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Applying intelligent agents and semantic web services in e G overnment environments
Author(s) -
GarcíaSánchez Francisco,
Sabucedo Luís Álvarez,
MartínezBéjar Rodrigo,
Rifón Luís Anido,
ValenciaGarcía Rafael,
Gómez Juan Miguel
Publication year - 2011
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2011.00586.x
Subject(s) - computer science , interoperation , interoperability , semantic web , semantic interoperability , world wide web , web service , leverage (statistics) , semantic technology , service (business) , social semantic web , knowledge management , economy , machine learning , economics
The increasing volume of e G overnment‐related services is demanding new approaches for service integration and interoperability in this domain. Semantic web ( SW ) technologies and applications can leverage the potential of e G overnment service integration and discovery, thus tackling the problems of semantic heterogeneity characterizing e G overnment information sources and the different levels of interoperability. e G overnment services will therefore be semantically described in the foreseeable future. In an environment with semantically annotated services, software agents are essential as the entities responsible for exploiting the semantic content in order to automate some tasks, and so enhance the user's experience. In this paper, we present a framework that provides a seamless integration of semantic web services and intelligent agents technologies by making use of ontologies to facilitate their interoperation. The proposed framework can assist in the development of powerful and flexible distributed systems in complex, dynamic, heterogeneous, unpredictable and open environments. Our approach is backed up by a proof‐of‐concept implementation, where the breakthrough of integrating disparate e G overnment services has been tested.