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Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 53-142
Full Name: Noor Maizura Mohamad Noor
Position: Associate Professor
Age: ON
Sex: Female
Address: Universiti Malaysia Terengganu
Country: MALAYSIA
Tel: 0169806310
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E-mail address: maizura@umt.edu.my
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Title of the Paper: A New Framework to Analyze Semantic for Object-Oriented Model
Authors as they appear in the Paper: Noraida Haji Ali, Noor Syakirah Ibrahim and Noor Maizura Mohamad Noor
Email addresses of all the authors: aida@umt.edu.my, gsk0910@pps.umt.edu.my, maizura@umt.edu.my
Number of paper pages: 10
Abstract: The importance of modeling is apparent with its use to predict cost and time requirement especially in completing a system. However, there is no equivalent standard for evaluating the quality of conceptual models. Thomasson has also shows the difficulties in designing the appropriate UML class diagram such as naming the notation element. The UML class diagram designed by students always neglects the quality in modeling such as consistency and accuracy. Our study proposes the use of WordNet in order to achieve the quality in modeling. The use of RiTa.WordNet shows that synonyms extracted can be used to match the UML class name designed by students and this will increase the accuracy of modeling.
Keywords: Framework; WordNet synsets extraction; Object-oriented model; Inverted Index Extraction (IIE); Pattern-based Extraction (PbE); Maximum Entropy (MaxEnt)
EXTENSION of the file: .doc
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