Clustering Services Based on Community Detection in Service Networks

Service-oriented computing has become a promising way to develop software by composing existing services on the Internet. However, with the increasing number of services on the Internet, how to match requirements and services becomes a difficult problem. Service clustering has been regarded as one of the effective ways to improve service matching. Related work shows that structure-related similarity metrics perform better than semantic-related similarity metrics in clustering services. Therefore, it is of great importance to propose much more useful structure-related similarity metrics to improve the performance of service clustering approaches. However, in the existing work, this kind of work is very rare. In this paper, we propose a SCAS (service clustering approach using structural metrics) to group services into different clusters. SCAS proposes a novel metric A2S (atomic service similarity) to characterize the atomic service similarity as a whole, which is a linear combination of C2S (composite-sharing similarity) and A3S (atomic-service-sharing similarity). Then, SCAS applies a guided community detection algorithm to group atomic services into clusters. Experimental results on a real-world data set show that our SCAS performs better than the existing approaches. Our A2S metric is promising in improving the performance of service clustering approaches.

Evolutionary transformation of the journal. Part 6

The article outlines the sixth phase of the development of the journal Studia Historiae Scientiarum (previous name Prace Komisji Historii Nauki PAU / Proceedings of the PAU Commission on the History of Science). The information is provided on the following matters: the journal obtaining the award in the ministerial program “Support for scientific journals 2019–2020” (in April 2019), the evaluation of the magazine in “ICI Master Journal List 2017” (published at the end of 2018) and in “List of journals of the Ministry of Science and Higher Education of the Polish Republic 2019” (published on 31 July 2019), the indexation of the journal in the Scopus database (from September 2019), the implementation of the service Similarity Check (Crossref), the works on updating the journal’s website in OJS (3.1.2.1.), the number of foreign authors and the number of reviewers of the current volume of the journal.

Usage of AI-planning techniques to solve problems of Web-services composition

Automated composition of services described by their process model is difficult but very vital task. Its decision needs strict formalization and strong semantization of a service. Similarity of definitions of intelligent planning tasks and services composition objectives demonstrates the possibility of using AI-planning approaches for resolving Web services composition problems, provided a number of solutions to existing problems. In this article the analysis of task similarity and differences of HTN-planning and composition of Web-services presented by process model is executed. BPEL-services are considered. It is defined main problems that appears when AI-planning methods are used and it is proposed approaches for their resolving by integration DL and HTN-planning. Translation algorithms from BPEL to HTN-DL is also discussed.