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34 articles for “Search Word”

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Research ArticleOpen accessEvery word in the titleCOMPUTATIONAL MODEL TO GENERATE CASE-INFLECTED FORMS OF MASCULINE NOUNS FOR WORD SEARCH IN SANSKRIT E-TEXTKasmir Raja S.V., V. Rajitha, Meenakshi LakshmananThe problem of word search in Sanskrit is inseparable from complexities that include those caused by euphonic conjunctions and case-inflections. The case-inflectional forms of a noun normally number 24 owing to the fact that in Sanskrit there are eight cases and three numbers-singular, dual and plural. The traditional method of generating these inflectional forms is rather elaborate owing to the … …Journal of Computer Science, Vol. 10, Issue 11 · 13 Dec 2014 · 7,897 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEFFICIENT RANKED AND SECURE FILE RETRIEVAL IN CLOUD COMPUTINGJ. Jospin Jeya, E. KannanCloud computing facilitates extremely scalable services that can be consumed over internet. An important aspect of the cloud services is that user data are stored remotely in unknown machines in which users do not posses or manage. Since the data’s are stored remotely, we have to keep in mind that sensitive cloud data have to be encrypted before they are … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the keywordsContext Disambiguation Based Semantic Web Search for Effective Information RetrievalM. Barathi, S. ValliProblem statement: Search queries are short and ambiguous and are insufficient for specifying precise user needs. To overcome this problem, some search engines suggest terms that are semantically related to the submitted queries, so that users can choose from the suggestions based on their information needs. Approach: In this study, we introduce an effective approach that captures the user’s specific … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractConcordance and Term Frequency in Analyzing API Calls for Malware Behavior DetectionNur Hilda Amira Abd Wahab, Masnizah Mohd, Ravie Chandren Muniyandi et al.Application Programming Interface (API) is used for the software to interact with an operating system to do certain task such as opening file, deleting file and many more. Programmers use this API to make it easier for their program to communicate with the operating system without having the knowledge of the hardware of the target system. Malware author is an … …Journal of Computer Science, Vol. 15, Issue 9 · 25 Sep 2019 · 7,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Information Content Glossary Relatedness (ICGR) Approach for Short Text Similarity (STS) TasksAli Muftah BenOmran, Mohd Juzaiddin Ab AzizThe measurement of the relatedness of word semantics based on complementary Wikipedia and WordNet-based methods takes two forms, combined and integrative, which are aimed at increasing the semantic space between related words. However, each form has its own set of issues regarding its components and the strategy that is used to combine and integrate corpus-based and knowledge-based methods. In the … …Journal of Computer Science, Vol. 15, Issue 6 · 5 Jun 2018 · 7,997 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractWordnet and Ontology Based Query Expansion for Semantic Information Retrieval in Sports DomainM. Uma Devi, G. Meera GandhiSemantic Search has been a major longing factor from the envisage state of Semantic Web. Information on the Web is growing at a very rapid pace and has become quite voluminous over the past few years. Semantics of the query is not considered in Traditional Search system since it is a mere Keyword based Search. To increase the number of … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractONTOPARK: ONTOLOGY BASED PAGE RANKING FRAMEWORK USING RESOURCE DESCRIPTION FRAMEWORKS. Yasodha, S. S. DhenakaranTraditional search engines like Google and Yahoo fail to rank the relevant information for users’ query. This is because such search engines rely on keywords for searching and they fail to consider the semantics of the query. More sophisticated methods that do provide the relevant information for the query is the need of the time. The Semantic Web that stores … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Competing Lexical Distracters in a Visual Search TaskJeremy W. Grabbe, Tom Cioffi, Luke T. Zauner et al.Studies have shown that distracters that are relevant to a target can negatively affect visual search performance. Recent studies have looked at performance when targets are embedded within a distracter. Various factors have been explored such as automaticity, spatial location and timing. This study asked, &#34If distracters affected a different dimension would that produce a detriment to visual search performance&#34? … …Current Research in Psychology, Vol. 4, Issue 2 · 16 Jan 2014 · 7,373 accessesView PDFCite