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Vargas-Vera, Maria; Moreale, Emanuela; Stutt, Arthur; Motta, Enrico and Ciravegna, Fabio
(2007).
DOI: https://doi.org/10.1007/978-0-387-37022-4_13
Abstract
Ontologies can play a very important role in information systems. They can support various information system processes, particularly information acquisition and integration. Ontologies themselves need to be designed, built and maintained. An important part of the ontology engineering cycle is the ability to keep a handcrafted ontology up to date. Therefore, we have developed a tool called MnM that helps during the ontology maintenance process. MnM extracts information from texts and populates an ontology. It uses NLP (Natural Language Processing), Information Extraction and Machine Learning technologies. In particular, MnM was tested using an electronic newsletter consisting of news articles describing events happening in the Knowledge Media Institute (KMi). MnM could constitute an important part of an ontology-driven information system, with its integrated web-based ontology editor and provision of open APIs to link to ontology servers and to integrate with information extraction tools.
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About
- Item ORO ID
- 23626
- Item Type
- Book Section
- ISBN
- 0-387-37019-6, 978-0-387-37019-4
- Keywords
- information extraction; ontology population; ontology-driven information systems
- Academic Unit or 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)
- Copyright Holders
- © 2007 Springer Science+Business Media, LLC
- Depositing User
- Kay Dave