Quotation Kirrane, Sabrina. 2021. Intelligent software web agents: A gap analysis. Journal of Web Semantics. 71


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Abstract

Semantic web technologies have shown their effectiveness, especially when it comes to knowledge representation, reasoning, and data integration. However, the original semantic web vision, whereby machine readable web data could be automatically actioned upon by intelligent software web agents, has yet to be realised. In order to better understand the existing technological opportunities and challenges, in this paper we examine the status quo in terms of intelligent software web agents, guided by research with respect to requirements and architectural components, coming from the agents community. We use the identified requirements to both further elaborate on the semantic web agent motivating use case scenario, and to summarise different perspectives on the requirements from the semantic web agent literature. We subsequently propose a hybrid semantic web agent architecture, and use the various components and subcomponents in order to provide a focused discussion in relation to existing semantic web standards and community activities. Finally, we highlight open research opportunities and challenges and take a broader perspective of the research by discussing the potential for intelligent software web agents as an enabling technology for emerging domains, such as digital assistants, cloud computing, and the internet of things.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Web Semantics
Citation Index SCI
WU-Journal-Rating new INF-A
Language English
Title Intelligent software web agents: A gap analysis
Volume 71
Year 2021
Reviewed? Y
URL https://api.elsevier.com/content/article/PII:S1570826821000342?httpAccept=text/xml
DOI http://dx.doi.org/10.1016/j.websem.2021.100659
Open Access Y
Open Access Link https://www.sciencedirect.com/science/article/pii/S1570826821000342?via%3Dihub

Associations

People
Kirrane, Sabrina (Details)
Organization
Institute for Information Systems and New Media IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1138 Information systems (Details)
1146 Management information systems (Details)
5255 Data security and data privacy (Details)
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