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

60 articles for “Semantic Model”
Set a search alert
Research ArticleOpen accessEvery word in the titleHybrid Deep Learning Model for Evaluating Subjective Answers Based on Semantic Textual SimilaritySiddhesh Kudtarkar, Kavita ShirsatSubjective answer evaluation requires accurately identifying semantic similarities between student and reference responses. This study introduces a Hybrid Deep Learning Model (HDLM) that integrates CNN, GRU, and LSTM architectures to assess Semantic Textual Similarity (STS) more effectively. The HDLM employs two parallel branches-CNN-GRU and CNN-LSTM to capture both local syntactic features and long-range contextual dependencies, followed by Manhattan distance for … …Journal of Computer Science, Vol. 22, Issue 4 · 7 Apr 2026 · 1,690 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleS-CPM: Semantic-Similarity Cluster based Privacy Preservation Model with Cell Generalization PrincipleSatish B Basapur, B S Shylaja, VenkateshTimely data analysis on a wide variety and a large volume of data unveil valuable information or new insights. The analysis results could be used to innovate new avenues in health care service, business and e-service, etc. However, releasing, storing and reusing sensitive data to third parties results in breaching the data privacy of the individual. To combat privacy breach … …Journal of Computer Science, Vol. 18, Issue 3 · 17 Mar 2022 · 6,314 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSemantic Web on Scope: A New Architectural Model for the Semantic WebHaytham T. Al-Feel, Magdy Koutb, Hoda SuororProblem Statement: Current web contains billions of documents and has many administrative problems and limitations; in addition to that the web content is still accessible only to humans. The solution to these problems is the Semantic Web. The Semantic Web is considered to be the extension for the current web. But there are problems facing the Semantic Web now, such … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,764 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContext Tamil Llama-QA: A Question and Answering Framework for Semantic Information Retrieval Using Tamil Large Language ModelJeevit Davidson S., M. MuraliThe Question Answering System (QA) is essential for effectively retrieving and providing relevant information, and its performance is heavily reliant on the efficiency of information retrieval mechanisms. As the volume of information within the corpus continues to grow, the complexity of generating accurate and pertinent answers also increases substantially. This challenge is particularly significant when designing QA systems for regional … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 442 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Approach for Discovering the Patterns by using PDBD Model in Big DataKamatchi Sundravadivelu, Muthuraman ThangarajBig data is a term that refers to information collected from a wide range of sources, including transaction processing systems, sensors, digital photographs, internet click stream logs, movies, and social media. The goal of text mining is to reveal new patterns and relationships that could lead to the discovery of previously unknown sources. It provides ample scope for interpretation of … …Journal of Computer Science, Vol. 18, Issue 5 · 21 May 2022 · 6,045 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLogic and the Mathematic Model of the Subject-Area Description for Corporate Information SystemsKonstantin Yurievich Maslenikov, Georgiy Ivanovich RevunkovAiming to build and receive a logic-mathematical substantiation and model of the process of constructing the description of any subject area for corporate information systems, the authors divided the subject area for building the system into constituent elements and the relationships between them. Using discrete mathematics methods to the graphs and two-seater predicates of the first order, we built an … …Journal of Computer Science, Vol. 18, Issue 1 · 2 Feb 2022 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTopic-Transformer for Document-Level Language UnderstandingOumaima Hourrane, El Habib BenlahmarAs long as natural language processing applications are considered prediction problems with insufficient context, usually referred to as a single sentence or paragraph, this does not reveal how humans perceive natural language. When reading a text, humans are sensitive to much more context, such as the rest or other relevant documents. This study focuses on simultaneously capturing syntax and global … …Journal of Computer Science, Vol. 18, Issue 1 · 22 Jan 2022 · 6,616 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWetland Ontology Modeling to Apply the Context-Aware Technology for Application Service EnvironmentJ. I. Gwi-Hwan, O. H. Ryum-DuckProblem statement: Due to recent advances in the IT industry, the importance of ontology has increased as a tool of knowledge representation at home or abroad for implementation of intelligent and personalized service system such as next generation semantic web environment and ubiquitous computing environment. But, although the importance of wetlands are being recognized, systematic management is still not enough … …Journal of Computer Science, Vol. 8, Issue 3 · 13 Jan 2012 · 6,970 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProviding Fairness to Mobile Workforces in an Automated Task Allocation Process: A Semantic Multi-agent ApproachArash Mousavi, Riza Sulaiman, Md. Jan Nordin et al.Problem statement: Mobile Workforces (MW) unlike computational resources of an automated system are active but not passive entities. Therefore, an automated resource allocation system that deals with MWs should assign tasks to them fairly and in a comparatively equal manner. An unfair task allocation in a group will cause dissatisfaction, which in turn demotivates MWs who are supposed to work … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 16 May 2012 · 7,003 accessesView PDFCite