Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language

Ngonga Ngomo A-C, Bühmann L, Unger C, Lehmann J, Gerber D (2013)
Presented at the WWW'13: 22nd International World Wide Web Conference.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Download
OA
Autor*in
Ngonga Ngomo, Axel-Cyrille; Bühmann, Lorenz; Unger, ChristinaUniBi ; Lehmann, Jens; Gerber, Daniel
Abstract / Bemerkung
Over the past years, Semantic Web and Linked Data technologies have reached the backend of a considerable number of applications. Consequently, large amounts of RDF data are constantly being made available across the planet. While experts can easily gather information from this wealth of data by using the W3C standard query language SPARQL, most lay users lack the expertise necessary to proficiently interact with these applications. Consequently, non-expert users usually have to rely on forms, query builders, question answering or keyword search tools to access RDF data. However, these tools have so far been unable to explicate the queries they generate to lay users, making it difficult for these users to i) assess the correctness of the query generated out of their input, and ii) to adapt their queries or iii) to choose in an informed manner between possible interpretations of their input. This paper addresses this drawback by presenting SPARQL2NL, a generic approach that allows verbalizing SPARQL queries, i.e., converting them into natural language. Our framework can be integrated into applications where lay users are required to understand SPARQL or to generate SPARQL queries in a direct (forms, query builders) or an indirect (keyword search, question answering) manner. We evaluate our approach on the DBpedia question set provided by QALD-2 within a survey setting with both SPARQL experts and lay users. The results of the 115 filled surveys show that SPARQL2NL can generate complete and easily understandable natural language descriptions. In addition, our results suggest that even SPARQL experts can process the natural language representation of SPARQL queries computed by our approach more efficiently than the corresponding SPARQL queries. Moreover, non-experts are enabled to reliably understand the content of SPARQL queries.
Stichworte
query verbalization; SPARQL; natural language generation
Erscheinungsjahr
2013
Konferenz
WWW'13: 22nd International World Wide Web Conference
Page URI
https://pub.uni-bielefeld.de/record/2584976

Zitieren

Ngonga Ngomo A-C, Bühmann L, Unger C, Lehmann J, Gerber D. Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language. Presented at the WWW'13: 22nd International World Wide Web Conference.
Ngonga Ngomo, A. - C., Bühmann, L., Unger, C., Lehmann, J., & Gerber, D. (2013). Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language. Presented at the WWW'13: 22nd International World Wide Web Conference.
Ngonga Ngomo, Axel-Cyrille, Bühmann, Lorenz, Unger, Christina, Lehmann, Jens, and Gerber, Daniel. 2013. “Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language”. Presented at the WWW'13: 22nd International World Wide Web Conference .
Ngonga Ngomo, A. - C., Bühmann, L., Unger, C., Lehmann, J., and Gerber, D. (2013).“Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language”. Presented at the WWW'13: 22nd International World Wide Web Conference.
Ngonga Ngomo, A.-C., et al., 2013. Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language. Presented at the WWW'13: 22nd International World Wide Web Conference
A.-C. Ngonga Ngomo, et al., “Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language”, Presented at the WWW'13: 22nd International World Wide Web Conference, 2013.
Ngonga Ngomo, A.-C., Bühmann, L., Unger, C., Lehmann, J., Gerber, D.: Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language. Presented at the WWW'13: 22nd International World Wide Web Conference (2013).
Ngonga Ngomo, Axel-Cyrille, Bühmann, Lorenz, Unger, Christina, Lehmann, Jens, and Gerber, Daniel. “Sorry, I don't speak SPARQL – Translating SPARQL Queries into Natural Language”. Presented at the WWW'13: 22nd International World Wide Web Conference, 2013.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
Dieses Objekt ist durch das Urheberrecht und/oder verwandte Schutzrechte geschützt. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:14Z
MD5 Prüfsumme
3000a23affaa4b64fcfb5fc71303aa65


Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar