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Knowledge base population and visualization using an ontology based on semantic roles
Abstract This paper extracts facts using "micro-reaThis paper extracts facts using "micro-reading" of text in contrast to approaches that extract common-sense knowledge using "macro-reading" methods. Our goal is to extract detailed facts about events from natural language using a predicate-centered view of events (who did what to whom, when and how). We exploit semantic role labels in order to create a novel predicate-centric ontology for entities in our knowledge base. This allows users to find uncommon facts easily. To this end, we tightly couple our knowledge base and ontology to an information visualization system that can be used to explore and navigate events extracted from a large natural language text collection. We use our methodology to create a web-based visual browser of history events in Wikipedia.al browser of history events in Wikipedia.
Abstractsub This paper extracts facts using "micro-reaThis paper extracts facts using "micro-reading" of text in contrast to approaches that extract common-sense knowledge using "macro-reading" methods. Our goal is to extract detailed facts about events from natural language using a predicate-centered view of events (who did what to whom, when and how). We exploit semantic role labels in order to create a novel predicate-centric ontology for entities in our knowledge base. This allows users to find uncommon facts easily. To this end, we tightly couple our knowledge base and ontology to an information visualization system that can be used to explore and navigate events extracted from a large natural language text collection. We use our methodology to create a web-based visual browser of history events in Wikipedia.al browser of history events in Wikipedia.
Bibtextype inproceedings  +
Doi 10.1145/2509558.2509573  +
Has author Siahbani M. + , Vadlapudi R. + , Whitney M. + , Sarkar A. +
Has extra keyword Information visualization system + , Knowledge base + , Natural language text + , Natural languages + , Ontology-based + , Semantic roles + , Wikipedia + , Data mining + , Information retrieval + , Ontology + , Semantics + , Knowledge based systems +
Has keyword Information extraction + , Knowledge base + , Ontology +
Isbn 9781450324113  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 85–89  +
Published in AKBC 2013 - Proceedings of the 2013 Workshop on Automated Knowledge Base Construction, Co-located with CIKM 2013 +
Title Knowledge base population and visualization using an ontology based on semantic roles +
Type conference paper  +
Year 2013 +
Creation dateThis property is a special property in this wiki. 7 November 2014 19:13:32  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 19:13:32  +
DateThis property is a special property in this wiki. 2013  +
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Knowledge base population and visualization using an ontology based on semantic roles + Title
 

 

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