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KI - Künstliche Intelligenz
Erschienen in: KI - Künstliche Intelligenz 3/2020

14.05.2020 | Systems Description

crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks

verfasst von: Germán Braun, Christian Gimenez, Laura Cecchi, Pablo Fillottrani

Erschienen in: KI - Künstliche Intelligenz | Ausgabe 3/2020

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Abstract

We present crowd, a web-based visual tool for ontology engineering tasks. Its aim is to involve ontology developers and domain experts into a collaborative comprehension and design of conceptual models, enhancing the communication between them and assessing their quality by fully integrating automatic reasoning in the tool. In this paper we briefly describe the initial requirements, architecture and user interface, and make an evaluation based on a use case and a comparison with related tools.
Vorheriger Artikel Using Feature-Based Description Logics to avoid Duplicate Elimination in Object-Relational Query Languages
Nächster Artikel Connecting Knowledge to Data Through Transformations in KnowID: System Description

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Metadaten
Titel
crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks
verfasst von
Germán Braun
Christian Gimenez
Laura Cecchi
Pablo Fillottrani
Publikationsdatum
14.05.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
KI - Künstliche Intelligenz / Ausgabe 3/2020
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI
https://doi.org/10.1007/s13218-020-00657-8

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