Semantic Annotation and Question Answering of Statistical Graphs
Identifieur interne : 000B28 ( Main/Exploration ); précédent : 000B27; suivant : 000B29Semantic Annotation and Question Answering of Statistical Graphs
Auteurs : Michel Dumontier [Canada] ; Leo Ferres [Chili] ; Natalia Villanueva-Rosales [Canada]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: Although statistical graphs are ubiquitous, few techniques and standards exist to exchange, search and query these graphical representations. The gSem project aims to improve human-graph interaction by developing new approaches to manage statistical graph knowledge. Two specific objectives of this project are addressed in this paper: (1) improve the efficiency of searching statistical graph knowledge and (2) facilitate sophisticated question answering about statistical graph knowledge. In particular, semantic annotation and query answering across statistical graphs with OWL ontologies are described.
Url:
DOI: 10.1007/978-3-540-88636-5_9
Affiliations:
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The gSem project aims to improve human-graph interaction by developing new approaches to manage statistical graph knowledge. Two specific objectives of this project are addressed in this paper: (1) improve the efficiency of searching statistical graph knowledge and (2) facilitate sophisticated question answering about statistical graph knowledge. 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