[1]
Stroulia, E. and Y. Wang, Structural and semantic matching for assessing web-service similarity. International Journal of Cooperative Information Systems, 2005. 14: pp.407-437.
DOI: 10.1142/s0218843005001213
Google Scholar
[2]
Paolucci, M., et al., Semantic Matching of Web Services Capabilities, in The Semantic Web — ISWC 2002. 2002, Springer Berlin / Heidelberg. pp.333-347.
DOI: 10.1007/3-540-48005-6_26
Google Scholar
[3]
Luo, A., et al. Multi-level Semantic matching of Geospatial Web Services. in The International Conference On Geoinformatics. 2009. pp.1-5.
DOI: 10.1109/geoinformatics.2009.5293450
Google Scholar
[4]
Namgoong, H., et al. Effective semantic Web services discovery using usability. in Advanced Communication Technology, ICACT The Th International. 2006. pp.2199-2203.
DOI: 10.1109/icact.2006.206435
Google Scholar
[5]
Jiang, Z., et al. Dynamic Description Logic Based Services Semantic Matching. 2008. pp.229-234.
Google Scholar
[6]
G U Nay, A. and P. Yolum. Structural and semantic similarity metrics for web service matchmaking. in EC-Web'07. 2007. Berlin, Heidelberg: Springer-Verlag. pp.129-138.
DOI: 10.1007/978-3-540-74563-1_13
Google Scholar
[7]
Ehrig, M., A. Koschmider and A. Oberweis. Measuring similarity between semantic business process models. in APCCM '07. 2007. Darlinghurst, Australia: Australian Computer Society, Inc. pp.71-80.
Google Scholar
[8]
Sycara, K., et al., Automated discovery, interaction and composition of Semantic Web services. Web Semantics: Science, Services and Agents on the World Wide Web, 2003. 1(1): pp.27-46.
DOI: 10.1016/j.websem.2003.07.002
Google Scholar
[9]
Bunke, H., On a relation between graph edit distance and maximum common subgraph. Pattern Recognition Letters, 1997. 18(8): pp.689-694.
DOI: 10.1016/s0167-8655(97)00060-3
Google Scholar