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Ontologies pp 519–543Cite as

The Knowledge Collective Framework Makes Ontology Based Information Accessible, Maintainable, and Reusable

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

Abstract

The Knowledge Collective is a multi-layer, multi-agent framework for information reuse in an intelligent knowledge base that supports a collection of agents called MicroDroids, which provide information management capabilities through a variety of interfaces for experts, human users, and software components. This information is stored in a variety of internal structures (e.g., Java objects, rules, database structures). The main concept is that information is stored in a format that is natural to the type of information being maintained (e.g., data, metadata, ontologies, concept maps, lexicons, rules). The Knowledge Collective will make ontology based information accessible to many end users, maintainable by domain experts and reusable by many users across many applications without knowing how or where the information is stored. The Knowledge Collective’s first use is in version 4 of CIRCSIM-Tutor, an Intelligent Tutoring System developed at the Illinois Institute of Technology in Chicago, IL.

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Authors and Affiliations

  1. Illinois Institute of Technology, 244 Gazebo, Lombard, IL, 60148

    Jay A. Yusko

  2. Illinois Institute of Technology, 10 West 31st Street, Chicago, IL, 60616

    Martha W. Evens

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  1. Jay A. Yusko
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  2. Martha W. Evens
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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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Yusko, J.A., Evens, M.W. (2007). The Knowledge Collective Framework Makes Ontology Based Information Accessible, Maintainable, and Reusable. 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_18

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  • DOI: https://doi.org/10.1007/978-0-387-37022-4_18

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-37019-4

  • Online ISBN: 978-0-387-37022-4

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