Data-Driven Workflows for Specifying and Executing Agents in an Environment of Reasoning and RESTful Systems

Jochum, Benjamin; Nürnberg, Leonard; Aßfalg, Nico; Käfer, Tobias

doi:10.1007/978-3-030-37453-2_9

Cited by 4 publications

(2 citation statements)

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“…Besides encoding knowledge in a graph, RDF is the basis for a set of Knowledge Representation technologies including the languages RDFS 21 and OWL 22 to express ontologies. By and large, RDFS is less expressive than most members of the OWL family, which comes with computational benefits [19].…”

Section: Ontologies Reasoning and Rulesmentioning

confidence: 99%

“…In [22], we described a previous version of this paper, which we presented at the 3rd International Workshop in Artificial Intelligence for Business Process Management (AI4BPM) at the 17th International Conference on Business Process Management (BPM). In this paper, we extended aforementioned work by providing a description on how we process queries with a theoretical insight into the required rule language, an extended formal evaluation from which we derive modelling requirements, a performance evaluation, updates to the operational semantics, and an extended discussion of related work.…”

Section: Introductionmentioning

confidence: 99%

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Specifying and Executing User Agents in an Environment of Reasoning and RESTful Systems Using the Guard-Stage-Milestone Approach

et al. 2021

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For Read-Write Linked Data, an environment of reasoning and RESTful interaction, we investigate the use of the Guard-Stage-Milestone approach for specifying and executing user agents. We present an ontology to specify user agents. Moreover, we give operational semantics to the ontology in a rule language that allows for executing user agents on Read-Write Linked Data. We evaluate our approach formally and regarding performance. Our work shows that despite different assumptions of this environment in contrast to the traditional environment of workflow management systems, the Guard-Stage-Milestone approach can be transferred and successfully applied on the web of Read-Write Linked Data.

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Section: Ontologies Reasoning and Rulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%