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Using Natural Language to Search Linked Data

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Semantic Keyword-Based Search on Structured Data Sources (IKC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10151))

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Abstract

There are many endeavors aiming to offer users more effective ways of getting relevant information from web. One of them is represented by a concept of Linked Data, which provides interconnected data sources. But querying these types of data is difficult not only for the conventional web users but also for experts in this field. Therefore, a more comfortable way of user query would be of great value. One direction could be to allow the user to use a natural language. To make this task easier we have proposed a method for translating natural language query to SPARQL query. It is based on a sentence structure - utilizing dependencies between the words in user queries. Dependencies are used to map the query to the semantic web structure, which is in the next step translated to SPARQL query. According to our first experiments we are able to answer a significant group of user queries.

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Notes

  1. 1.

    Semantic Web - http://www.w3.org/standards/semanticweb/.

  2. 2.

    Linked Data - http://linkeddata.org/.

  3. 3.

    Yago - https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/.

  4. 4.

    DBpedia - http://wiki.dbpedia.org/.

  5. 5.

    Freebase - https://www.freebase.com/.

  6. 6.

    SPARQL Protocol and RDF Query Language - http://www.w3.org/TR/rdf-sparqlquery/.

  7. 7.

    Stanford Parser - http://nlp.stanford.edu/software/lex-parser.shtml.

  8. 8.

    WordNet - https://wordnet.princeton.edu/.

  9. 9.

    Wikipedia - https://www.wikipedia.org/.

References

  1. Androutsopoulosa I., Ritchiea G. D., Thanischa P.: Natural language interfaces to databases – an introduction. In: Natural Language Engineering, (1995), pp. 21–81

    Google Scholar 

  2. Bernstein, A., Kaufmann, E., Kaiser, C.: Querying the semantic web with ginseng: a guided input natural language search engine. In: 15th Workshop on Information Technologies and Systems, pp. 112–126 (2005)

    Google Scholar 

  3. Hakkani-Tur, D., Celikyilmaz, A., Heck, L., Tur, G., Zweig, G.: Probabilistic enrichment of knowledge graph entities for relation detection in conversational understanding. In: Proceedings of Interspeech. ISCA - International Speech Communication Association, ISCA, pp. 14–18 (2014)

    Google Scholar 

  4. Cabrio, E., Cojan, J., Aprosio, A.P., Magnini, B., Lavelli, A., Gandon, F.: Qakis: an open domain QA system based on relational patterns. In: 11th International Semantic Web Conference ISWC 2012 (Posters & Demos) (2012)

    Google Scholar 

  5. Damljanovic, D., Agatonovic, M., Cunningham, H.: FREyA: an interactive way of querying linked Data using natural language. In: García-Castro, R., Fensel, D., Antoniou, G. (eds.) ESWC 2011. LNCS, vol. 7117, pp. 125–138. Springer, Heidelberg (2012). doi:10.1007/978-3-642-25953-1_11

    Chapter  Google Scholar 

  6. Ferrucci, D., Brown, E., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A.A., Lally, A., Murdock, J.W., Nyberg, E., Prager, J., et al.: Building Watson: an overview of the DeepQA project. AI Mag. 31, 59–79 (2010)

    Google Scholar 

  7. Furas, G., et al.: The vocabulary problem in human-system communication. Commun. ACM 30, 964–971 (1987)

    Google Scholar 

  8. Jarrar, M., Dikaiakos, M.D.: MashQL: a query-by-diagram topping SPARQL. In: Proceedings of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, pp. 89–96. ACM (2008)

    Google Scholar 

  9. Kaufmann, E., Bernstein A., Zumstein, R.: Querix: a natural language interface to query ontologies based on clarification dialogs. In: 5th International Semantic Web Conference, pp. 217–233. Springer (2013)

    Google Scholar 

  10. Ramachandran, V., Krishnamurthi, I.: NLION: Natural Language Interface for querying ONtologies. In: COMPUTE 2009, pp. 17:1–17:4. ACM (2009)

    Google Scholar 

  11. Rico, M., Unger, C., Cimiano, P.: Sorry, I only speak natural language: a pattern-based, data-driven and guided approach to mapping natural language queries to SPARQL. In: Proceedings of the 4th International Workshop on Intelligent Exploration of Semantic Data co-located with the 14th ISWC 2015 (2015)

    Google Scholar 

  12. Tennant, H., Ross, K., Thompson, C.: Usable natural language interfaces through menu-based natural language understanding. In: SIGCHI Conference on Human Factors in Computing Systems, pp. 154–160. ACM (1983)

    Google Scholar 

  13. Unger, C., Freitas, A., Cimiano, P.: An introduction to question answering over linked data. In: Koubarakis, M., Stamou, G., Stoilos, G., Horrocks, I., Kolaitis, P., Lausen, G., Weikum, G. (eds.) Reasoning Web 2014. LNCS, vol. 8714, pp. 100–140. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10587-1_2

    Chapter  Google Scholar 

  14. Valencia-García, R., et al.: OWLPath: an OWL ontology-guided query editor. IEEE Trans. Syst. Man Cybern. 41, 121–136 (2011). IEEE

    Google Scholar 

  15. Wang, C., Xiong, M., Zhou, Q., Yu, Y.: PANTO: a portable natural language interface to ontologies. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 473–487. Springer, Heidelberg (2007). doi:10.1007/978-3-540-72667-8_34

    Chapter  Google Scholar 

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Authors and Affiliations

  1. Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Bratislava, Slovakia

    Viera Rozinajová & Peter Macko

Authors
  1. Viera Rozinajová
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  2. Peter Macko
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Corresponding author

Correspondence to Peter Macko .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Systems, Birkbeck University of London, London, UK

    Andrea Calì

  2. Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Dorian Gorgan

  3. Computer and Decision Engineering (CoDE) Department, Université Libre de Bruxelles, Brussels, Belgium

    Martín Ugarte

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Rozinajová, V., Macko, P. (2017). Using Natural Language to Search Linked Data. In: Calì, A., Gorgan, D., Ugarte, M. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2016. Lecture Notes in Computer Science(), vol 10151. Springer, Cham. https://doi.org/10.1007/978-3-319-53640-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-53640-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53639-2

  • Online ISBN: 978-3-319-53640-8

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