Intelligent software web agents: A gap analysis
نویسندگان
چکیده
Semantic web technologies have shown their effectiveness, especially when it comes to knowledge representation, reasoning, and data integration. However, the original semantic vision, whereby machine readable could be automatically actioned upon by intelligent software agents, has yet realised. In order better understand existing technological opportunities challenges, in this paper we examine status quo terms of guided research with respect requirements architectural components, coming from agents community. We use identified both further elaborate on agent motivating case scenario, summarise different perspectives literature. subsequently propose a hybrid architecture, various components subcomponents provide focused discussion relation standards community activities. Finally, highlight open challenges take broader perspective discussing potential for as an enabling technology emerging domains, such digital assistants, cloud computing, internet things.
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ژورنال
عنوان ژورنال: Journal of Web Semantics
سال: 2021
ISSN: ['1570-8268', '1873-7749']
DOI: https://doi.org/10.1016/j.websem.2021.100659