Ontological knowledge management through hybrid unsupervised clustering techniques
In the Semantic Web, ontology plays a prominent role to actualize knowledge sharing and reuse among distributed knowledge sources. Intelligently managing ontological knowledge (classes, properties and instances) enables efficacious ontological interoperability. In this paper, we present a hybrid uns...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
SPRINGER-VERLAG BERLIN
2008
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2790/ |
| _version_ | 1848790150797066240 |
|---|---|
| author | Ching-Chieh, Kiu Chien-Sing, Lee |
| author_facet | Ching-Chieh, Kiu Chien-Sing, Lee |
| author_sort | Ching-Chieh, Kiu |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In the Semantic Web, ontology plays a prominent role to actualize knowledge sharing and reuse among distributed knowledge sources. Intelligently managing ontological knowledge (classes, properties and instances) enables efficacious ontological interoperability. In this paper, we present a hybrid unsupervised clustering model, which comprises of Formal Concept Analysis, Self-Organizing Map and K-Means for managing ontological knowledge, and lexical matching based on Levenshtein edit distance for retrieving knowledge. The ontological knowledge management framework supports the tasks of adding a new ontological concept, updating and editing an existing ontological concept and querying ontological concepts to facilitate knowledge retrieval through conceptual clustering, cluster-based identification and concept-based query. The framework can be used to facilitate ontology reuse and ontological concept visualization and navigation in concept lattice form through the formal context space. |
| first_indexed | 2025-11-14T18:08:03Z |
| format | Article |
| id | mmu-2790 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:03Z |
| publishDate | 2008 |
| publisher | SPRINGER-VERLAG BERLIN |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-27902011-09-19T08:18:15Z http://shdl.mmu.edu.my/2790/ Ontological knowledge management through hybrid unsupervised clustering techniques Ching-Chieh, Kiu Chien-Sing, Lee T Technology (General) QA75.5-76.95 Electronic computers. Computer science In the Semantic Web, ontology plays a prominent role to actualize knowledge sharing and reuse among distributed knowledge sources. Intelligently managing ontological knowledge (classes, properties and instances) enables efficacious ontological interoperability. In this paper, we present a hybrid unsupervised clustering model, which comprises of Formal Concept Analysis, Self-Organizing Map and K-Means for managing ontological knowledge, and lexical matching based on Levenshtein edit distance for retrieving knowledge. The ontological knowledge management framework supports the tasks of adding a new ontological concept, updating and editing an existing ontological concept and querying ontological concepts to facilitate knowledge retrieval through conceptual clustering, cluster-based identification and concept-based query. The framework can be used to facilitate ontology reuse and ontological concept visualization and navigation in concept lattice form through the formal context space. SPRINGER-VERLAG BERLIN 2008-04 Article NonPeerReviewed Ching-Chieh, Kiu and Chien-Sing, Lee (2008) Ontological knowledge management through hybrid unsupervised clustering techniques. PROGRESS IN WWW RESEARCH AND DEVELOPMENT, 4976. pp. 499-510. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=V2GaBj7ab9nE8K6j8mn&page=83&doc=828 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ching-Chieh, Kiu Chien-Sing, Lee Ontological knowledge management through hybrid unsupervised clustering techniques |
| title | Ontological knowledge management through hybrid unsupervised clustering techniques |
| title_full | Ontological knowledge management through hybrid unsupervised clustering techniques |
| title_fullStr | Ontological knowledge management through hybrid unsupervised clustering techniques |
| title_full_unstemmed | Ontological knowledge management through hybrid unsupervised clustering techniques |
| title_short | Ontological knowledge management through hybrid unsupervised clustering techniques |
| title_sort | ontological knowledge management through hybrid unsupervised clustering techniques |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2790/ http://shdl.mmu.edu.my/2790/ |