Matching Mechanism of Web Service Based on Hybrid Semantic Similarity Computation

2016 ◽  
Vol 9 (8) ◽  
pp. 223-232
Author(s):  
Peng Li
Keyword(s):  
Web Service ◽  
Semantic Similarity ◽  
Matching Mechanism ◽  
Similarity Computation

scholarly journals An weighted ontology-based semantic similarity algorithm for web service

2009 ◽  
Vol 36 (10) ◽  
pp. 12480-12490 ◽  
Author(s):  
Min Liu ◽  
Weiming Shen ◽  
Qi Hao ◽  
Junwei Yan
Keyword(s):  
Web Service ◽  
Semantic Similarity ◽  
Similarity Algorithm

Discovering Homogenous Service Framework Based on Matching Mechanism and Clustering

2011 ◽  
Vol 341-342 ◽  
pp. 462-466
Author(s):  
Meng Wang ◽  
Shu Yu Li
Keyword(s):  
Web Services ◽  
Web Service ◽  
Search Engine ◽  
Search Space ◽  
Research Direction ◽  
The Internet ◽  
Ongoing Research ◽  
Service Community ◽  
Matching Mechanism ◽  
Service Framework

How to efficiently select Web services that can best meet the requirements of consumers is an ongoing research direction in Web service community. However, current discovery systems support either WSDL or OWL-S Web services but not both.Through the automatically collected WSDL files and the OWL-S web service related matching mechanism, the idea of transforming various existing web services on the Internet into a service cluster of similar homogeneous , then we can create a service search engine successfully and at the same time the search space can be reduced. By means of providing a mechanism for matching the characteristics properties of relevant web services, we can put them all together into a group which can be found and applied.

Wikipedia-based information content and semantic similarity computation

2017 ◽  
Vol 53 (1) ◽  
pp. 248-265 ◽  
Author(s):  
Yuncheng Jiang ◽  
Wen Bai ◽  
Xiaopei Zhang ◽  
Jiaojiao Hu
Keyword(s):  
Information Content ◽  
Semantic Similarity ◽  
Similarity Computation

Semantic Similarity Computation Based on Multi-Features Fusion

2015 ◽  
Vol 8 (5) ◽  
pp. 31-40
Author(s):  
Bo Ma ◽  
Yating Yang ◽  
Fan Zhao ◽  
Rui Dong ◽  
Xi Zhou
Keyword(s):  
Semantic Similarity ◽  
Features Fusion ◽  
Similarity Computation

SDMM Based Ranking Mechanism for Semantic Web Services Search

2013 ◽  
Vol 373-375 ◽  
pp. 1853-1858
Author(s):  
Zhi Hao Zeng ◽  
Fu Lu Guo ◽  
Qi Sun
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Three Dimensional ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Semantic Similarity Measure ◽  
Ranking Mechanism

For search of semantic Web services, a semantic Web services matching results ranking mechanism based on SDMM (semantic distance metric model) is proposed. The calculation of semantic similarity measure can be realized by using this three-dimensional SDMM which is for presenting the semantic relationship of objects defined in ontology, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on SDMM significantly improves search accuracy of semantic Web service matchmaking, and enhance users experience of semantic Web services search. By a set of experiments, we demonstrate the benefits and effectiveness of our approach.

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