People | Member | Ning LiResearch Associate
My research interest in KMi is mainly concerned with Semantic Web and Semantic Web Service. In particular, I have worked in the NeOn project on the aspects of ontology summarization and its evaluation, ontology summarized visualisation and navigation. In SmartProduct project, I have investigated the performance of rule-based reasoning on small devices. I having been working on providing invocation supports for generic Web APIs in the context of SOA4All project and mEducator project. I am currently working on SEALs project for supporting large-scale evaluation of Semantic Web Service technologies.
Keys: Semantic Web, Semantic Web Service, Knowledge Management
Cabral, L., Li, N. and Kopecky, J. (2012) Building the WSMO-Lite Test Collection on the SEALS Platform, Workshop: Second International Workshop on Evaluation of Semantic Technologies (IWEST) at 9th Extended Semantic Web Conference, Heraklion, Greece
Rey, G., Celino, I., Damova, M., Damljanovic, D., Li, N., Alexopoulos, P. and Devedzic, V. (2012) Semi-Automatic Generation of Quizzes and Learning Artifacts from Linked Data, Workshop: Linked Learning (Lile2012) at World Wide Web (WWW), Lyon,France
Motta, E., Peroni, S., Gomez-Perez, J., d'Aquin, M. and Li, N. (2012) Visualizing and Navigating Ontologies with KC-Viz, in eds. Suárez-Figueroa, M.C., Gómez-Pérez, A., Motta, E., Gangemi, A., Ontology Engineering in a Networked World, pp. 343-362, Springer
Maleshkova, M., Pedrinaci, C., Li, N., Kopecky, J. and Domingue, J. (2011) Lightweight Semantics for Automating the Invocation of Web APIs, IEEE International Conference on Service Oriented Computing & Applications (SOCA 2011), Irvine, California, USA
Pedrinaci, C., Kopecky, J., Maleshkova, M., Liu, D., Li, N. and Domingue, J. (2011) Unified Lightweight Semantic Descriptions of Web APIs and Web Services, Workshop: W3C Workshop on Data and Services Integration, Bedford, MA, USA
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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