Use of ontology is an approach to overcome the &ldquo / search-on-the-net&rdquo / problem. An ontology based web information retrieval system requires a topical web crawler to construct a high quality document collection. This thesis focuses on implementing a topical web crawler with medical domain ontology in order to find out the advantages of ontological information in web crawling. Crawler is implemented with Best-First search algorithm. Design of the crawler is optimized to UMLS ontology. Crawler is tested with Harvest Rate and Target Recall Metrics and compared to a non-ontology based Best-First Crawler. Performed test results proved that ontology use in crawler URL selection algorithm improved the crawler performance by 76%.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12606468/index.pdf |
| Date | 01 September 2005 |
| Creators | Kayisoglu, Altug |
| Contributors | Baykal, Nazife |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
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