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Template-driven information extraction for populating ontologies

Vargas-Vera, Maria; Domingue, John; Kalfoglou, Yannis; Motta, Enrico and Buckingham Shum, Simon (2001). Template-driven information extraction for populating ontologies. In: IJCAI'01 Workshop on Ontology Learning, 4 Aug 2001, Seattle, WA, USA.

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We address the integration of information extraction (IE) and ontologies. In particular, using an ontology to aid the IE process, and using the IE results to help populate the ontology. We perform IE by means of domain specific templates and the lightweight use of Natural Languages Processing techniques (NLP). Our main goal is to learn information from text by the use of templates and in this way to alleviate the main bottleneck in creating knowledge-base systems that is "the extraction of knowledge". Our domain of study is "KMi Planet", a Web-based news server for communication of stories between members in our institute. The main goals of our system are to classify an incoming story, obtain the relevant objects within the story, deduce the relationships between them, and to populate the ontology. Furthermore, we aim to do this with minimal help from the user.

Item Type: Conference or Workshop Item
Copyright Holders: 2001 The Authors
ISSN: 1613-0073
Extra Information: Pubished online in CEUR Workshop Proceedings as 'IJCAI'2001 Workshop on Ontology Learning - in the Proceedings of the Second Workshop on Ontology Learning OL'2001 Seattle, USA, August 4, 2001. Held in conjunction with the 17th International Conference on Artificial Intelligence IJCAI'2001, Seattle, USA'.
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23337
Depositing User: Kay Dave
Date Deposited: 14 Apr 2011 10:12
Last Modified: 15 Jan 2019 06:59
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