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People | Alumni | Victoria Uren

Senior Research Fellow

I worked on knowledge management projects that use semantic web technologies.

Keys: knowledge management, ontologies, semantic web, human computer interaction

5 Most Recent External Publications

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Lopez, V., Uren, V., Sabou, M. and Motta, E. (2011) Is Question Answering fit for the Semantic Web? A Survey, Journal of Semantic Web - Interoperability, Usability, Applicability, In Press

Publications | Download PDF Publications | Visit External Site for Details

Fernández, M., Zhang, Z., Lopez, V., Uren, V. and Motta, E. (2011) Ontology Augmentation: combining Semantic Web and Text Resources, 6th International Conference on Knowledge Capture (K-CAP 2011), Banff, Alberta, Canada

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Liu, H., Mulholland, P., Song, D., Uren, V. and Rüger, S. (2011) An Information Foraging Theory Based User Study of an Adaptive User Interaction Framework for Content-based Image Retrieval, Special Session: Interactive Image and Video Retrieval, The 17th International Conference on MultiMedia Modeling (MMM2011), Taipei, Taiwan, Springer

Publications | Visit External Site for Details

Uren, V., Sabou, M., Motta, E., Fernández, M., Lopez, V. and Lei, Y. (2010) Reflections on Five Years of Evaluating Semantic Search Systems, International Journal of Metadata, Semantics and Ontologies (IJMSO), 5, 2, pp. 87-98

Publications | Download PDF Publications | Visit External Site for Details

Lopez, V., Nikolov, A., Sabou, M., Uren, V. and Motta, E. (2010) Scaling up Question-Answering to Linked Data, Knowledge Engineering and Knowledge Management by the Masses (EKAW-2010), Lisboa, Portugal

View all 72 publications

5 Most Recent Tech Reports


State of the art on Semantic Question Answering
Techreport ID: kmi-07-03
Date: 2007
Author(s): Vanessa Lopez, Enrico Motta, Victoria Uren, Marta Sabou
View Abstract Download PDF


SemSearch: A Search Engine for the Semantic Web
Techreport ID: kmi-06-11
Date: 2006
Author(s): Yuangui Lei, Victoria Uren, Enrico Motta
View Abstract Download PDF


LRD: Latent Relation Discovery for Vector Space Expansion and Information Retrieval
Techreport ID: kmi-06-09
Date: 2006
Author(s): Alexandre Gonçalves, Jianhan Zhu, Dawei Song, Victoria Uren, Roberto Pacheco
View Abstract Download PDF


Extracting Domain Ontologies with CORDER
Techreport ID: kmi-05-14
Date: 2005
Author(s): Camilo Thorne, Jianhan Zhu, Victoria Uren
View Abstract Download PDF


Sensemaking Tools for Understanding Research Literatures: Design, Implementation and User Evaluation
Techreport ID: kmi-05-09
Date: 2005
Author(s): Victoria Uren, Simon Buckingham Shum, Michelle Bachler, Gangmin Li
View Abstract Download PDF

View all 15 Tech Reports  
 
Knowledge Media Institute | The Open University | Staff List Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.