Abstract
Performance on a question answering system is reflected by the number of correct answers that is produce from a list of alternate choices. However, many answers would appear in documents and passages laden with terms from the query. It becomes more difficult and eventually impossible to make a precise answer to a query. The aim of this study is to determine the keyword of the precise answer to a specific query and illustrate the answer in visual expression. In this paper we propose a method to translate text into visual expression, closest to the correct answer. To achieve a significant illustration capability it is necessary to develop methods of dealing with knowledge base. Firstly, we must consider the real world and the visual expression of key information that can be extracted from the words. The proposed system will analyse and match them using visual semantic simplification description based on logical representation.
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Galitsky, B.: Natural Language Question Answering System, 2nd edn. Advanced Knowledge International Pty Ltd., Adelaide (2003)
Rabiah, A.K., Sembok, T.M.T., Halimah, B.Z.: Intelligent Information Extraction using Logical Approach: Skolemize Clauses Binding. In: Proceedings of Knowledge Management International Conference 2008 (KMICe 2008), Langkawi, Malaysia, pp. 251–256 (2008)
Computation and the Philosophy of Science (2006), http://cogsci.uwaterloo.ca/Articles/Pages/comp.phil.sci.html
Thagard, P.: Mind: Introduction to Cognitive Science. MIT Press, Cambridge (1996)
Mohammadzadeh, A., Valadan Zoej, M.J., Tavakoli, A.: Automatic Main Road Extraction from High Resolution Satelite Imageris by Means of Self-Learning Fuzzy-GA Resolution. Journal of Applied Sciences 3(19), 3431–3438 (2008)
Srihari, R.K., Burhans, D.T.: Visual Semantics: Extracting Information from Text Accompanying Pictures (1995)
Rabiah, A.K., Sembok, T.M.T., Halimah, B.Z.: Computing Key-word Answer to Hypothetical Queries in the Presence of Skolem Clauses Binding. Journal WSEAS Transaction on Computer 6(93), 514–521 (2007)
Zeng, X., Mehdi, Q.H., Gough, N.E.: From Visual Semantic Parameterization to Graphic Visualization (2005)
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© 2009 Springer-Verlag Berlin Heidelberg
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Rabiah, A.K., Sembok, T.M.T., Halimah, B.Z. (2009). Generating 3D Visual Expression Using Semantic Simplification Description Based on Logical Representation. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_7
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DOI: https://doi.org/10.1007/978-3-642-05036-7_7
Publisher Name: Springer, Berlin, Heidelberg
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