TY - GEN
T1 - BudayaKB
T2 - 9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019
AU - Putra, Hadi Syah
AU - Mahendra, Rahmad
AU - Darari, Fariz
N1 - Publisher Copyright:
© 2019 ACM.
PY - 2019/6/26
Y1 - 2019/6/26
N2 - 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/.
AB - 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/.
KW - Cultural heritage
KW - Entity extraction
KW - Knowledge base
UR - http://www.scopus.com/inward/record.url?scp=85117538857&partnerID=8YFLogxK
U2 - 10.1145/3326467.3326487
DO - 10.1145/3326467.3326487
M3 - Conference contribution
AN - SCOPUS:85117538857
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019
PB - Association for Computing Machinery
Y2 - 26 June 2019 through 28 June 2019
ER -