ABSTRACT
Aemoo is a Semantic Web application supporting knowledge exploration on the Web. Through a keyword-based search interface, users can gather an effective summary of the knowledge about an entity, according to Wikipedia, Twitter, and Google News. Summaries are designed by applying lenses based on a set of empirically discovered knowledge patterns.
- A. Gangemi and V. Presutti. Towards a pattern science for the semantic web. Semantic Web, 1(1-2):61--68, 2010. Google ScholarCross Ref
- P. Heim, S. Hellmann, J. Lehmann, S. Lohmann, and T. Stegemann. RelFinder: Revealing relationships in RDF knowledge bases. In Proceedings of the 3rd International Conference on Semantic and Media Technologies (SAMT), volume 5887 of Lecture Notes in Computer Science, pages 182--187. Springer, 2009. Google ScholarDigital Library
- P. Heim, J. Ziegler, and S. Lohmann. gFacet: A browser for the web of data. In S. Auer, S. Dietzold, S. Lohmann, and J. Ziegler, editors, Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW'08), pages 49--58. CEUR-WS, 2008.Google Scholar
- A. G. Nuzzolese, A. Gangemi, V. Presutti, and P. Ciancarini. Encyclopedic knowledge patterns from wikipedia links. In L. Aroyo, N. Noy, and C. Welty, editors, Proceedings fo the 10th International Semantic Web Conference (ISWC2011), pages 520--536. Springer, 2011. Google ScholarDigital Library
- G. Tummarello, R. Cyganiak, M. Catasta, S. Danielczyk, R. Delbru, and S. Decker. Sig.ma: Live views on the web of data. Web Semantics: Science, Services and Agents on the World Wide Web, 8(4):355--364, 2010. Semantic Web Challenge 2009, User Interaction in Semantic Web research. Google ScholarDigital Library
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