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Self-service ad-hoc querying using controlled natural language

  • University of Latvia

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

6 Citations (Scopus)

Abstract

The ad-hoc querying process is slow and error prone due to inability of business experts of accessing data directly without involving IT experts. The problem lies in complexity of means used to query data. We propose a new natural language-and semistar ontology-based ad-hoc querying approach which lowers the steep learning curve required to be able to query data. The proposed approach would significantly shorten the time needed to master the ad-hoc querying and to gain the direct access to data by business experts, thus facilitating the decision making process in enterprises, government institutions and other organizations.

Original languageEnglish
Title of host publicationDatabases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings
EditorsGuntis Arnicans, Vineta Arnicane, Juris Borzovs, Laila Niedrite
PublisherSpringer Verlag
Pages18-34
Number of pages17
ISBN (Print)9783319401799
DOIs
Publication statusPublished - 2016
Event12th International Baltic Conference on Databases and Information Systems, DB and IS 2016 - Riga, Latvia
Duration: 4 Jul 20166 Jul 2016

Publication series

NameCommunications in Computer and Information Science
Volume615
ISSN (Print)1865-0929

Conference

Conference12th International Baltic Conference on Databases and Information Systems, DB and IS 2016
Country/TerritoryLatvia
CityRiga
Period4/07/166/07/16

Keywords

  • Ad-hoc querying
  • Controlled natural language
  • Hierarchical data
  • Star ontologies

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