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15 articles for “Ontology Framework”
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Enabling Semantics on Location Based Services Using Ontology Based Reasoning
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The main motive of current paper is to review and determine the most commonly used Location Based Services (LBS) and enabling semantics using ontology reasoning. The Location based services using ontology determines how semantics can be applied to make user context based reasoning framework. The objective is to develop framework (using ontology) which enables user based reasoning. Basically depending on the users …
Published in Journal of Computer Technology & Applications · Vol. 2, Issue 2, 2011 Read article
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Development of Semantic Ontology for Tourism Information Using Protégé
Abstract: The World Wide Web is widely used as a medium for information exchange but due to non semantic nature of HTML its application is limited. The current web can only display information in a simple manner. Researchers are working on the extension of the World Wide Web which will be intelligent and enable us to exchange content with the applications and websites. Target of Semantic web research is to allow …
Published in Current Trends in Information Technology · Vol. 3, Issue 2, 2013 · pp. 11–15 Read article
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Web 3.3: Towards the Future of Intelligent Personal Assistants
Abstract: The way individuals communicate with one another and conduct business has altered as a result of the deployment of the web. Compared to the current web, which uses HTML, the semantic web is far more beneficial. A set of design standards, cooperative working groups, and numerous enabling technologies make up the semantic web. Web 3.3 aims to increase the complexity and level of intelligence of the internet. It has the …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article
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A Semantic Analysis of Component-Based Web Services Framework for Component-Based Software
Abstract: Software components are the basic building blocks of enterprise and distributed software applications which are developed by using component-based software engineering (CBSE) approach. CBSE approach is used in developing a wide variety of software application to enhance the software reusability, quality and efficiency. In CBSE area, component-based technology is used to develop software on through different framework because it focuses on developing large software systems by integrating newly developed components …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 1, 2016 · pp. 20–26 Read article
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MapReduce Paradigm Using Large-Scale Ontologies
Abstract: AbstractWith the upcoming information downpour of semantic information, the quick development of ontology bases has acquired huge difficulties in performing proficient and adaptable thinking. Conventional incorporated thinking techniques are not adequate to process substantial ontologies. Disseminated thinking techniques are in this manner required to enhance the adaptability and execution of deductions. They propose an incremental and dispersed induction technique for substantial scale ontologies by utilizing MapReduce, which acknowledges elite thinking …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article
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Investigating the Role of Ontologies to Develop Augmented Intelligence Applications
Abstract: This paper presents about knowledge representation utilizing ontologies to empower augmented intelligence (AUI) for Systems Engineering. Innovation patterns show new strategies and apparatuses for advanced designing will fuse AUI. Machine learning (ML) methods uphold arrangement, bunching, and affiliation distinguishing proof, yet battle to explain the reasoning for dynamic knowledge entities and their crucial representation. Knowledge representation assumes a critical part in applying this kind of Artificial Intelligence (AI). Ontologies equip …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 11–16 Read article
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Real-Time Composition: Its Applications and Educational Potential
Abstract: In this paper, the notion of Real-Time Composition (RTC) is discussed as a practice that has emerged and being consolidated with the increasing use of computationally controllable real-time generative music algorithms. RTC was developed through the use of interactive music systems and is nowadays more or less ubiquitous. The principle of RTC can be also be employed in a performance involving just humans, and parallels between RTC and musical practices …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 33–40 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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An Approach for Managing Data in Cloud Using Resource Description Framework (RDF)
Abstract: Despite of late advances in appropriated Resource Description Framework information administration, handling a lot of RDF information in the cloud is still exceptionally difficult. Many of the original semi-structured data promises, such as flexible structure, optional schema, and rich, adaptable URIs as a basis for information sharing, are poised to be fulfilled by the W3C's Resource Description Framework (or RDF, for short). Furthermore, RDF is in a unique position to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 1, 2022 · pp. 1–10 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article
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Physics, Metaphysics, and the Subtle Sciences: A Dialogue between Indigenous Worldviews and Microvita Theory
Abstract: This paper explores the convergence of physics, metaphysics, and subtle sciences through a comparative analysis of indigenous knowledge systems and P.R. Sarkar’s Microvita Theory. Indigenous worldviews across various cultures articulate a holistic understanding of reality in which consciousness, matter, and life processes are deeply interconnected. These frameworks increasingly resonate with developments in quantum physics and systems theory that challenge classical mechanistic paradigms. Microvita Theory, introduced by P.R. Sarkar, posits the …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 1–13 Read article
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Identification of Hub Genes and Enriched Gene Ontology & Pathways in Idiopathic Pulmonary Fibrosis Through Bioinformatics Approaches
Abstract: Idiopathic Pulmonary Fibrosis (IPF) is a progressive interstitial lung disease marked by aberrant remodeling of lung tissue and excessive extracellular matrix deposition, ultimately leading to respiratory failure. Despite ongoing research, the molecular mechanisms underlying IPF remain incompletely understood. This research aims to uncover differentially expressed genes (DEGs) and related biological pathways through an integrated analysis of microarray data. Two publicly available datasets, GSE110147 and GSE53845, were obtained from the Gene …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 1–13 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article