Abstract
This paper presents the ONTOSUM system which uses Natural Language Generation (NLG) techniques to produce textual summaries from Semantic Web ontologies. The main contribution of this work is in showing how existing NLG tools can be adapted to Semantic Web ontologies, in a way which minimises the customisation effort while offering more diverse output than template-based ontology verbalisers. A novel dimension of this work is the focus on tailoring the summary formatting and length according to a device profile (e.g., mobile phone, Web browser). Another innovative idea is the use of ontology mapping for summary generation from different ontologies.
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Aguado, G., Bañón, A., Bateman, J.A., Bernardos, S., Fernández, M., Gómez-Pérez, A., Nieto, E., Olalla, A., Plaza, R., Sánchez, A.: ONTOGENERATION: Reusing domain and linguistic ontologies for Spanish text generation. In: Workshop on Applications of Ontologies and Problem Solving Methods, ECAI 1998 (1998)
Bontcheva, K., Tablan, V., Maynard, D., Cunningham, H.: Evolving GATE to Meet New Challenges in Language Engineering. Natural Language Engineering 10(3/4), 349–373 (2004)
Bontcheva, K., Wilks, Y.: Automatic Report Generation from Ontologies: the MIAKT approach. In: Meziane, F., Métais, E. (eds.) NLDB 2004. LNCS, vol. 3136, pp. 324–335. Springer, Heidelberg (2004)
de Bruijn, J., Martin-Recuerda, F., Manov, D., Ehrig, M.: State-of-the-art survey on Ontology Merging and Aligning v1. Technical report, SEKT project deliverable D4.2.1 (2004), http://sw.deri.org/jos/sekt-d4.2.1-mediation-survey-final.pdf
McKeown, K.R.: Text Generation: Using Discourse Strategies and Focus Constraints to Generate Natural Language Text. Cambridge University Press, Cambridge (1985)
Nielsen, J.: Designing Web Usability: The Practice of Simplicity. New Riders Publishing, Indianapolis (2000)
Paris, C.L.: Tailoring object descriptions to the user’s level of expertise. Computational Linguistics 14(3), 64–78 (1988) Special Issue on User Modelling
Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000)
Reiter, E.: Pipelines and size constraints. Computational Linguistics 26, 251–259 (2000)
Sowa, J.F. (ed.): Principles of Semantic Networks: Explorations in the Representation of Knowledge. Morgan Kaufmann, California (1991)
Wilcock, G.: Talking OWLs: Towards an Ontology Verbalizer. In: Human Language Technology for the Semantic Web and Web Services, ISWC 2003, Sanibel Island, Florida, pp. 109–112 (2003)
Wilcock, G., Jokinen, K.: Generating Responses and Explanations from RDF/XML and DAML+OIL. In: Knowledge and Reasoning in Practical Dialogue Systems, IJCAI 2003, Acapulco, pp. 58–63 (2003)
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Bontcheva, K. (2005). Generating Tailored Textual Summaries from Ontologies. In: Gómez-Pérez, A., Euzenat, J. (eds) The Semantic Web: Research and Applications. ESWC 2005. Lecture Notes in Computer Science, vol 3532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11431053_36
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DOI: https://doi.org/10.1007/11431053_36
Publisher Name: Springer, Berlin, Heidelberg
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