Lokman : tıbbi tabanlı odaklanmış internet gezgini

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Türkiye

Tezin Onay Tarihi: 2005

Tezin Dili: İngilizce

Öğrenci: Altuğ Kyışoğlu

Danışman: NAZİFE BAYKAL

Özet:

Use of ontology is an approach to overcome the أsearch-on-the-netؤ 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%.