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Semantics representation in a sentence with concept relational model (CRM)


Abdullah, Rusli and Abdul Hamid, Jamaliah and Selamat, Mohd Hasan and Ibrahim, Hamidah and Ungku Chulan, Ungku Azmi Iskandar (2008) Semantics representation in a sentence with concept relational model (CRM). In: Knowledge Management International Conference 2008 (KMICe 2008), 10-12 June 2008, Langkawi, Kedah. (pp. 112-116).


The current way of representing semantics or meaning in a sentence is by using the conceptual graphs. Conceptual graphs define concepts and conceptual relations loosely. This causes ambiguity because a word can be classified as a concept or relation. Ambiguity disrupts the process of recognizing graphs similarity, rendering difficulty to multiple graphs interaction. Relational flow is also altered in conceptual graphs when additional linguistic information is input. Inconsistency of relational flow is caused by the bipartite structure of conceptual graphs that only allows the representation of connection between concept and relations but never between relations per se. To overcome the problem of ambiguity, the concept relational model (CRM) described in this article strictly organizes word classes into three main categories; concept, relation and attribute. To do so, CRM begins by tagging the words in text and proceeds by classifying them according to a predefined mapping. In addition, CRM maintains the consistency of the relational flow by allowing connection between multiple relations as well. CRM then uses a set of canonical graphs to be worked on these newly classified components for the representation of semantics. The overall result is better accuracy in text engineering related task like relation extraction.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
Faculty of Educational Studies
Publisher: Universiti Utara Malaysia
Keywords: Conceptual graph; Concept relational model; Language models; Semantic network; Semantic representation; Natural language processing
Depositing User: Nabilah Mustapa
Date Deposited: 21 Mar 2018 03:33
Last Modified: 21 Mar 2018 03:33
URI: http://psasir.upm.edu.my/id/eprint/59727
Statistic Details: View Download Statistic

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