講演抄録/キーワード |
講演名 |
2017-06-02 16:00
Domain Information Measure with Novel Ontology Generation for Web Service Clustering ○Rupasingha Arachchilage Hiruni Madhusha Rupasingha・Incheon Paik(Univ. of Aizu) SC2017-6 |
抄録 |
(和) |
With the growth of the Internet, considerable web services are increasing rapidly in service communities. By reason of that Web service clustering is become a challenging and time consuming task. In this study, we propose a new domain specificity based ontology generation for Web service clustering. Because the specificity of a term describes the amount of domain-specific information contained in that term and it is a main point to improve the domain ontology. New ontology is generated by comparing term specificity values. Generated ontology is used to similarity calculation through new logic-based filters and an agglomerative clustering algorithm used for the clustering. Finally, through a set of experiments deployed on Web service dataset, we validate the feasibility of our approach by outperforms comparable existing approaches. |
(英) |
With the growth of the Internet, considerable web services are increasing rapidly in service communities. By reason of that Web service clustering is become a challenging and time consuming task. In this study, we propose a new domain specificity based ontology generation for Web service clustering. Because the specificity of a term describes the amount of domain-specific information contained in that term and it is a main point to improve the domain ontology. New ontology is generated by comparing term specificity values. Generated ontology is used to similarity calculation through new logic-based filters and an agglomerative clustering algorithm used for the clustering. Finally, through a set of experiments deployed on Web service dataset, we validate the feasibility of our approach by outperforms comparable existing approaches. |
キーワード |
(和) |
Web services / Web service clustering / Term specificity / Ontology learning / Service similarity / Information retrieval / / |
(英) |
Web services / Web service clustering / Term specificity / Ontology learning / Service similarity / Information retrieval / / |
文献情報 |
信学技報, vol. 117, no. 75, SC2017-6, pp. 27-32, 2017年6月. |
資料番号 |
SC2017-6 |
発行日 |
2017-05-26 (SC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SC2017-6 |