earticle

영어

Traditional techniques for web service discovery mostly rely on string matching and/or semantic logic-based matching. They are generally developed on service description and functional attributes which are exposed in service advertisement. The selection is made from the result output which is typically presented in order of their ranks based on degree of match of functional or operational parameters. The QoS attributes such as service performance, reliability, reputation, price and user preferences are often ignored in the query. Moreover, it is very difficult for the requester or any software agent to select the best service out of many potential candidates from the search result. This paper proposes a framework that takes into account QoS attributes along with user preferences and devise an algorithm namely Diversified Service Rank (DSR) and re-ranks top k web services in the search result, this helps service requesters in prompt selection and composition of web services.