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MnM: Semi-Automatic Ontology Population from Text

  • Chapter
Ontologies

Part of the book series: Integrated Series in Information Systems ((ISIS,volume 14))

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 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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Author information

Authors and Affiliations

  1. Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK

    Maria Vargas-Vera, Emanuela Moreale, Arthur Stutt & Enrico Motta

  2. Department of Computer Science, University of Sheffield, Regent Court, 211Portobello Street, Sheffield, S1 4DP, UK

    Fabio Ciravegna

Authors
  1. Maria Vargas-Vera
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  2. Emanuela Moreale
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  3. Arthur Stutt
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  4. Enrico Motta
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  5. Fabio Ciravegna
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Editor information

Editors and Affiliations

  1. SUNY, Buffalo, New York, USA

    Raj Sharman , Rajiv Kishore  & Ram Ramesh ,  & 

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Vargas-Vera, M., Moreale, E., Stutt, A., Motta, E., Ciravegna, F. (2007). MnM: Semi-Automatic Ontology Population from Text. In: Sharman, R., Kishore, R., Ramesh, R. (eds) Ontologies. Integrated Series in Information Systems, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-37022-4_13

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  • DOI: https://doi.org/10.1007/978-0-387-37022-4_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-37019-4

  • Online ISBN: 978-0-387-37022-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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