Algorithmic Framework For Onthology Mapping And Merging

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 clusterin...

Full description

Saved in:

Bibliographic Details
Main Author:	Kiu, Ching Chieh
Format:	Thesis
Published:	2007
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-mmu-ep.1151
record_format	uketd_dc
spelling	my-mmu-ep.11512010-08-23T03:16:53Z Algorithmic Framework For Onthology Mapping And Merging 2007-03 Kiu, Ching Chieh TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television 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. 2007-03 Thesis http://shdl.mmu.edu.my/1151/ http://myto.perpun.net.my/metoalogin/logina.php phd doctoral Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Kiu, Ching Chieh Algorithmic Framework For Onthology Mapping And Merging
description	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.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kiu, Ching Chieh
author_facet	Kiu, Ching Chieh
author_sort	Kiu, Ching Chieh
title	Algorithmic Framework For Onthology Mapping And Merging
title_short	Algorithmic Framework For Onthology Mapping And Merging
title_full	Algorithmic Framework For Onthology Mapping And Merging
title_fullStr	Algorithmic Framework For Onthology Mapping And Merging
title_full_unstemmed	Algorithmic Framework For Onthology Mapping And Merging
title_sort	algorithmic framework for onthology mapping and merging
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2007
_version_	1747829302921003008

Algorithmic Framework For Onthology Mapping And Merging

Similar Items