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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Soon Ae Chun Warner, J. |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Staten Island, City Univ. of New York, Staten Island, NY (Soon Ae Chun) || Georgian Court Univ., Lakewood, NJ (Warner, J.) |
| Abstract | In this paper, we recognize the shortcomings of the current search engines that do not index and search the deep Web. We present requirements of a deep Web service search engine, that will lead to the query objects in the deep data sources. In order to realize the DWS search engine, we propose semantic metadata and annotation of deep Web services (DWS), a reasoning component to assess the relevance of DWS for searching the deep Web contents, using likelihood of occurrence of data sources that contain the query terms, and present a method of ranking the DWSs. The deep Web service annotation considers not only the service descriptions like any Web services, but also has the frequency distribution, clustering and semantic prediction functions that may guide the search for DWSs. |
| Starting Page | 389 |
| Ending Page | 395 |
| File Size | 342054 |
| Page Count | 7 |
| File Format | |
| ISBN | 9780769533407 |
| ISSN | 15301354 |
| DOI | 10.1109/CECandEEE.2008.141 |
| 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 | Web services Search engines Information retrieval Lakes Semantic Web Data mining Educational institutions Frequency Content based retrieval Performance analysis frequency annotation Deep Web services Semantic annotation crawler spatial and temporal annotation |
| Content Type | Text |
| Resource Type | Article |
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