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MAKO: Multi-Ontology Analytical Knowledge Organization based on Topic Maps

Paper, was published by Larry Kerschberg and Riki Morikawa at 2003-09-30

This paper addresses how the XML Topic Map (XTM) 1.0 standard can be used to develop an analytical knowledge base.

External Links: download paper and IEEE record

This paper addresses how the XML Topic Map (XTM) 1.0 standard can be used to develop an analytical knowledge base comprised of multiple ontologies to support intelligence assessments. Termed the Multi-Ontology Analytical Knowledge Organizational (MAKO) framework, it incorporates a Multidimensional Ontology Model (MOM) that organizes subjects into separate conceptualizations based upon common-sense groupings. Topic, association and occurrence elements are temporally serialized, according to the Temporal Layer Model (TLM), to accommodate, and historically preserve, modifications to the knowledge base as world events change.

Authors

Riki Morikawa

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Riki is author of MAKO: Multi-Ontology.. .

 

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Nowadays Topic Maps appears to be very suitable for being applied in Libraries, Archives and Museums. It provides a suitable model and mechanisms for depth indexing, classification and the implementation of FRBR, CIDOC-CRM or other conceptualizations.

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