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60 results for “Semantic Model”
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Research ArticleOpen accessIn the abstractMatching LSI for Scalable Information RetrievalRajagopal Palsonkennedy, T. V. GopalLatent Semantic Indexing (LSI) is one of the well-liked techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of which the noises could … …Journal of Computer Science, Vol. 8, Issue 12 · 2 Jan 2013 · 6,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractLearning Content Recommendation for Visual Basic.Net Programming Language based on OntologySaman Shishehchi, Seyed Yashar Banihashem, Nor Azan Mat Zin, Shahrul Azman Mohd NoahNowadays, the quality of learning and the expansion of education technology, motivate the researchers to work on learning area more than before. Problem statement: With the rapid advance of learning contents on the web and also the variety of learning books, finding suitable ones has become a very difficult and complicated task for learners. Approach: This study aims to propose … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractGraph Based Segmentation in Content Based Image RetrievalP. S. Suhasini, K. S.R. Krishna, I. V.M. KrishnaProblem statement: Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. To meet the requirement as a preprocessing step … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractTRUST BASED AUTOMATIC QUERY FORMULATION SEARCH ON EXPERT AND KNOWLEDGE USERS SYSTEMSK. Sridharan, M. ChitraDue to enhance in complexity of services, there is a necessity for dynamic interaction models. For a service-oriented system to work properly, we need a context-sensitive trust based search. Automatic information transfer is also deficient when unexpected query is given. However, it shows that search engines are vulnerable in answering intellectual queries and shows an unreliable outcome. The user cannot … …Journal of Computer Science, Vol. 10, Issue 7 · 18 Feb 2014 · 6,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractBUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPINGJinhyung Kim, Myunggwon Hwang, Do-Heon Jeong et al.In this study, we suggest the mobile business intelligence service based on adaptive recognition of user intention and usage patterns. This service is named as InSciTe adaptive and based on text mining and semantic web technologies. This service supports not only technology-focusing analysis and prediction but also adaptive recognition about user’s intention by semi-automatic user modeling process. By the adaptive … …Journal of Computer Science, Vol. 9, Issue 10 · 17 Sep 2013 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractApproaches for Categorization of Reusable Software ComponentsParvinder Singh Sandhu, Janpreet Singh, Hardeep SinghReuse repositories manager manages the reusable software components in different categories and needs to find the category of reusable software components. In this paper, we have used different pure and hybrid approaches to find the domain relevancy of the component to a particular domain. Probabilistic Latent Semantic Analysis (PLSA) approach, LSA, Singular Value Decomposition (SVD) technique, LSA Semi-Discrete Matrix Decomposition … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,902 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModified U-Net With VGG11-BN Encoder and Frost Filter Based Pre-Processing for Copy Move Forgery LocalizationAshutosh Pandey, Niranjan Lal, Ashish Kumar ChakravertiCopy-move forgery is a widely used forgery method in digital image forensics, which involves copying and pasting a part of an image into another part of the image to hide or duplicate the visual information. This makes it difficult to detect such manipulations, particularly when the regions are subjected to geometric and photometric transformations. A Frost Filter-Enhanced Encoder-Decoder U-Net is … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 457 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDevelopment of Domain Ontology for a Semantic Online ForumHazalina Hashim, Shahrul Azman Mohd NoahOntology has the potential to structure domain knowledge and formally represent the knowledge in a more precise, explicit, consensus-based and meaningful manner. However, to our knowledge, none have made an effort to integrate forum discussion with subject module knowledge into ontologies to enhance learning of the subject taught. As such, it is the interest of this paper to reuse, classify, … …Journal of Computer Science, Vol. 11, Issue 5 · 12 Aug 2015 · 6,661 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimizing Title and Meta Tags Based on Distribution of Keywords; Lexical and Semantic ApproachesMohammad Farahmand, Abu Bakar M.D. Sultan, Masrah Azrifah Azmi Murad, Fatimah SidiProblem statement: To increase traffic on websites, Search Engine Optimization (SEO) has provided many costly and time-consuming options. One problem is the inadequate distribution of keywords especially those keywords that users use the title tag and Meta tags. Approach: This study described work on an initial model for handling some of the SEO factors to increase the distribution of keywords. … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,894 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSemantic Refinement of Multi-meaning Words by T-normsF. Sadeghi, H. Khosravi, E. EslamiIn this paper we consider a multi-meaning word which appears in a sentence together with some connected words. To refine the meaning of this multi-meaning word, we propose a method based on T-norms which are reasonable mathematical models of logical conjunction operator in fuzzy logic. The preliminary results derived from a prepared corpus are encouraging. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,416 accessesView PDFCite