Home › Entities › conference_paper › Natural language question answering over RDF

Natural language question answering over RDF

Place conference_paper Q111310070
Press Enter · cited answer in seconds

Natural language question answering over RDF

Summary

Natural language question answering over RDF is a conference paper[1].

Key Facts

  • Natural language question answering over RDF's instance of is recorded as conference paper[2].
  • Natural language question answering over RDF's publisher is recorded as Association for Computing Machinery[3].
  • Natural language question answering over RDF's DOI is recorded as 10.1145/2588555.2610525[4].
  • Natural language question answering over RDF's language of work or name is recorded as English[5].
  • Natural language question answering over RDF's publication date is recorded as +2014-06-18T00:00:00Z[6].
  • Natural language question answering over RDF's official website is recorded as http://dx.doi.org/10.1145/2588555.2610525[7].
  • Natural language question answering over RDF's main subject is recorded as natural language to SPARQL conversion[8].
  • Natural language question answering over RDF's title is recorded as Natural language question answering over RDF[9].
  • Natural language question answering over RDF's author name string is recorded as Lei Zou[10].
  • Natural language question answering over RDF's author name string is recorded as Ruizhe Huang[11].
  • Natural language question answering over RDF's author name string is recorded as Haixun Wang[12].
  • Natural language question answering over RDF's author name string is recorded as Jeffrey Xu Yu[13].
  • Natural language question answering over RDF's author name string is recorded as Wenqiang He[14].
  • Natural language question answering over RDF's author name string is recorded as Dongyan Zhao[15].
  • Natural language question answering over RDF's ORKG ID is recorded as R6294[16].

Body

Designation and Status

Natural language question answering over RDF's instance of is recorded as conference paper[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . Q5188229. Retrieved . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . Q5188229. Retrieved . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . Q5188229. Retrieved . wikidata.org.
  6. [7] ↑ . Q5188229. Retrieved . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . Q5188229. Retrieved . wikidata.org.
  9. [10] ↑ . Q5188229. Retrieved . wikidata.org.
  10. [11] ↑ . Q5188229. Retrieved . wikidata.org.
  11. [12] ↑ . Q5188229. Retrieved . wikidata.org.
  12. [13] ↑ . Q5188229. Retrieved . wikidata.org.
  13. [14] ↑ . Q5188229. Retrieved . wikidata.org.
  14. [15] ↑ . Q5188229. Retrieved . wikidata.org.
  15. [16] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Natural language question answering over RDF. Retrieved May 3, 2026, from https://4ort.xyz/entity/natural-language-question-answering-over-rdf
MLA “Natural language question answering over RDF.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/natural-language-question-answering-over-rdf.
BibTeX @misc{4ortxyz_natural-language-question-answering-over-rdf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Natural language question answering over RDF}}, year = {2026}, url = {https://4ort.xyz/entity/natural-language-question-answering-over-rdf}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Natural language question answering over RDF — https://4ort.xyz/entity/natural-language-question-answering-over-rdf (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/natural-language-question-answering-over-rdf · Last refreshed: