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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Suresh, K.V. Thenmozhi, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Inf. Technol., SRM Univ., Kattankulathur, India (Suresh, K.V.; Thenmozhi, M.) |
| Abstract | Semantic Web is one of the budding concepts in the data mining technology. Data mining involves extraction of data from a relevant and a huge source or a database or the World Wide Web. Whereas, semantic web involves cleaning, selection, transformation and presentation of data on the web. It covers wide knowledge from multiple disciplines like database technology, pattern recognition, visualization, machine learning and algorithm analysis. Further, it is responsible for fetching relevant data based on user's request. In the web world, there are many queries issued to search engines to find values from sorted data like train timing. In such scenarios, there is often a mismatch between the values of the user queries and the presented data on the web. Our proposed solution involves the usage of query logs both to generate entity synonym candidates, as well as to measure the likelihood of a candidate to be actual entity synonym. We also identify several clean up strategies to remove common and context-sensitive noise words. We further investigate the underlying cause of the formation of entity synonyms, by studying different entity synonym classes. |
| Sponsorship | IEEE Madras Sect. |
| Starting Page | 535 |
| Ending Page | 539 |
| File Size | 251701 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467357869 |
| e-ISBN | 9781467357883 |
| DOI | 10.1109/ICICES.2013.6508364 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-02-21 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Semantic web Candidates Databases Noise Search engines Motion pictures Synonym Hyponym Data mining Hypernym Web search |
| Content Type | Text |
| Resource Type | Article |
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