Instance assisted ontology alignment for digital museums

Authors:
Hongzhe Liu;Hong Bao;Junkang Feng
Affiliations:
Institute of Information Technology, Beijing Union University, Beijing, China;Institute of Information Technology, Beijing Union University, Beijing, China;School of Computing, University of Paisley, Paisley, Scotland, UK
Venue:
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Year:
2007

Citing 5
Cited 1

Information flow: the logic of distributed systems

Information flow: the logic of distributed systems
OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies

Distributed and Parallel Databases
MAFRA - A MApping FRAmework for Distributed Ontologies

EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Querying Distributed Data through Distributed Ontologies: A Simple but Scalable Approach

IEEE Intelligent Systems
Ontology translation on the semantic web

Journal on Data Semantics II

The use of domain ontologies for the virtual scenes management

WSEAS Transactions on Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is desirable to the distribute data and knowledge of a huge amount of cultural heritage and to make them available readily to people, but the distributed, heterogeneous and autonomous nature of the databases of digital museums gives rise to the challenge of achieving the best retrieval results in cross-system searching. To make this difficult task tractable, we analyze semantic heterogeneities among these data sources and describe an instance based approach to accomplishing soundness and completeness preserving ontology alignment by using the information flow theory.