Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

33 results for “semantic learning”
Set a search alert
Research ArticleOpen accessIn the abstract‘Someone to Open Each and Every Door’: Construction Grammar as a Learner Grammar: The Case of English Indefinite PronounsRandal HolmeThis paper sets out an applied model of Cognitive Construction Grammar along three dimensions: Compositionality, form as a vehicle for promoting the emergence of grammatical meaning from lexical meaning and construal. The model of Cognitive Construction Grammar put forward here implies that the Applied Linguist may have to collect and explain a wider repertoire of grammatical forms than were considered … …Journal of Social Sciences, Vol. 11, Issue 3 · 12 Sep 2015 · 7,855 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Question Answering Systems Based on Ontology and Semantic Web in Different EnvironmentS. Kalaivani, K. DuraiswamyProblem statement: Question Answering (QA) system is taking an important role in current search engine optimization concept. Natural language processing technique is mostly implemented in QA system for asking user’s question and several steps are also followed for conversion of questions to query form for getting an exact answer. Approach: This paper surveys different types of question answering system based … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 8,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Semantic Universal Search in Mobile PlatformJinhyung Kim, Myunggwon Hwang, Hanmin Jung, Doheon JungProblem statement: As the performance of mobile devices is getting higher, a large quantity of information is stored and managed in mobile devices. Therefore, the precise and intelligent universal search becomes the most important issue in the smart mobile platform. Conclusion/Reommendation: In this study, we suggest the semantic universal search in smart mobile platform facilitated by the ontology; ontology modeling, … …Journal of Computer Science, Vol. 8, Issue 5 · 9 Mar 2012 · 6,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Development of Ontology Suite for Software Risk Planning, Software Risk Tracking and Software Risk ControlC.R. Rene Robin, G. V. UmaProblem statement: Ontology as a conceptual courseware structure may work as a mind tool for effective teaching and as a visual navigation interface to the learning objects. Knowledge visualization is defined as the use of visual representations to transfer knowledge between at least two persons. This study presents the design, development and visualization of ontologies for Software Risk Planning, Software … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,965 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 abstractImplementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text SummarizationUday Kulkarni, Rajesh Shardanand PrasadProblem statement: Text summarization takes care of choosing the most significant portions of text and generates coherent summaries that express the main intent of the given document. This study aims to compare the performances of the three text summarization systems developed by the authors with some of the existing Summarization systems available. These three approaches to text summarization are based … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 8,489 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 accessAll words, across the recordDetecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language ProcessingWalanstar Alimcan Sitorus, Evaristus Didik MadyatmadjaAssessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diversity continues to increase. This study proposes an analytical approach to detect the novelty of Indonesian academic research proposal titles by leveraging semantic similarity based on Natural Language Processing (NLP). The CRISP-DM framework is … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Aug 2026 · 1,067 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community DiscoveryDhimesh Pravinbhai Parmar, Paresh TannaSocial media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering approach struggle with sparsity, noise, and limited surroundings information present in such texts. To address these limitations, this study introduces a sentiment-aware hybrid ensemble clustering framework designed openly for social network content analysis. The planned method … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,271 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassification Program and Story Boundaries Segmentation in TV News Broadcast Videos via Deep Convolutional Neural NetworkMounira Hmayda, Ridha Ejbali, Mourad ZaiedGiven the amount of video information on the net, the user has had difficulty finding the information in a reasonable amount of time. Thus, all video content must be segmented and annotated so that he/she can access the information directly. The goal of the proposed approach is to allow a better exploitation of video by multimedia services (TV-On- Demand, catch-up … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,743 accessesView PDFCite