Clustering-based Taxonomy Construction for Semantic Web Services

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