Research ArticleOpen accessIn the abstractEXPLOITING SOCIAL TAGS TO OVERCOME COLD START RECOMMENDATION PROBLEMA. S. Ghabayen, Shahrul Azman NoahThe practice and method of collaboratively creating and managing tags to annotate and categorize content has resulted in the creation of folksonomy. Folksonomies provide new opportunities and challenges in the field of recommender systems. Despite the considerable amount of researches done in the context of recommender systems, the specific problem of integrating tags into standard recommender system algorithms is less … …Journal of Computer Science, Vol. 10, Issue 7 · 18 Feb 2014 · 7,084 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 abstractArabic Person Names Recognition by using a Rule Based ApproachMohammed Aboaoga, Mohd Juzaiddin Ab AzizName Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,482 accessesView PDFCite
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 abstractA Preliminary Investigation of the Adversity Reading in Archaic WEI PassivesJun-Yu Zhang, Pei-Jung KuoProblem statement: It is well-known that modern Chinese imposes such a requirement on the subject in the BEI passive, but in fact it does not hold tightly in Modern Chinese. Only 50-75% of passives have the adversity reading on the subject. Approach: One approach to explain this phenomenon is to adopt the view of grammaticalization and trace the semantic change … …Journal of Social Sciences, Vol. 8, Issue 3 · 8 Aug 2012 · 7,594 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Image Retrieval of Ultrasound Liver Diseases Based on Hybrid ApproachR. Suganya, S. RajaramProblem statement: In the past few years, immense improvement was obtained in the field of Content-Based Image Retrieval (CBIR). Nevertheless, existing systems still fail when applied to medical image databases. Simple feature-extraction algorithms that operate on the entire image for characterization of color, texture, or shape cannot be related to the descriptive semantics of medical knowledge that is extracted from … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 24 Mar 2012 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractVideo Retrieval using Histogram and Sift Combined with Graph-based Image SegmentationTran Quang Anh, Pham Bao, Tran Thuong Khanh et al.Problem statement: Content-Based Video Retrieval (CBVR) is still an open hard problem because of the semantic gap between low-level features and high-level features, largeness of database, keyframe’s content, choosing feature.In this study we introduce a new approach for this problem based on Scale-Invariant Feature Transform (SIFT) feature, a new metric and an object retrieval method. Conclusion/Recommendations: Our algorithm is built … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 7,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractReengineering Legacy to Modern System with One Time Checker for Information System EvolutionP. Sudhakar, P. SakthivelProblem statement: The prime focus of Information System (IS) evolution process is the aggrandize productivity and quality of various components of the system. The evolution process is always challenging as it leads to an increase in overall complexity especially when the system changes are mostly confined to part of it. Approach: In this respect to improve efficiency and decrease complexity, … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 14 Mar 2012 · 7,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntological Approach for Effective Generation of Concept Based User Profiles to Personalize Search ResultsS. Prabaharan, R. S.D. WahidabanuProblem statement: Ontological user profile generation was a semantic approach to derive richer concept based user profiles. It depends on the semantic relationship of concepts. This study focuses on ontology to derive concept oriented user profile based on user search queries and clicked documents.This study proposes concept based on topic ontology which derives the concept based user profiles more independently. … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,218 accessesView PDFCite