Closing the Service Discovery Gap by CollaborativeTagging and Clustering Techniques

2nd International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web

计算机科学;图书情报档案学

Alberto Fernandez ; Conor Hayes ; Nikos Loutas ; Vassilios Peristeras ; Axel Polleres ; Konstantinos Tarabanis

Others  :  http://CEUR-WS.org/Vol-416/paper8.pdf
PID  :  25017

来源: CEUR

【 摘 要 】

Whereas the number of services that are provided online is growing rapidly, current service discovery approaches seem to have problems fulfillingtheir objectives. Existing approaches are hampered by the complexity ofunderlying semantic service models and by the fact that they try to impose atechnical vocabulary to users. This leads to what we call the service discoverygap. In this paper we envision an approach that allows users to query or browseservices using free text tags, thus providing an interface in terms of the users'vocabulary instead of the service’s vocabulary. Unlike simple keyword search,we envision tag clouds associated with services themselves as semanticdescriptions carrying collaborative knowledge about the service that can beclustered hierarchically, forming lightweight “ontologies”. Besides tag-baseddiscovery only describing the service on a global view, we envision refined tagsand refined search/discovery in terms of the concepts that are common to allcurrent semantic service description models, i.e. input, output, and operation.We argue that Service matching can be achieved, by applying tag-cloud-basedservice similarity on the one hand and by clustering services using case basedindexing and retrieval techniques on the other hand.