scispace - formally typeset
Search or ask a question

What is the relation between ontology and linguistics? 


Best insight from top research papers

Ontology and linguistics are closely related fields. Linguistics investigates the structure and properties of language, while ontology deals with the study of existence and the nature of reality. In the context of linguistics, ontology refers to the concepts and categories that are part of every language user's understanding of the world . Linguistic approaches to ontology involve determining which sentences ascribe properties to objects and understanding the role of predicates in sentences . Ontological structures are reflected in both intra- and cross-linguistic regularities, providing insights into how language users conceptualize and cope with the world . Additionally, ontologies can be used in linguistic research to facilitate automatic analysis and semantic search, allowing for the representation and retrieval of linguistic data .

Answers from top 5 papers

More filters
Papers (5)Insight
Open access
Scott Farrar, D. Terence Langendoen 
01 Jan 2003
10 Citations
The paper discusses the use of ontology in linguistics, specifically in the context of the Semantic Web. It argues that an ontology for linguistics can facilitate automatic analysis and semantic search of linguistic data.
The paper does not explicitly mention the relation between ontology and linguistics.
The paper discusses how ontological structures are reflected in linguistic regularities, suggesting that ontology shapes the linguistic coding of concepts.
The paper discusses three competing frameworks for linguistic theory: Platonism, Nominalism, and Cognitivism. It does not explicitly discuss the relation between ontology and linguistics.
Journal ArticleDOI
09 Sep 2021
1 Citations
The paper discusses the prospects of a linguistic approach to ontology, but it does not explicitly mention the relation between ontology and linguistics.

Related Questions

Why is the ontology of a study important?5 answersThe ontology of a study is crucial due to its role in representing knowledge, facilitating information exchange, and enhancing data organization across various domains. Ontologies provide clarity, consistency, and the ability to link information from different sources, making them valuable in fields like biological science, data science, and behavioral science. In the context of smart healthcare in university campuses, ontologies help solve semantic interoperability issues, enabling intelligent recommendations and seamless data integration between different systems. Moreover, in domains like data mining, ontology assists in organizing and classifying objects to maximize new knowledge and improve the data mining process results, showcasing its significance in enhancing research outcomes and knowledge management.
What is an ontology?4 answersAn ontology is a domain of knowledge structured through formal rules so that it can be interpreted and used by computers. It is a model of some aspect of the world that introduces vocabulary relevant to the domain and specifies the meaning of this vocabulary. In the context of research on ontology, philosophers try to answer questions about the nature and organization of being. In the knowledge engineering and artificial intelligence sense, an ontology is a framework for the domain knowledge of an intelligent system. It structures the knowledge and acts as a container for the knowledge, allowing multiple agents to use a common background for sharing knowledge.
What is ontology in research?3 answersOntology in research refers to the organization and classification of knowledge in specific domains, allowing for the maximization of new knowledge at a detailed level. It involves the use of concepts and models to design a framework that can be utilized by various data storage and retrieval applications. Ontologies serve as a bridge between different authorities, facilitating translation and interdisciplinary research. They provide a recognizable language that aids in addressing issues and filling gaps in various fields, such as mental health. In the domain of data mining, ontology plays a crucial role in representing formal knowledge generated during the data mining process. It helps in selecting the appropriate algorithms or technologies to improve the results of data mining. Ontology is a branch of philosophy that examines the nature of scientific knowledge and existence. It explores the relationship between the subject and object of scientific study.
What is the relationship between ontology and epistemology?5 answersOntology and epistemology are closely related concepts. Ontology refers to the study of the nature of being and reality, while epistemology focuses on the nature of knowledge and how it is acquired. These two concepts are intertwined and cannot be considered separately.Eurocentric perspectives have historically positioned Western ways of knowing and being as superior, while relegating non-Western ontologies and epistemologies as inferior. However, many scholars argue that ontology and epistemology co-create each other, and reality is constantly co-created through ongoing relations and interactions.Islamic legal thought also recognizes the interdependence of kalam and jurisprudence, as both disciplines aim to justify religion. The classification of existence as obligatory, possible, and impossible plays a crucial role in understanding religious decrees.While science aims to offer correct information about the world, its claims are always provisional and subject to revision. The history of science shows that our current scientific image of the world may be rejected by future generations.Text reuse in media networks has ontological ramifications, as it influences how we conceptualize the entities and forms of being in the past. It also has epistemological implications, as the material conditions of digitization, metadata problems, and methodological nationalism can bias the results.
What is Ontology in research?4 answersOntology in research refers to the use of a structured framework to organize and classify knowledge in various domains. It allows for the representation and retrieval of information from unstructured data, enabling intelligent decision-making and facilitating the sharing and reuse of data and concepts. Ontologies have been applied in fields such as mental health, data mining, and information science. In the mental health domain, ontologies help address the ambiguity and inconsistencies in terminology, providing a common language for interdisciplinary research. In data mining, ontologies assist in representing formal knowledge and selecting appropriate algorithms or technologies to improve the data mining process. Ontology engineering plays a significant role in information science, with broad application potential in various fields.
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.