Clustering-based Taxonomy Construction for Semantic Web Services
Publish place: 12th Annual Conference of Computer Society of Iran
Publish Year: 1385
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ACCSI12_165
تاریخ نمایه سازی: 23 دی 1386
Abstract:
Taxonomy construction for web service has several benefits. Its main benefit it that it reduces the amount of time needed for discovering services. In this paper, we propose an algorithm for semi-automatically creation of service taxonomies from services registered in some registries . this algorithm is based on agglomerative clustering of services and most of the steps of the algorithm are done automatically . in fact, assignment of names to the algorithm. We implemented our only semi-automatic part of the algorithm . we implemented our method and the experimental results of applying it on a sample test collection show the effectiveness of the idea.
Authors
Mahmood Neshati
Semnantic Web Research Laboratory, Computer Engineering Department Sharif University of Technology , Tehran, Iran
Yaseser Ganjisaffar
Semnantic Web Research Laboratory, Computer Engineering Department Sharif University of Technology , Tehran, Iran
Hassan Abolhassani
Semnantic Web Research Laboratory, Computer Engineering Department Sharif University of Technology , Tehran, Iran