License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.LDK.2021.19
URN: urn:nbn:de:0030-drops-145556
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14555/
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Masoud, Maraim ; Pereira, Bianca ; McCrae, John ; Buitelaar, Paul

Automatic Construction of Knowledge Graphs from Text and Structured Data: A Preliminary Literature Review

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OASIcs-LDK-2021-19.pdf (0.6 MB)

Abstract

Knowledge graphs have been shown to be an important data structure for many applications, including chatbot development, data integration, and semantic search. In the enterprise domain, such graphs need to be constructed based on both structured (e.g. databases) and unstructured (e.g. textual) internal data sources; preferentially using automatic approaches due to the costs associated with manual construction of knowledge graphs. However, despite the growing body of research that leverages both structured and textual data sources in the context of automatic knowledge graph construction, the research community has centered on either one type of source or the other. In this paper, we conduct a preliminary literature review to investigate approaches that can be used for the integration of textual and structured data sources in the process of automatic knowledge graph construction. We highlight the solutions currently available for use within enterprises and point areas that would benefit from further research.

BibTeX - Entry

@InProceedings{masoud_et_al:OASIcs.LDK.2021.19,
  author =	{Masoud, Maraim and Pereira, Bianca and McCrae, John and Buitelaar, Paul},
  title =	{{Automatic Construction of Knowledge Graphs from Text and Structured Data: A Preliminary Literature Review}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{19:1--19:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14555},
  URN =		{urn:nbn:de:0030-drops-145556},
  doi =		{10.4230/OASIcs.LDK.2021.19},
  annote =	{Keywords: Knowledge Graph Construction, Enterprise Knowledge Graph}
}

Keywords: Knowledge Graph Construction, Enterprise Knowledge Graph
Collection: 3rd Conference on Language, Data and Knowledge (LDK 2021)
Issue Date: 2021
Date of publication: 30.08.2021

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