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30 results for “semantic net”
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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 abstractSEMANTIC ENHANCED UDDI USING OWL-S PROFILE ONTOLOGY FOR THE AUTOMATIC DISCOVERY OF WEB SERVICES IN THE DOMAIN OF TELECOMMUNICATIONR. Lakshmana Kumar, M. S. Irfan AhmedThe current web services which are evolved in the telecom domain such as payment web services, Yellow pages web services, operator web services, weather web services are failed to bring down the semantic as they used to prove its syntactic description. The reason for bringing down the semantic description into already existing web services will invoke certain operations like automatic … …Journal of Computer Science, Vol. 10, Issue 8 · 20 Mar 2014 · 7,007 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 abstractA Question Answering System on Holy Quran Translation Based on Question Expansion Technique and Neural Network ClassificationSuhaib Kh. Hamed, Mohd Juzaiddin Ab AzizIn spite of great efforts that have been made to present systems that support the user's need of the answers from the Holy Quran, the current systems of English translation of Quran still need to do more investigation in order to develop the process of retrieving the accurate verse based on user's question. The Islamic terms are different from one … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 9,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating the Performance of Equitable Dominating based Content Distribution Network DesignAmutharaj Joyson, Radhakrishnan ShanmugasundaramProblem statement: In this study, we considered an efficient and resilient large file content push problem in a large scale distributed content delivery networks and investigated the Quality of Service (QoS) requirements for content distribution. We investigated the effect of equitable dominating set in SON formation and how it was useful in reducing the redundancy? Approach: At first, we constructed … …Journal of Computer Science, Vol. 7, Issue 8 · 16 Jul 2011 · 6,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Bayesian Networks in Classification-and-Ranking Architecture of Response GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance. However, if the classifier is able to collate features from a sequence of previous n-1 user utterances, the additional information may … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,104 accessesView PDFCite
Research ArticleOpen accessIn the abstractProgressive Content-Sensitive Data Retrieval in Sensor NetworksBo Yang, Manohar MareboyanaProblem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,845 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 abstractIntroducing Song Form Intelligence into Streaming AudioKevin CurranWhen receiving streaming media over a low bandwidth wireless connection, users can experience not only packet losses but also extended service interruptions. These dropouts can last for as long as 15 sec. During this time no packets are received and if not addressed, these dropped packets cause unacceptable interruptions in the audio stream. A long dropout of this kind may … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,572 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite