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13 results for “relational database model”
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Research ArticleOpen accessIn the keywordsOne-Match and All-Match Categories for Keywords Matching in ChatbotAbbas Saliimi Lokman, Jasni Mohamad ZainProblem statement: Artificial intelligence chatbot is a technology that makes interactions between men and machines using natural language possible. From literature of chatbot’s keywords/pattern matching techniques, potential issues for improvement had been discovered. The discovered issues are in the context of keywords arrangement for matching precedence and keywords variety for matching flexibility. Approach: Combining previous techniques/mechanisms with some additional adjustment, … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 8,165 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Neural Networks Towards Electronic Trust QuantificationSmitha Zacaria, Tiny du ToitTrust is a broad term applicable in various contexts. Trust between electronic entities is complex to quantify, particularly in intricate networks. Traditional trust algorithms rely on historical trust values, requiring storage and access to past transaction details. Contextual variations further complicate trust calculation. Challenges in calculating trust include heightened computational complexities, managing information storage, and securing access to extensive datasets … …Journal of Computer Science, Vol. 20, Issue 11 · 26 Sep 2024 · 4,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplex SQL-NoSQL Query Translation for Data Lake ManagementNurhadi, Rabiah Abdul Kadir, Ely Salwana Mat SurinA data lake refers to an extremely large data resource or repository. Data lakes store large amounts of data and use advanced analytics to pair data from multiple sources with different types of structured, semi-structured, and unstructured information. NoSQL databases such as Mongodb, Redis, Neo4j, and Cassandra are nontabular and they store data differently rather than use relational tables. NoSQL … …Journal of Computer Science, Vol. 18, Issue 12 · 19 Dec 2022 · 9,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractRetrieval Optimization Technique for Tuple Timestamp Historical Relation Temporal Data ModelSami M. Halawani, Ibrahim AlBidewi, Ab Rahman Ahmad, Nashwan A. Al-RomemaProblem statement: In the field of database technology, Recoding time related data are referred to as temporal databases. Conventional relational databases are queried using the underlying constructs of SQL which are translated into Relational Algebra (RA). Relational Algebra (RA) is the writing of logical expressions that uses a set of relational operators to perform operations on specific relation(s) and returns … …Journal of Computer Science, Vol. 8, Issue 2 · 9 Dec 2011 · 7,376 accessesView PDFCite
Research ArticleOpen accessIn the abstractNormalized Relational Storage for Extensible Markup Language (XML) SchemaKamsuriah Ahmad, Reduan SamadProblem statement: The use of XML as the common formats for representing, exchanging, storing, integrating and accessing data posses many new challenges to database systems. Most of application data are stored in relational databases due to its popularity and rich development experiences over it. Therefore, how to provide a proper mapping approach from XML model to relational model become the … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Middleware for Storing and Querying XML Data in Relational Database Management SystemMohammed Adam Ibrahim Fakheraldien, Jasni Mohamad Zain, Norrozila SulaimanProblem statement: In this study, we propose a middleware that provides a transformation utility for storing and querying XML data in relational databases using model mapping method. Approach: To store XML documents in RDBMS, several mapping approaches can be used. We chose structure independent approach. In this middleware the model mapping method XParent and free of cost available technologies MYSQL, … …Journal of Computer Science, Vol. 7, Issue 2 · 26 Feb 2011 · 7,605 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtension and Prerequisite: An Algorithm to Enable Relations Between Responses in Chatbot TechnologyAbbas Saliimi Lokman, Jasni Mohamad ZainProblem statement: Artificial intelligence chatbot is a technology that makes interactions between man and machines using natural language possible. From literature, we found out that in general, chatbot are functions like a typical search engine. Although chatbot just produced only one output instead of multiple outputs/results, the basic process flow is the same where each time an input is entered, … …Journal of Computer Science, Vol. 6, Issue 10 · 24 Aug 2010 · 16,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards a Temporal Multilevel Secure Database (TMSDB)Ramzi A. Haraty, Natalie BekaiiStandard Relational Databases are used to store the state of reality at a single moment of time. Temporal Databases are used to store Time-Varying Data. Multilevel Secure Databases are used to securely store highly sensitive data. Each of these databases serves its purpose well, but if we were to model the temporal and sensitive aspect of the real world data, … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 6,710 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite