This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals. You can also use "jokers" in the keywords (e.g., "ca? dog*"). Navigation in the results follows very simple principles. First, whenever a sign appears, it can be used to display additional information about the element it is attached with. Second, every URI is clickable. A URI is a link to a page describing either the entity or the semantic document it corresponds to, and gives access to additional functionalities using this particular entity or document.
With this Web page, we are opening some aspects of hakia R&D to the view of our users. We undertook highly specific research tasks solely dedicated to the advancement of the core-competency in Web search. The main challenge is to make science work in a co
ArcGIS Online is a unified Web portal designed by Environment System Research Institute (ESRI). It contains a rich collection of Web maps, layers, and services contributed by GIS users throughout the world. The metadata about these GIS resources reside in data silos that can be accessed via a Web API. While this is sufficient for simple syntax-based searches, it does not support more advanced queries, e.g., finding maps based on the semantics of the search terms, or performing customized queries that are not pre-designed in the API. In metadata, titles and descriptions are commonly available attributes which provide important information about the content of the GIS resources. Ho
R. Baeza-Yates, and A. Tiberi. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, page 76--85. New York, NY, USA, ACM, (2007)description = Extracting semantic relations from query logs,
location = San Jose, California, USA,
isbn = 978-1-59593-609-7,
doi = http://doi.acm.org/10.1145/1281192.1281204.
R. Baeza-Yates, and A. Tiberi. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, page 76--85. New York, NY, USA, ACM, (2007)
R. Baeza-Yates, and A. Tiberi. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, page 76--85. New York, NY, USA, ACM, (2007)
R. Baeza-Yates, and A. Tiberi. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, page 76--85. New York, NY, USA, ACM, (2007)description = Extracting semantic relations from query logs,
location = San Jose, California, USA,
isbn = 978-1-59593-609-7,
doi = http://doi.acm.org/10.1145/1281192.1281204.
P. Basile, A. Caputo, A. Gentile, M. de Gemmis, P. Lops, and G. Semeraro. Proceedings of the Workshop on Semantic Search (SemSearch 2008) at the 5th European Semantic Web Conference (ESWC 2008) , June 2, 2008, Tenerife, Spain, volume 334 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)
P. Basile, A. Caputo, A. Gentile, M. de Gemmis, P. Lops, and G. Semeraro. Proceedings of the Workshop on Semantic Search (SemSearch 2008) at the 5th European Semantic Web Conference (ESWC 2008) , June 2, 2008, Tenerife, Spain, volume 334 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)
D. Benz, B. Krause, G. Kumar, A. Hotho, and G. Stumme. Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009), Bled, Slovenia, (September 2009)