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CORE

Narrative Hypermedia  

Connecting REpositories by automatically linking Open Access research publications

The CORE project aims to facilitate the access and navigation across relevant scientific papers stored in Open Access repositories. The project will make a new open metadata repository available in the Linked Data format describing the semantic relatedness between resources stored across a selection of UK repositories, including the Open University Open Research Online (ORO). A resource discovery web-service and a
demonstrator client will be provided to allow UK repositories to easily navigate their users to relevant open access content stored across repositories. The usefulness of this service will be demonstrated on the ORO repository which will provide navigation links to related content in other repositories.

Participant(s): Petr Knoth, Annika Wolff

Project Champion: Zdenek Zdrahal

URL: http://core-project.kmi.open.ac.uk

Knoth, P. and Zdrahal, Z. (2012) CORE: Three Access Levels to Underpin Open Access, D-Lib Magazine, 18, 11/12, Corporation for National Research Initiatives

Herrmannova, D. and Knoth, P. (2012) Visual Search for Supporting Content Exploration in Large Document Collections, D-Lib Magazine, 18, 7/8, Corporation for National Research Initiatives

Knoth, P., Zilka, L. and Zdrahal, Z. (2011) KMI, The Open University at NTCIR-9 CrossLink: Cross-Lingual Link Discovery in Wikipedia Using Explicit Semantic Analysis, NTCIR-9: Evaluation of Information Access Technologies: Information Retrieval, Question Answering, and Cross-Lingual Information Access, Tokyo, Japan, pp. 495-502

Knoth, P., Zilka, L. and Zdrahal, Z. (2011) Using Explicit Semantic Analysis for Cross-Lingual Link Discovery, Workshop: 5th International Workshop on Cross Lingual Information Access: : Computational Linguistics and the Information Need of Multilingual Societies (CLIA) at The 5th International Joint Conference on Natural Language Processing (IJC-NLP 2011), Chiang Mai, Thailand

Knoth, P. and Zdrahal, Z. (2011) Mining Cross-document Relationships from Text, The First International Conference on Advances in Information Mining and Management (IMMM 2011), Barcelona, Spain