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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qasem, A. Dimitrov, D.A. Heflin, J. |
| Copyright Year | 2008 |
| Description | Author affiliation: Tech-X Corp., Boulder, CO (Dimitrov, D.A.) || Lehigh Univ., Bethlehem, PA (Qasem, A.; Heflin, J.) |
| Abstract | We present ISENS, a distributed, end-to-end, ontology-based information integration system. In response to a user's query, our system is capable of retrieving facts from data sources that are found in the surface semantic Web as well as inthe semantic Deep Web. Furthermore, it retrieves facts from sources where the data is not directly described in terms of the query ontology. Instead, its ontology can be translated from the query ontology using mapping axioms. In our solution, we use the concept of source relevance to summarize the content of a data source. Our system can then use this information to select the needed sources to answer a given query. Source relevance is general enough that it can be used with both the surface semantic Web and the semantic Deep Web. In this paper, we show how we have incorporated three particular Deep Web data sources into our system to enable answering queries by composing information from the integrated sources. |
| Starting Page | 396 |
| Ending Page | 399 |
| File Size | 355533 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769533407 |
| ISSN | 15301354 |
| DOI | 10.1109/CECandEEE.2008.104 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Ontologies Cities and towns USA Councils Information retrieval OWL Drives Blogs Metasearch Search engines Information integration |
| Content Type | Text |
| Resource Type | Article |
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