Algorithmic Framework For Onthology Mapping And Merging


Kiu, Ching Chieh (2007) Algorithmic Framework For Onthology Mapping And Merging. PhD thesis, Multimedia University.

Full text not available from this repository.


This research proposes OntoDNA, an automated ontology mapping and merging algorithmic framework to provide a scalable environment for interoperating ontologies between information sources. Onto DNA aims to offer contextual and robust ontology mapping and merging through hybrid unsupervised clustering techniques comprising of Formal Concept Analysis (FCA), Self-organization Map (SOM) and K-Means clustering incorporated with lexical measurement, Levenshtein edit distance.

Item Type: Thesis (PhD)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Aug 2010 03:16
Last Modified: 23 Aug 2010 03:16


Downloads per month over past year

View ItemEdit (login required)