, Victoria Uren, Roberto Pacheco

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Exploiting Semantic Association To Answer Vague Queries

Although today's web search engines are very powerful, they still fail to provide intuitively relevant results for many types of queries, especially ones that are vaguely-formed in the user's own mind. We argue that associations between terms in a search query can reveal the underlying information needs in the users' mind and should be taken into account in search. We propose a multi-faceted approach to detect and exploit such associations. The CORDER method measures the association strength...read more

ID: KMI-06-01

Date: 2006

Author(s): Jianhan Zhu, Marc Eisenstadt, Dawei Song, Chris Denham

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Extracting Domain Ontologies with CORDER

The CORDER web mining engine developed at the Knowledge Media Institute computes a lexical coocurrence network out of websites - a binary relation R. A natural extension of CORDER would be that of learning an ontology. However, our work shows that coocurrence proves insufficient to discover concepts and conceptual taxonomies (i.e. very simple ontologies) out of this network. To tackle this problem two unsupervised learning methods were studied based, on the one hand, on set similarity (and thus...read more

ID: kmi-05-14

Date: 2005

Author(s): Camilo Thorne, Jianhan Zhu, Victoria Uren

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BuddyFinder-CORDER: Leveraging Social Networks for Matchmaking by Opportunistic Discovery

Online social networking tools are extremely popular, but can miss potential discoveries latent in the social 'fabric'. Matchmaking services can do naive profile matching with old database technology, and modern ontological markup, though powerful, can be onerous at data-input time. In this paper, we present a system called BuddyFinder-CORDER which can automatically produce a ranked list of buddies to match a user's search requirements specified in a term-based query, even in the absence of...read more

ID: kmi-05-13

Date: 2005

Author(s): Jianhan Zhu, Marc Eisenstadt, Alexandre Goncalves, Chris Denham

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Adaptive Named Entity Recognition for Social Network Analysis and Domain Ontology Maintenance

We present a system which unearths relationships between named entities from information in Web pages. We use an adaptive named entity recognition system, ESpotter, which recognizes entities of various types with high precision and recall from various domains on the Web, to generate entity data such as peoples' names. Given an entity, we apply a link analysis algorithm to the entity data for finding other entities which are closely related to it. We present our results to people whose names had...read more

ID: kmi-04-30

Date: 2004

Author(s): Jianhan Zhu, Alexandre L. Goncalves, Victoria Uren

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ESpotter: Adaptive Named Entity Recognition for Web Browsing

Web users are facing information overload problems, i.e., it is hard for them to find desired information on the web. Hence the growing interest in named entity recognition (NER) for discovering relevant information on users behalf. We present a browser plug-in called ESpotter which adapts lexicons and patterns to a domain hierarchy consisting of domains on the web and user preferences for accurate and efficient NER. Mappings are created from domain independent types to domain...read more

ID: kmi-04-12

Date: 2004

Author(s): Jianhan Zhu, Victoria Uren, Enrico Motta

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Front-end Web Developer and UX Designer (GR7)

Knowledge Media Institute (KMi)
£33,199 - £39,609
Based in Milton Keynes
Temporary contract up to 20 months

The team at the OU runs the world's largest aggregator of research papers called CORE (core.ac.uk), with about 1.5 million monthly active users, and a set of projects promoting principles of Open Science, such as FOSTER (fosteropenscience.eu). CORE provides free access to millions of Open Access research papers as well as a number of information services for researchers, organisations and businesses. These include services enabling text & data mining, recommender systems, content management...

Front-end Web Developer and UX Designer (GR6)

Knowledge Media Institute (KMi)
£27,025 - £32,236
Based in Milton Keynes
Temporary contract up to 20 months

The team at The Open University runs the world's largest aggregator of research papers called CORE (core.ac.uk), with about 1.5 million monthly active users, and a set of projects promoting principles of Open Science, such as FOSTER (fosteropenscience.eu). CORE provides free access to millions of Open Access research papers as well as a number of information services for researchers, organisations and businesses. These include services enabling text & data mining, recommender systems, content...

Research Asst / Assoc / Fellow for Blockchain Learning Verification

Knowledge Media Institute (KMi)
£30,395 - £44,559 (Grade AC1 / AC2 / AC3)
Based in Milton Keynes
Temporary contract until 31st December 2021

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant, a Research Associate or a Research Fellow to work on the IoC project - how blockchains can be used to store student accreditation and lifelong learning records in order to enhance employability. The Open University leads the IoC's first theme on university learning, which aims to...

Mobile Applications Developer (GR6)

Knowledge Media Institute (KMi)
£27,025 - £32,236
Based in Milton Keynes
Permanent Appointment

The Research and Innovation Software team develop software for a range of research projects and University courses. With this role we are looking for someone who can be a mobile applications developer for the team. This would involve both maintaining our existing set of mobile applications and undertaking the development of new mobile applications using the Unity development environment. You will also be required to extend your capabilities over time to include Augmented Reality (AR) and...

Research Asst / Assoc / Fellow for Mainstreaming Learning Analytics

Knowledge Media Institute (KMi)
£30,395 - £44,559 (Grade AC1 / AC2 / AC3)
Based in Milton Keynes
Temporary contract until 31st March 2021

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant, a Research Associate or a Research Fellow to work on the IoC project - how we can adapt, deploy and mainstream our learning analytics tool across a number of educational establishments nationally. The Open University leads the IoC's first theme on university learning, which aims to...

Research Assistant / Associate

Knowledge Media Institute (KMi)
£30,395 - £39,609 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 30th April 2020

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate (depending on qualification), to work on EU funded project - Up2U. The project will be focusing on the context of secondary schools, often referred to as high schools, which provide secondary education between the ages of 11 and 19 depending on the country, after primary school and before higher education. The learning context from the perspective of the students is the intersection of formal...

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