Partial DRS, an Intermediate Representation, to Generate SPARQL Queries from NL Questions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A29XTJXRX" target="_blank" >RIV/00216208:11320/25:29XTJXRX - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206220858&doi=10.1007%2f978-3-031-72440-4_9&partnerID=40&md5=ac3d5b8dad4b50d8be0c8e7025726888" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206220858&doi=10.1007%2f978-3-031-72440-4_9&partnerID=40&md5=ac3d5b8dad4b50d8be0c8e7025726888</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-72440-4_9" target="_blank" >10.1007/978-3-031-72440-4_9</a>

Result language

angličtina

Original language name

Partial DRS, an Intermediate Representation, to Generate SPARQL Queries from NL Questions

Original language description

This paper presents a tool to build an intermediate representation, Partial DRS, a Language-Independent Partial Discourse Representation Structure (DRS), that can be used to generate SPARQL queries from Natural Language (NL) Questions. The Partial DRS builder consists of two main steps: creating a Universal Dependencies (UD) parse and transforming the UD parse using a set of rules into a graph with discourse referents as edges and syntactic roles as arcs labels. The Partial DRS of a natural language sentence can be interpreted within a target application domain modelled as a domain ontology, enabling the semantic interpretation of the syntactic roles represented by the graph arc labels. The domain ontology uses the annotations on Object and Data Properties, and Classes to represent natural language and domain-dependent information. These annotations include syntactic role preferences and vocabulary. An evaluation of the proposed system is presented, showing very promising results in the specific DBLP domain. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Czech name

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Czech description

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Type

D - Article in proceedings

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)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Lect. Notes Comput. Sci.

ISBN

978-303172439-8

ISSN

0302-9743

e-ISSN

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Number of pages

11

Pages from-to

95-105

Publisher name

Springer Science and Business Media Deutschland GmbH

Place of publication

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Event location

Ljubljana

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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