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pro vyhledávání: '"David Šenkýř"'
Publikováno v:
Journal of intelligent information systems
Functional requirements on a software system are traditionally captured as text that describes the expected functionality in the domain of a real-world system. Natural language processing methods allow us to extract the knowledge from such requiremen
Autor:
David Šenkýř, Petr Kroha
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783030790219
CAiSE Workshops
CAiSE Workshops
In this paper, we describe our graph-oriented method used to find semantically similar sentences in external information sources that have a semantic enrichment potential in relation to sentences of textual functional requirements specification. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70dd2a7138392ad6454c892b59a7c9b0
https://doi.org/10.1007/978-3-030-79022-6_7
https://doi.org/10.1007/978-3-030-79022-6_7
Autor:
David Šenkýř
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783030356453
EOMAS@CAiSE
EOMAS@CAiSE
Shapes Constraint Language (SHACL) is the new recommendation by W3C consortium to uniform both describing and constraining the content of an RDF graph. Based on the inspiration of model generation from textual requirements specifications, we investig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92d875244fd3657f5bffce2b359ed250
https://doi.org/10.1007/978-3-030-35646-0_9
https://doi.org/10.1007/978-3-030-35646-0_9
Autor:
Petr Kroha, David Šenkýř
Publikováno v:
ICSOFT
Autor:
Petr Kroha, David Šenkýř
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030161804
WorldCIST (1)
WorldCIST (1)
In this contribution, we investigate the ambiguity problem in textual requirements specifications. We focused on the structural ambiguity and extracted some patterns to indicate this kind of ambiguity. We show that the standard methods of linguistics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2892f06a4cb18bfc16b9f826983391f7
https://doi.org/10.1007/978-3-030-16181-1_83
https://doi.org/10.1007/978-3-030-16181-1_83