Abstract
This chapter presents a novel approach to Semantic Web technologies with the cultural heritage domain as a use case. Semantic Web technologies offer the technological backbone to meet the requirement of integrating heterogeneous data, but they are still more adapted to be consumed by computers rather than by humans. This chapter describes a method that allows interaction with semantic knowledge bases in natural language . The proposed method enables querying a semantic repository in natural language and obtaining results from it as a coherent text. The solution involves a conversion from natural language to SPARQL on one hand and from a set of Resource Description Framework (RDF) triples to coherent natural language descriptions in multiple languages on the other. The conversions are implemented in the Grammatical Framework (GF) . The semantic knowledge infrastructure in RDF is based on OWLIM-SE and the data integration method reason-able view supplied with an ontological reference layer. The latter is connected via formal rules to a semantic representation layer and to a syntactic representation layer using GF. The resulting demonstration is a system that supports querying and text generation in 15 languages.
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Notes
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The $n stands for new line identifier for the back end to post-process.
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The MRV with the described natural language interface is available from http://museum.ontotext.com.
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The semantic data can be also extracted in JSON and XML formats.
References
Androutsopoulos, I., Kallonis, S., & Karkaletsis, V. (2005). Exploiting OWL ontologies in the multilingual generation of object descriptions. In Proceedings of the 10th European Workshop on Natural Language Generation NLG, Aberdeen, UK (pp. 150–155).
Androutsopoulos, I., Kokkinaki, V., Dimitromanolaki, A., Calder, J., Oberl, J., & Not, E. (2001). Generating multilingual personalized descriptions of museum exhibits: The M-PIRO project. In Proceedings of the International Conference on Computer Applications and Quantitative Methods in Archaeology.
Androutsopoulos, I., Oberlander, J., & Karkaletsis, V. (2007). Source authoring for multilingual generation of personalised object descriptions. Natural Language Engineering, 13(3):191–233.
Baader, F., Calvanese, D., McGuinness, D. L., Nardi, D., & Patel-Schneider, P. F. (Eds.). (2003). The description logic handbook: Theory, implementation, and applications. Cambridge: Cambridge University Press.
Bouayad-Agha, N., Casamayor, G., Mille, S., Rospocher, M., Saggion, H., Serafini, L., et al. (2012). From ontology to NL: Generation of multilingual user-oriented environmental reports. In Lecture Notes in Computer Science (Vol. 7337). Springer.
Brickley, D., & Guha, R. (2004). RDF Vocabulary Description Language 1.0: RDF Schema. W3C. http://www.w3.org/TR/rdf-schema/.
Damljanovic, D., & Bontcheva, K. (2008). Enhanced semantic access to software artefacts. In Proceedings of Workshop on Semantic Web Enabled Software Engineering (SWESE) Held in Conjunction with ISWC.
Damova, M., & Dannélls, D. (2011). Reason-able view of linked data for cultural heritage. In Proceedings of the 3rd International Conference on Software, Services and Semantic Technologies (S3T). Advances in Intelligent and Soft Computing (Vol. 101, pp. 17–24). Berlin: Springer.
Damova, M., Kiryakov, A., Grinberg, M., Bergman, M. K., Giasson, F., & Simov, K. (2012). Creation and integration of reference ontologies for efficient LOD management. In Semi-automatic ontology development: Processes and resources (pp. 162–199). Hershey PA, USA: IGI Global.
Dannélls, D. (2011). D.8.1 ontology and corpus study of the cultural heritage domain. Deliverable of EU Project MOLTO Multilingual Online Translation.
Dannélls, D. (2012). On generating coherent multilingual descriptions of museum objects from semantic web ontologies. In Proceedings of the Seventh International Natural Language Generation Conference (INLG 2012) (pp. 76–84). Utica, IL: Association for Computational Linguistics.
Dannélls, D., Damova, M., Enache, R., & Chechev, M. (2011a). A framework for improved access to museum databases in the Semantic Web. In Recent Advances in Natural Language Processing (RANLP). Language Technologies for Digital Humanities and Cultural Heritage (LaTeCH).
Dannélls, D., Damova, M., Enache, R., & Chechev, M. (2012). Multilingual online generation from semantic web ontologies. In Proceedings of the 21st World Wide Web Conference (WWW2012), Lyon, France.
Dannélls, D., Ranta, A., Enache, R., Damova, M., & Mateva, M. (2011b). Multilingual access to cultural heritage content on the Semantic Web. In Proceedings of the Association for Computational Linguistics (ACL) Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH).
Dannélls, D., Ranta, A., Enache, R., Damova, M., & Mateva, M. (2013). Multilingual access to cultural heritage content on the semantic web. In Proceedings of Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH).
Declerck, T., Buitelaar, P., Wunner, T., McCrae, J., Montiel-Ponsoda, E., & de Cea, G. A. (2010). Lemon: An ontology-lexicon model for the multilingual Semantic Web. In Proceedings of the World Wide Web Consortium W3C Workshop: The Multilingual Web – Where Are We? Madrid, España: Universidad Politécnica de Madrid.
Demey, Y. T., & Heath, C. (2014). Towards verbalizing multilingual N-ary relations. In P. Buitelaar & P. Cimiano (Eds.), Towards the multilingual semantic web: Principles, methods and applications. Berlin: Springer. doi:10.1007/978-3-662-43585-4.
Garlik, S. H., & Andy, S. (2013). SPARQL 1.1 Query Language. http://www.w3.org/TR/sparql11-query/.
Gerber, D., & Ngomo, A.-C. N. (2014). From RDF to natural language and back. In P. Buitelaar & P. Cimiano (Eds.), Towards the multilingual semantic web: Principles, methods and applications. Berlin: Springer. doi:10.1007/978-3-662-43585-4.
Gromann, D., & Declerk, T. (2014). A cross-lingual correcting and completive method for multilingual ontology labels. In P. Buitelaar & P. Cimiano (Eds.), Towards the multilingual semantic web: Principles, methods and applications. Berlin: Springer. doi:10.1007/978-3-662-43585-4.
Hakimov, S., Tunk, H., Akimaliev, M., & Doglu, E. (2013). Semantic question answering system over linked data using relational patterns. In Proceedings of the 16th International Conference on Extending Database Technology (EDBT/ICDT), Genoa.
Kaljurand, K., & Kuhn, T. (2013). A multilingual semantic wiki based on Attempto Controlled English and Grammatical Framework. In Proceedings of the 10th Extended Semantic Web Conference (ESWC 2013). Berlin: Springer.
Kiryakov, A., Ognyanoff, D., Velkov, R., Tashev, Z., & Peikov, I. (2009). LDSR: Materialized Reason-able view to the Web of linked data. In Proceedings of the 5th International Workshop on OWL: Experiences and Directions, Chantilly, USA.
Kiryakov, A., Ognyanoff, D., Velkov, R., Tashev, Z., & Peikov, I. (2010). LDSR: Materialized Reason-able view to the Web of linked data. Sofia: Ontotext AD.
Kuhn, T. (2013). A survey and classification of controlled natural languages. Computational Linguistics, 40(1):121–170
Lassila, O., & Swick, R. R. (1999). Resource Description Framework (RDF). Model and Syntax Specification. http://www.w3.org/TR/REC-rdf-syntax.
Lopez, V., Unger, C., Cimiano, P., & Motta, E. (2013). Evaluating question answering over linked data. Web Semantics: Science, Services and Agents on the World Wide Web, 21.
Martin-Löf, P. (1984). Intuitionistic type theory. Napoli: Bibliopolis.
McCrae, J. P., & Unger, C. (2014). Design patterns for engineering the Ontology-Lexicon interface. In P. Buitelaar & P. Cimiano (Eds.), Towards the multilingual semantic web: Principles, methods and applications. Berlin: Springer. doi:10.1007/978-3-662-43585-4.
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. In Proceedings of the 22nd World Wide Web Conference (WWW).
O’Donnell, M. J., Mellish, C., Oberlander, J., & Knott, A. (2001). ILEX: An architecture for a dynamic hypertext generation system. Natural Language Engineering, 7(3):225–250.
Power, R., Scott, D., & Evans, R. (1998). What You See Is What You Meant: Direct knowledge editings with natural language feedback. In Proceedings of the 13th European Conference on Artificial Intelligence (ECAI 1998) (pp. 677–681). Chichester: Wiley.
Ranta, A. (2009). The GF resource grammar library. The On-line Journal Linguistics in Language Technology (LiLT), 2(2):1–65.
Ranta, A. (2011). Grammatical framework: Programming with multilingual grammars. CSLI Studies in Computational Linguistics. Stanford: CSLI.
Ranta, A. (2012). Implementing programming languages. An introduction to compilers and interpreters. London: College Publications.
ter Horst, H. J. (2005). Combining RDF and part of OWL with rules: Semantics, decidability, complexity. In Proceedings of the 4th International Semantic Web Conference (ISWC). Lecture Notes in Computer Science (Vol. 3729, pp. 668–684). Berlin: Springer.
Unger, C., Buehmann, L., Lehmann, J., Ngomo, A.-C. N., Gerber, D., & Cimiano, P. (2012). Template-based question answering over RDF data. In Proceedings of the 21st World Wide Web Conference – Ontology Representation and Querying: RDF and SPARQL.
W3C OWL Working Group. (2012). OWL Web Ontology Language Overview. http://www.w3.org/TR/owl2-overview/.
Walter, S., Unger, C., Cimiano, P., & Baer, D. (2012). Evaluation of a layered approach to question answering over linked data. In Proceedings of the 11th International Semantic Web Conference (ISWC), Boston.
Acknowledgements
This work is supported by MOLTO European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914. We are grateful to the anonymous referees for helpful and detailed comments.
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Damova, M., Dannélls, D., Enache, R., Mateva, M., Ranta, A. (2014). Multilingual Natural Language Interaction with Semantic Web Knowledge Bases and Linked Open Data. In: Buitelaar, P., Cimiano, P. (eds) Towards the Multilingual Semantic Web. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43585-4_13
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