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Abstract. BPEL4WS is a well-established business process standard that can be used to orchestrate service-based workflows. However, the rapid growth and automation demands of e-business and grid applications require BPEL4WS to provide enhanced semantic annotations to achieve the goal of business processes automation. Here, OWL-S (OWL for Web Services) is designed to represent such kind of semantic information. Furthermore, there exists a similarity in the conceptual model of OWL-S and BPEL4WS that can be employed to overcome the lack of semantics in BPEL4WS by mapping the BPEL4WS process model to the OWL-S suite of ontologies. The mapped OWL-S service can be used to increase flexibility and to automate BPEL based grid scenarios even further. This is achieved by dynamic discovery, composition and invocation of OWL-S services, for example within e-business and grid environments. Hence, the aim of this paper is to establish a mapping from the BPEL process model to the complete OWL-S suite of ontologies. We present a mapping strategy and a tool supporting this strategy. This allows the semantic annotation of workflows defined as BPEL4WS processes to enable the automation of a variety of e-business tasks.

Business applications are more and more often developed on the basis of Web services. The aim is to provide platform independence and loose coupling between business applications to facilitate distributed and grid computing scenarios. However, most efforts to deploy and publish Web services are manual. Manual discovery, invocation and composition of Web services in a distributed computing environment significantly hamper the automatic process of enterprise application integration. Semantic enhancements in Web services aim at making the process of Web services discovery, invocation and composition dynamic by exposing the machine understandable description of Web service capabilities and Web service requests. In this paper we compare recent dynamic Web service composition approaches. We highlight some dynamic composition issues and compare existing approaches with respect to these issues. Based on these findings we present a new and generic semantic Web services integration and composition lifecycle tofacilitate the semantic based integration and composition of Grid services. The proposed semantic Web services integration and composition life cycle explains the necessary integration phases beginning with the modeling and developing of processes as Web service composition and ending with their execution. With this lifecycle, integration hurdles among diferent service composition approaches will be diminished. Disciplines Physical Sciences and Mathematics

Purpose Citation analysis is an important measure for the assessment of quality and impact of academic entities (authors, papers and publication venues) used for ranking of research articles, authors and publication venues. It is a common observation that high-level publication venues, with few exceptions (Nature, Science and PLOS ONE), are usually topic specific. The purpose of this paper is to investigate the claim correlation analysis between topic specificity and citation count of different types of publication venues (journals, conferences and workshops). Design/methodology/approach The topic specificity was calculated using the information theoretic measure of entropy (which tells us about the disorder of the system). The authors computed the entropy of the titles of the papers published in each venue type to investigate their topic specificity. Findings It was observed that venues usually with higher citations (high-level publication venues) have low entropy and venues with lesser citations (not-high-level publication venues) have high entropy. Low entropy means less disorder and more specific to topic and vice versa. The input data considered here were DBLP-V7 data set for the last 10 years. Experimental analysis shows that topic specificity and citation count of publication venues are negatively correlated to each other. Originality/value This paper is the first attempt to discover correlation between topic sensitivity and citation counts of publication venues. It also used topic specificity as a feature to rank academic entities.