Towards an Ontology based integrated Framework for Semantic Web
Nora Y. Ibrahim, Sahar A. Mokhtar, Hany M. Harb

TL;DR
This paper proposes an integrated framework for ontology merging to enhance interoperability among diverse ontologies and XML data sources, facilitating unified knowledge representation on the Semantic Web.
Contribution
It introduces a novel ontology merging methodology specifically designed for combining heterogeneous XML-based ontologies into a single comprehensive ontology.
Findings
Effective merging of heterogeneous ontologies achieved
Improved interoperability between different XML data sources
Enhanced capability for unified knowledge management
Abstract
This Ontologies are widely used as a means for solving the information heterogeneity problems on the web because of their capability to provide explicit meaning to the information. They become an efficient tool for knowledge representation in a structured manner. There is always more than one ontology for the same domain. Furthermore, there is no standard method for building ontologies, and there are many ontology building tools using different ontology languages. Because of these reasons, interoperability between the ontologies is very low. Current ontology tools mostly use functions to build, edit and inference the ontology. Methods for merging heterogeneous domain ontologies are not included in most tools. This paper presents ontology merging methodology for building a single global ontology from heterogeneous eXtensible Markup Language (XML) data sources to capture and maintain all…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSemantic Web and Ontologies · Service-Oriented Architecture and Web Services · Advanced Database Systems and Queries
