How does ontology reflect in research?
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Ontology plays a crucial role in research by shaping researchers' perspectives and knowledge representation. It influences the conceptual views, structures, and knowledge accumulation within a subject area, aiding in the visualization of knowledge schemes and information management. Ontologies help model research artifacts, researcher concepts, relationships between artifacts, and quality evaluation benchmarks, enhancing the understanding and organization of research components. In the context of digital transformation, ontologies facilitate knowledge representation, semantic interoperability, and service-oriented architecture development, contributing to clearer understanding and knowledge inference in organizational processes. Overall, ontology serves as a foundational framework that guides researchers in constructing knowledge, understanding paradigms, and enhancing the effectiveness of educational and research endeavors.
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01 Jan 2019 | Ontologies in research aid knowledge representation, semantic interoperability, and service-oriented architecture in digital transformation processes, enhancing understanding and knowledge inference in various domains. |
5 Citations | Ontology is a popular topic in information science, with significant application potential in various fields. Ontology engineering is crucial for research, reflecting its importance and broad relevance. |
23 Sep 2020 4 Citations | Ontology reflects in research by providing a conceptual view, structuring knowledge, and enabling reuse, visualization, and management of information objects in educational processes. |
| The IRAO ontology models research artifacts, including researcher concepts, artifact classification, meta information, relationships, and quality benchmarks, reflecting the tangible aspects of computing research. | |
2 Citations | Ontology in research reflects the researcher's worldview and beliefs about the nature of reality, influencing how knowledge is constructed and interpreted within different paradigms of inquiry. |
Related Questions
What is Ontology?5 answersOntology, originating from Aristotle's philosophical inquiry, is fundamentally concerned with the nature and organization of being, posing questions about what constitutes existence and the common features shared by all entities. In the realm of computer and information science, ontology has evolved to denote a structured domain of knowledge, governed by formal rules to facilitate interpretation and utilization by computer systems. This adaptation is particularly significant in fields like bioinformatics, where ontologies enable complex queries across gene expression databases and other biological data repositories. The science of ontology extends its examination to the nature of scientific knowledge itself, distinguishing between empirical realities and the rational truths that underpin scientific inquiry, thereby delineating the boundaries of what can be rationally observed and understood.
Ontology's application in technology and knowledge engineering is described as the explicit specification of conceptualization, serving as a foundational body of knowledge for various domains, including web, mining, and multi-agent systems. This philosophical discipline's relevance to computer science was first recognized by John McCarthy in 1980, marking a pivotal shift towards leveraging ontological principles for enhancing conceptual modeling and knowledge engineering within artificial intelligence and database design. The emerging domain of ontology in intelligent decision-making underscores its role in structuring unstructured data, facilitating information retrieval, and promoting data sharing and reuse across different platforms. In biomedical research, ontologies present a shared understanding of domain-specific knowledge, enhancing interoperability and the representation of real-world objects within computer systems. Despite debates over its definition, ontology's utility in knowledge engineering is undeniable, offering insights into the dynamics of conceptual change, vocabulary selection, and collaborative development. Ontological engineering has proven effective in knowledge representation, particularly within the semantic web, enabling sophisticated methodologies for developing ontologies and accessing stored knowledge. Lastly, in the field of Library and Information Science, ontology emerges as a critical tool for organizing the vast expanse of internet-based knowledge, ensuring meaningful information retrieval.
How does reflecting on and acknowledging one's epistemological and ontological positions impact research outcomes?5 answersReflecting on and acknowledging one's epistemological and ontological positions significantly influences research outcomes. This self-reflexivity allows researchers to uncover biases, limitations, and the coloniality of knowledge, leading to a deeper understanding of the research process. By recognizing the epistemological and ontological commitments inherent in research practices, researchers can better navigate the complexities of their work, avoid empty discussions, and promote constructive dialogues within their research communities. Embracing diverse paradigms and engaging in reflexivity can enhance the validity and relevance of research findings, especially in interdisciplinary fields like water research, management studies, and qualitative health research.
What is ontological stance in research?3 answersThe ontological stance in research refers to the researcher's underlying beliefs and assumptions about the nature of reality and knowledge. It involves the researcher's paradigm or worldview, which shapes their ontological and epistemological stance. The ontological stance influences how the researcher constructs knowledge and understands social settings or phenomena. It challenges the idea that reality is objective and can be discovered through quantitative methods. Instead, qualitative research is emphasized for its ability to provide a deep understanding of social contexts from the researcher's perspective. Researchers need to align their ontological perceptions, epistemological stances, and data gathering methods to ensure coherence in their investigations. Understanding and reflecting on the ontological substructures of their studies can help researchers better engage with their research projects.
What is ontology of philosophy?5 answersOntology of philosophy is the study or knowledge about everything that actually exists in the field of philosophy. It examines the structures of things, events, processes, and relations in every aspect of reality. The goal of ontologies is to provide a vision of a specific domain by capturing the domain knowledge and identifying core concepts. In the context of philosophical literature, an ontology of philosophy is designed to aid navigation through philosophical literature, integrate and structure data pertaining to the literature, and support reasoning about the provenance and contents of such literature. It serves as a representation of the philosophical domain, focusing on what philosophical literature is about. Philosophical ontology also aims to solve fundamental problems of human cognition of the natural world by proposing a system of axioms and definitions, and using principles and laws of modern physics as an empirical base.
How does Ontology help research?5 answersOntology helps research by organizing and classifying objects in specific domains, allowing for a more detailed level of knowledge generation. It can assist in choosing the right algorithm or technology to improve the results of the research process in domains such as data mining. Additionally, ontology models can be used to provide personalized feedback and recommendations to students in the form of formative assessments, enhancing their learning process. Furthermore, ontology evaluation tools aid researchers and practitioners in examining the quality of existing ontologies and identifying the most appropriate ones for their needs. These tools also guide future research directions in ontology evaluation. Overall, ontology plays a significant role in research by facilitating knowledge organization, improving research outcomes, and supporting personalized learning and evaluation processes.
What is the definition of “ontology”?5 answersAn ontology is a formal description of knowledge within a specific domain, consisting of concepts and the relationships between them. It is used to facilitate communication, improve collaboration between software systems, and enhance systems engineering. Ontologies model and represent knowledge explicitly, using concepts, relations, and axioms. They offer different levels of expressiveness, from simple languages like RDF to more expressive forms like OWL. An ontology serves as a model of some aspect of the world, introducing relevant vocabulary and specifying the meaning of this vocabulary through formal languages like logic. However, there are differing opinions on the definition of ontology, with some arguing against certain proposed analyses.