Discovery of Heterogeneous Services
This event took place on Monday 13 June 2011 at 11:30
Alberto Fernandez Universidad Rey Juan Carlos, Madrid, Spain
The talk will deal with the problem of service discovery in open systems. Different service description languages are considered and integrated into a unified framework, which allows specifying advertisements and queries in any of those languages. Those models include semantic models (OWL-S, WSMO), syntactic (WSDL), hybrid (SAWSDL), as well as other lighter approaches (keyword-, cloud-, and text-based service descriptions). Service descriptions are mapped into a unified common model.We do not only consider explicit information specified in structured service descriptions, but we enrich descriptions with additional information extracted using text processing.Then, we will focus on the service matchmaking process. The proposed method combines classical logic-based semantic service matchmaking approaches with concept similarity measures.
This event took place on Monday 13 June 2011 at 11:30
Alberto Fernandez Universidad Rey Juan Carlos, Madrid, Spain
The talk will deal with the problem of service discovery in open systems. Different service description languages are considered and integrated into a unified framework, which allows specifying advertisements and queries in any of those languages. Those models include semantic models (OWL-S, WSMO), syntactic (WSDL), hybrid (SAWSDL), as well as other lighter approaches (keyword-, cloud-, and text-based service descriptions). Service descriptions are mapped into a unified common model.We do not only consider explicit information specified in structured service descriptions, but we enrich descriptions with additional information extracted using text processing.Then, we will focus on the service matchmaking process. The proposed method combines classical logic-based semantic service matchmaking approaches with concept similarity measures.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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