Abstract
We present a question answering system architecture which processes natural language questions in a pipeline consisting of five steps: i) question parsing and query template generation, ii) lookup in an inverted index, iii) string similarity computation, iv) lookup in a lexical database in order to find synonyms, and v) semantic similarity computation. These steps are ordered with respect to their computational effort, following the idea of layered processing: questions are passed on along the pipeline only if they cannot be answered on the basis of earlier processing steps, thereby invoking computationally expensive operations only for complex queries that require them. In this paper we present an evaluation of the system on the dataset provided by the 2nd Open Challenge on Question Answering over Linked Data (QALD-2). The main, novel contribution is a systematic empirical investigation of the impact of the single processing components on the overall performance of question answering over linked data.
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Anderka, M., Stein, B.: The ESA Retrieval Model Revisited. In: Proc. of the 32th Annual International ACM SIGIR Conference, pp. 670–671 (2009)
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data – The Story So Far. Int. Journal on Semantic Web and Information Systems 5 (2009)
Cabrio, E., Palmero Aprosio, A., Cojan, J., Magnini, B., Gandon, F., Lavelli, A.: QAKiS @ QALD-2. In: Proc. of ILD 2012 (2012), http://greententacle.techfak.uni-bielefeld.de/~cunger/qald/2/proceedings_ILD2012.pdf
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press (1998)
Gabrilovich, E., Markovitch, S.: Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. In: Proc. of the 20th International Joint Conference on Artificial Intelligence, pp. 1606–1611 (2007)
Gerber, D., Ngonga Ngomo, A.-C.: Bootstrapping the Linked Data Web. In: Proc. of WekEx at ISWC 2011 (2011)
Lopez, V., Fernández, M., Motta, E., Stieler, N.: PowerAqua: supporting users in querying and exploring the Semantic Web content. Semantic Web Journal (to appear), http://www.semantic-web-journal.net/
Lopez, V., Unger, C., Cimiano, P., Motta, E.: Evaluating Question Answering over Linked Data. Journal of Web Semantics (under review)
Lopez, V., Uren, V., Sabou, M., Motta, E.: Is Question Answering fit for the Semantic Web? A Survey. Semantic Web Journal 2, 125–155 (2011)
Mahendra, R., Wanzare, L., Bernardi, R., Lavelli, A., Magnini, B.: Acquiring Relational Patterns from Wikipedia: A Case Study. In: Proc. of the 5th Language and Technology Conference (2011)
Miller, G.A.: WordNet: A Lexical Database for English. Communications of the ACM 38, 39–41 (1995)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill (1983)
Unger, C., Bühmann, L., Lehmann, J., Ngonga Ngomo, A.-C., Gerber, D., Cimiano, P.: Template-Based Question Answering over RDF data. In: Proc. of WWW 2012 (2012)
Zesch, T., Müller, C., Gurevych, I.: Using Wiktionary for Computing Semantic Relatedness. In: Proc. of the 23rd AAAI Conference on Artificial Intelligence, pp. 861–867 (2008)
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Walter, S., Unger, C., Cimiano, P., Bär, D. (2012). Evaluation of a Layered Approach to Question Answering over Linked Data. In: Cudré-Mauroux, P., et al. The Semantic Web – ISWC 2012. ISWC 2012. Lecture Notes in Computer Science, vol 7650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35173-0_25
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DOI: https://doi.org/10.1007/978-3-642-35173-0_25
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