A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Change detection in hierarchically structured information
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Synchronizing a database to improve freshness
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
The Evolution of the Web and Implications for an Incremental Crawler
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Change-Centric Management of Versions in an XML Warehouse
Proceedings of the 27th International Conference on Very Large Data Bases
Querying the Semantic Web: A Formal Approach
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Finding and Characterizing Changes in Ontologies
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Estimating frequency of change
ACM Transactions on Internet Technology (TOIT)
Detecting Changes in XML Documents
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Evaluating the validity of data instances against ontology evolution over the Semantic Web
Information and Software Technology
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To achieve improved availability and performance, often, local copies of remote data from autonomous sources are maintained. Web search engines are the primary examples of such services. Increasingly, these services are utilizing the Semantic Web as it is often envisioned as a machine-interpretable web. In order to keep the local repositories current, it is essential to synchronize their content with that of their original sources. Change detection is the first step to accomplish this. It is essential to have efficient change detection mechanisms as the size of the local repositories is often very large. In this paper, we present an approach that exploits the semantic relationships among the concepts in guiding the change detection process. Given changes to some seed instances, a reasoning engine fires a set of pre-defined rules to characterize the profile of the changed target instances. In addition to change detection, our proposed semantics-based approach of utilizing semantic associations can be utilized in other applications such as guiding information discovery for agents, consistency maintenance among distributed information sources, among others.