Applying intelligent agents and semantic web services in eGovernment environments

Abstract

The increasing volume of eGovernment-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 eGovernment service integration and discovery, thus tackling the problems of semantic heterogeneity characterizing eGovernment information sources and the different levels of interoperability. eGovernment 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 eGovernment services has been tested.

Graph-Based Semantic Web Service Composition for Healthcare Data Integration

“…The work of Talantikite et al [ 32 ] developed a model of semantic annotation for WS discovery and composition using the ontology-based similarity measurement between concepts. The work of García-Sánchez [ 33 ] proposed an agent-based framework for service integration and interoperability in an e-Government domain, in which the discovery agent is represented for matchmaking and composing services through the SWS and ontology concepts mapping. Another work was proposed by Bansal et al [ 34 ], who presented a generalized semantics-based technique for automatic service composition.…”

SAaaS: a cloud computing service model using semantic‐based agent

“…Some studies (Yang, , Michal Laclavik, , Maricela Claudia Bravo Contreras, , Spinelli and Basharat, , Garcı´a‐Sa´nchez et al ., , Erdur and Seylan, ) have integrated the Semantic Web into multi‐agent systems. However, the systems do not address the issue of how semantic‐based agents can cope with the intelligence effects of cloud computing.…”