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Rule-based Programming of User Agents for Linked Data

Käfer, Tobias; Harth, Andreas

Abstract:
While current Semantic Web languages and technologies are well-suited for accessing and integrating static data, methods and technologies for the handling of dynamic aspects – required in many modern web environments – are largely missing. We propose to use Abstract State Machines (ASMs) as the formal basis for dealing with changes in Linked Data, which is the combination of the Resource Description Framework (RDF) with the Hypertext Transfer Protocol (HTTP). We provide a synthesis of ASMs and Linked Data and show how the combination aligns with the relevant specifications such as the Request/Response communication in HTTP, the guidelines for updating resource state in the Linked Data Platform (LDP) specification, and the formal grounding of RDF in model theory. Based on the formalisation of Linked Data resources that change state over time, we present the syntax and operational semantics of a small rule-based language to specify user agents that use HTTP to interact with Linked Data as the interface to the environment. We show the feasibility of the approach in an evaluation involving the specification of automation in a Smart Building scenario, where the presented approach serves as a theoretical foundation.

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Verlagsausgabe §
DOI: 10.5445/IR/1000092987
Veröffentlicht am 15.05.2019
Coverbild
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092987
Erschienen in Proceedings of the 11th International Workshop on Linked Data on the Web at the Web Conference (27th WWW), LDOW 2018, Workshop on Linked Data on the Web, co-located with The Web Conference 2018 (TheWebConf 2018) , Lyon, France, April 23rd, 2018. Ed.: T. Berners-Lee
Verlag RWTH, Aachen
Serie CEUR workshop proceedings ; 2073
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