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Alumni Member

Victoria Uren (Alumni) Member status icon

Senior Research Fellow
Victoria Uren Photograph

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

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

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Publications

Publications | Visit External Site for Details Publications | doi 

Dadzie, A., Uren, V., Miller, T. and Abba-Dabo, A. (2018) Value-driven partner search for Energy from Waste projects, SEMANTiCS 2018 - 14th International Conference on Semantic Systems, Vienna, Austria, Procedia Computer Science, 137, pp. 21-32

Publications | Visit External Site for Details  

Uren, V., Wright, D., Scott, J., He, Y. and Saif, H. (2016) Social media and sentiment in bioenergy consultation, International journal of energy sector management

Publications | doi 

Uren, V. and Dadzie, A. (2015) Public science communication on Twitter: a visual analytic approach, Aslib Journal of Information Management, 67, 3, pp. 337 - 355

Publications | Visit External Site for Details Publications | Visit External Site for Details  

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  

Liu, H., Mulholland, P., Song, D., Uren, V. and Rueger, 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

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Tech Reports

View AbstractDownload PDF

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 AbstractDownload 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 AbstractDownload PDF

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

View all 15 Tech Reports

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Research Themes

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Prof Enrico Motta
KMi, The Open University

Using AI to capture representations of the political discourse in the news

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