Volume 5 Number 1 (Jan. 2010)
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JCP 2010 Vol.5(1): 69-80 ISSN: 1796-203X
doi: 10.4304/jcp.5.1.69-80

A Corpus-based Evaluation of a Domain-specific Text to Knowledge Mapping Prototype

Rushdi Shamssup>1, Adel Elsayedsup>2, and Quazi Mah- Zereen Aktersup>3
1 Department of Computer Science and Engineering, Khulna University of Engineering & Technology (KUET), Bangladesh
2 M3C Research Lab, the University of Bolton, United Kingdom
3 Department of Computer Science & Engineering, University of Dhaka, Bangladesh


Abstract—The aim of this paper is to evaluate a Text to Knowledge Mapping (TKM) Prototype. The prototype is domain-specific, the purpose of which is to map instructional text onto a knowledge domain. The context of the knowledge domain is DC electrical circuit. During development, the prototype has been tested with a limited data set from the domain. The prototype reached a stage where it needs to be evaluated with a representative linguistic data set called corpus. A corpus is a collection of text drawn from typical sources which can be used as a test data set to evaluate NLP systems. As there is no available corpus for the domain, we developed and annotated a representative corpus. The evaluation of the prototype considers two of its major components- lexical components and knowledge model. Evaluation on lexical components enriches the lexical resources of the prototype like vocabulary and grammar structures. This leads the prototype to parse a reasonable amount of sentences in the corpus. While dealing with the lexicon was straight forward, the identification and extraction of appropriate semantic relations was much more involved. It was necessary, therefore, to manually develop a conceptual structure for the domain to formulate a domain-specific framework of semantic relations. The framework of semantic relationsthat has resulted from this study consisted of 55 relations, out of which 42 have inverse relations. We also conducted rhetorical analysis on the corpus to prove its representativeness in conveying semantic. Finally, we conducted a topical and discourse analysis on the corpus to analyze the coverage of discourse by the prototype.

Index Terms—Corpus, Knowledge Representation, Ontology, Lexical Components, Knowledge Model, Conceptual Structure, Semantic Relations, Discourse Analysis, Topical Analysis

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Cite: Rushdi Shams, Adel Elsayed, and Quazi Mah- Zereen Akter, " A Corpus-based Evaluation of a Domain-specific Text to Knowledge Mapping Prototype," Journal of Computers vol. 5, no. 1, pp. 69-80, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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