BudayaKB: Extraction of cultural heritage entities from heterogeneous formats

Hadi Syah Putra, Rahmad Mahendra, Fariz Darari

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

3 Citations (Scopus)

Abstract

Cultural heritage is the root of national identities, and contributes to tourism, economics, industry, and business. Digital preservation of cultural heritage is therefore crucial, particularly in a form that is easily processable by machines. Available cultural heritage information on Web sources (e.g., Wikipedia) is presented in multiple formats, such as free-form text, lists, and tables. Such formats, however, lack structures and links to other information sources. The provision of cultural heritage information as a knowledge base, that is both structured and linked, would pave new ways for consuming such information. In this paper, we propose an approach to extract entities of cultural heritage from diverse formats (i.e., text, lists, and tables), and to construct a knowledge base of cultural heritage entities, called BudayaKB, using RDF data model that provides an integrated, format-independent view. Our extraction approach follows on the observation that cultural heritage entities are often written down either with common noun descriptors (e.g., Jiwa temple) or hypernym-hyponym sentence patterns (e.g.,... Acehnese traditional weapons such as Rencong...). We evaluate our approach to Indonesian Wikipedia, and achieve a precision of 84% for extracting Indonesian cultural heritage entities. The extracted entities are then imported and linked to the Wikidata KB, allowing greater interoperability of cultural heritage information. BudayaKB is openly available at https://budayakb.cs.ui.ac.id/.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450361903
DOIs
Publication statusPublished - 26 Jun 2019
Event9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019 - Seoul, Korea, Republic of
Duration: 26 Jun 201928 Jun 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019
Country/TerritoryKorea, Republic of
CitySeoul
Period26/06/1928/06/19

Keywords

  • Cultural heritage
  • Entity extraction
  • Knowledge base

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