Abstract
With the fast growth rate of information availability through the World Wide Web, search engines' ranking become limited to deal with such enormous amount of information. Web search engines should be enriched with methodologies that enable it to understand the content of Web pages, then to align pages to the correct query category that highly match its content. In this paper, a proposed system is introduced to deal with the abundance of information by automatically understand the content of a Web page, and semantically model the ontological concepts that exist inside it. The semantic relations between ontological concepts are automatically given a score or weight based on its influence to the given query. The weighted semantic relations between ontological concepts can be viewed as a signature for the query, the highly similarity of an article to this signature, the more relevant to the query. A new relevancy measure is introduced to semantically re-rank or classify Web pages based on computing the semantic similarity of the weighted intersection ratio between ontological concepts extracted from retrieved Web pages, and ontological concepts that represents the query. Results shows that the proposed system has the highest Pearson correlation coefficient (0.890) to human judgments which outperforms semantic similarity state-of-the-art methods and Web-based methods. The proposed model, was tested to re-rank Web pages according to the semantic relevancy of the query, experiments shows that it has the highest convergence to expert ranking order of Web pages compared to other Web search engines.
Original language | English |
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Title of host publication | Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 542-549 |
Number of pages | 8 |
ISBN (Electronic) | 9781467366564 |
DOIs | |
Publication status | Published - 26 Oct 2015 |
Event | 16th IEEE International Conference on Information Reuse and Integration, IRI 2015 - San Francisco, United States Duration: 13 Aug 2015 → 15 Aug 2015 |
Conference
Conference | 16th IEEE International Conference on Information Reuse and Integration, IRI 2015 |
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Country/Territory | United States |
City | San Francisco |
Period | 13/08/15 → 15/08/15 |
Keywords
- Ontology learning
- Search Engine ranking
- Semantic Search