Abstract
The Web has evolved from a network of linked documents to one where both documents and data are linked, resulting in what is commonly known as the Web of Linked Data, that includes a large variety of data usually published in RDF from multiple domains. Intuitive ways of accessing RDF data become increasingly important since the standard approach would be to run SPARQL queries. However, this can be extremely difficult for non-experts users. In this paper, we address the problem of question answering over RDF. Given a natural language question or a keyword search string, our goal is to translate it into a formal query as SPARQL that captures the information needed. We propose Von-QBE which is a schema-based approach to query over RDF data without any previous knowledge about the ontology entities and schema. This is different from the-state-of-art since the approaches are instance-based. However, it can be unfeasible using such approaches in big data scenarios where the ontology base is huge and demands a large amount of computational resource to keep the knowledge base in memory. Moreover, most of these solutions need the knowledge base triplified, which can be a hard task for legacy bases. Von-QBE results are promising for the two real benchmarks evaluated, considering that only the ontology schema is used to generate SPARQL queries.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
References
Arnaout, H., Elbassuoni, S.: Effective searching of RDF knowledge graphs. J. Web Semant. 48, 66–84 (2018)
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76298-0_52
Calvanese, D., et al.: Ontop: answering SPARQL queries over relational databases. Semant. Web 8(3), 471–487 (2017)
World Wide Web Consortium, et al.: RDF 1.1 concepts and abstract syntax
Kompella, V.P., Pasquale, J.C., Polyzos, G.C.: Multicast routing for multimedia communication. IEEE/ACM Trans. Netw. (TON) 1(3), 286–292 (1993)
Prim, R.C.: Shortest connection networks and some generalizations. Bell Labs Tech. J. 36(6), 1389–1401 (1957)
Soylu, A., Kharlamov, E., Zheleznyakov, D., Jimenez-Ruiz, E., Giese, M., Horrocks, I.: OptiqueVQS: ontology-based visual querying. In: VOILA@ ISWC, p. 91 (2015)
Unger, C., Bühmann, L., Lehmann, J., Ngonga Ngomo, A.-C., Gerber, D., Cimiano, P.: Template-based question answering over RDF data. In: Proceedings of the 21st International Conference on World Wide Web (2012), pp. 639–648. ACM (2012)
Usbeck, R., Ngomo, A.-C.N., Bühmann, L., Unger, C.: HAWK – hybrid question answering using linked data. In: Gandon, F., Sabou, M., Sack, H., d’Amato, C., Cudré-Mauroux, P., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9088, pp. 353–368. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18818-8_22
Winkler, W.E.: The state of record linkage and current research problems. Statistical Research Division, US Census Bureau, Citeseer (1999)
Xu, K., Zhang, S., Feng, Y., Zhao, D.: Answering natural language questions via phrasal semantic parsing. In: Zong, C., Nie, J.Y., Zhao, D., Feng, Y. (eds.) Natural Language Processing and Chinese Computing. CCIS, vol. 496, pp. 333–344. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45924-9_30
Yahya, M., Berberich, K., Elbassuoni, S., Ramanath, M., Tresp, V., Weikum, G.: Natural language questions for the web of data. In: Proceedings of the 2012 Joint Conference on EMNLP and CoNLL, pp. 379–390. Association for Computational Linguistics (2012)
Yih, S.W.-T., Chang, M.-W., He, X., Gao, J.: Semantic parsing via staged query graph generation: question answering with knowledge base
Acknowledgements
This work has been supported by FUNCAP SPU 8789771/2017 research project.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Peres, L., L. Coelho da Silva, T., Macedo, J., Araujo, D. (2019). Ontology-Schema Based Query by Example. In: Laender, A., Pernici, B., Lim, EP., de Oliveira, J. (eds) Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11788. Springer, Cham. https://doi.org/10.1007/978-3-030-33223-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-33223-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33222-8
Online ISBN: 978-3-030-33223-5
eBook Packages: Computer ScienceComputer Science (R0)