Translating Natural Language Questions into CIDOC-CRM SPARQL Queries to Access Cultural Heritage Knowledge Bases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AH4NL75SU" target="_blank" >RIV/00216208:11320/26:H4NL75SU - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3715156" target="_blank" >http://dx.doi.org/10.1145/3715156</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3715156" target="_blank" >10.1145/3715156</a>
Alternative languages
Result language
angličtina
Original language name
Translating Natural Language Questions into CIDOC-CRM SPARQL Queries to Access Cultural Heritage Knowledge Bases
Original language description
To explore information on the semantic web, SPARQL queries or DL-queries are suitable tools. However, users interested in exploring the content of such knowledge bases often find it challenging to employ formal query languages, as this requires familiarity with the target domain's representation model. To address these challenges, a question-answering system that automatically translates natural language questions into SPARQL queries, over the Smithsonian American Art Museum CIDOC-CRM representation is presented. The proposed approach uses an ontology, named Query Ontology, defined to represent the natural language concepts and relations specific to the question's domain. This system's architecture uses a traditional natural language processing symbolic approach, with a pipeline of modules for the syntactic, semantic, and pragmatic analysis. An evaluation of the proposed system is presented and shows very promising results. © 2025 Copyright held by the owner/author(s).
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal on Computing and Cultural Heritage
ISSN
1556-4673
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
21
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105009650128