MAKO: Multi-Ontology Analytical Knowledge Organization based on topic maps

We address 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 MultiOntology Analytical Knowledge Organizational (MAKO) framework, it incorporates a Multidimensional Ontology Mod...

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Bibliographic Details
Published inProceedings. 15th International Workshop on Database and Expert Systems Applications, 2004 pp. 459 - 463
Main Authors Morikawa, A.R.Y., Kerschberg, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Fellows
Information analysis
Knowledge management
Matrix decomposition
Message-oriented middleware
Multidimensional systems
Ontologies
Standards organizations
XML
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Summary:We address 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 MultiOntology 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.
ISBN:9780769521954
0769521959
ISSN:1529-4188
DOI:10.1109/DEXA.2004.1333517