Clustering-based Taxonomy Construction for Semantic Web Services
عنوان مقاله: Clustering-based Taxonomy Construction for Semantic Web Services
شناسه ملی مقاله: ACCSI12_165
منتشر شده در دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران در سال 1385
شناسه ملی مقاله: ACCSI12_165
منتشر شده در دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران در سال 1385
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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
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.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/44551/