Dissertation/ Thesis
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SBVR struktūrizuotos natūralios kalbos klausimų redagavimo įrankis / ; Tool for Editing Questions in SBVR Structured Natural Language.

Bibliographic Details
Title: SBVR struktūrizuotos natūralios kalbos klausimų redagavimo įrankis / ; Tool for Editing Questions in SBVR Structured Natural Language.
Authors: Pocius, Arvydas
Contributors: Nemuraitė, Lina
Publisher Information: Institutional Repository of Kaunas University of Technology
Publication Year: 2013
Collection: KTU ePubl (Kaunas University of Technology / Kauno Technologijos Universitetas)
Subject Terms: SBVR, structured natural language, ontology, query
Description: Ontology query writing for ordinary users too complicated. People mostly like to submit queries in natural language. However, software systems that could understand natural language do not exist yet. A possible solution is to use a limited (structured) natural language, which is formed according to certain patterns. Users having a structured natural language question editor based on SBVR metamodel would be able to analyse ontology data without help of professionals. They could write questions in structured natural language which is understandable for humans and computers. This work is not intended to transform structured questions into SPARQL queries, since it would be too big task. The aim of this work is to identify and formalize textual questions, typed by users, for subsequent generation of XMI schema and transforming them into a SPARQL queries.
Document Type: master thesis
File Description: application/pdf
Language: Lithuanian
Relation: https://epubl.ktu.edu/object/elaba:2110956/2110956.pdf; https://vb.ktu.edu/KTU:ELABAETD2110956&prefLang=en_US
Availability: https://vb.ktu.edu/KTU:ELABAETD2110956&prefLang=en_US
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.B5B6E185
Database: BASE
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PubType: Dissertation/ Thesis
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IllustrationInfo
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  Label: Title
  Group: Ti
  Data: SBVR struktūrizuotos natūralios kalbos klausimų redagavimo įrankis / ; Tool for Editing Questions in SBVR Structured Natural Language.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Pocius%2C+Arvydas%22">Pocius, Arvydas</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: Nemuraitė, Lina
– Name: Publisher
  Label: Publisher Information
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  Data: Institutional Repository of Kaunas University of Technology
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  Label: Publication Year
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  Data: 2013
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  Data: KTU ePubl (Kaunas University of Technology / Kauno Technologijos Universitetas)
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  Data: <searchLink fieldCode="DE" term="%22SBVR%22">SBVR</searchLink><br /><searchLink fieldCode="DE" term="%22structured+natural+language%22">structured natural language</searchLink><br /><searchLink fieldCode="DE" term="%22ontology%22">ontology</searchLink><br /><searchLink fieldCode="DE" term="%22query%22">query</searchLink>
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  Data: Ontology query writing for ordinary users too complicated. People mostly like to submit queries in natural language. However, software systems that could understand natural language do not exist yet. A possible solution is to use a limited (structured) natural language, which is formed according to certain patterns. Users having a structured natural language question editor based on SBVR metamodel would be able to analyse ontology data without help of professionals. They could write questions in structured natural language which is understandable for humans and computers. This work is not intended to transform structured questions into SPARQL queries, since it would be too big task. The aim of this work is to identify and formalize textual questions, typed by users, for subsequent generation of XMI schema and transforming them into a SPARQL queries.
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    Languages:
      – Text: Lithuanian
    Subjects:
      – SubjectFull: SBVR
        Type: general
      – SubjectFull: structured natural language
        Type: general
      – SubjectFull: ontology
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      – SubjectFull: query
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      – TitleFull: SBVR struktūrizuotos natūralios kalbos klausimų redagavimo įrankis / ; Tool for Editing Questions in SBVR Structured Natural Language.
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              Type: published
              Y: 2013
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