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Journal articles on the topic 'Linguistic ontology'

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Published: 30 May 2022
Last updated: 22 June 2025

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1

Dahlgren, Kathleen. "A linguistic ontology." International Journal of Human-Computer Studies 43, no. 5-6 (1995): 809–18. http://dx.doi.org/10.1006/ijhc.1995.1075.

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Boulaalam, Ali, and Nisrine El Hannach. "Arabic Ontology: Linguistic Engineering Foundations." Journal of e-learning Research 2, no. 1 (2023): 29–49. http://dx.doi.org/10.33422/jelr.v2i1.378.

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This scientific intervention aims to raise the issue of the automatic processing of natural languages. Especially at its levels related to ontological studies, enabling the machine to recognize information and invest it accurately, beyond the constraints of semantic ambiguity is considered a scientific challenge. This would not be possible without relying on the contextual detection process of linguistic engineering, which is based on a hybrid approach that combines both statistical and linguistic methods. It is an approach that falls within the context of platform linguistics, or what is termed "fourth-generation linguistics", a natural outgrowth of the digital revolution, based on its horizontal extension in various domains and fields of knowledge, thus establishing a new indicative model in which platforms with linguistic and computer interact. In this context, the associative aspects within the compositional linguistic perceptions are a focal point in operating research operations that fall within the automatic processing of natural language, given the nature of its theoretical and methodological architecture with an empirical inductive basis. It also enables the building of computer platforms by preparing morphological, synthetic, semantic, and pragmatic analyzers. Investing in the advanced technological tools provided by the artificial intelligence system; especially in its aspects related to machine learning, deep learning, and neural network; will enable the provision of a linguistic platform capable of developing paths of teaching the Arabic language to non-native speakers.
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3

Аtаboyеv, Аkhаdjon. "Linguistic ontology and epistemology: modern approaches." Зарубежная лингвистика и лингводидактика 2, no. 2/S (2024): 1–8. http://dx.doi.org/10.47689/2181-3701-vol2-iss2/s-pp1-8.

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This article analyzes the linguistic science of the 20th century, its interaction with the ontology and epistemology of linguistic objects. The author explores the ontological status of objects of linguistic research, raising questions about the nature of these objects: whether they are internal, external, or have both properties. The article offers an overview of contemporary approaches to these issues and their epistemological implications, addressing different positions within the academic debate. The main focus is on the analysis and critical assessment of various theoretical answers proposed in modern linguistics.
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Nelson, R. J. "Essays in Linguistic Ontology." International Studies in Philosophy 18, no. 1 (1986): 85–86. http://dx.doi.org/10.5840/intstudphil198618184.

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5

Abjalova, Manzura. "Linguistic Ontology - Lexical Database." Uzbekistan: language and culture 3, no. 4 (2021): 39–59. http://dx.doi.org/10.52773/tsuull.uzlc.2021.4/pqdn3363.

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The development of modern knowledge-intensive areas of human activity in the world is determined by the growing role of computer tech-nology. Today, the flow of information is growing significantly, and there is a need to find new ways of storing, presenting, formalizing, organizing it as well as automatic processing. Therefore, there is a growing interest in a comprehensive knowledge base that can be used for various practical pur-poses. There is a great need for systems based on neural networks that ex-tract any information from the text without the human factor. In the middle of the twentieth century, along with the World Wide Web, Semantic Web started to appear, which provided additional tags that carried information about the semantics of elements in hypertext pages. An integral part of the semantic web is the concept of ontology, which is a lexical database con-sisting of a network of words.This article analyzes the origin of the term ontology, the ontological views of philosophers, the thesaurus and the concepts of ontology. Factors of creating the thesaurus of information retrieval systems are covered.
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Chiarcos, Christian. "An ontology of linguistic annotations." Journal for Language Technology and Computational Linguistics 23, no. 1 (2008): 1–16. http://dx.doi.org/10.21248/jlcl.23.2008.98.

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MONTIEL-PONSODA, E., G. AGUADO DE CEA, A. GÓMEZ-PÉREZ, and W. PETERS. "Enriching ontologies with multilingual information." Natural Language Engineering 17, no. 3 (2010): 283–309. http://dx.doi.org/10.1017/s1351324910000082.

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AbstractThis paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within the ontology development process, ontology localization has been defined as the activity of adapting an ontology to a concrete linguistic and cultural community. Depending on the ontology layers – terminological and/or conceptual – involved in the ontology localization activity, three heterogeneous multilingual ontology metamodels have been identified, of which we propose one of them. Our proposal consists in associating the ontology metamodel to an external model for representing and structuring lexical and terminological data in different natural languages. Our model has been called Linguistic Information Repository (LIR). The main advantages of this modelling modality rely on its flexibility by allowing (1) the enrichment of any ontology element with as much linguistic information as needed by the final application, and (2) the establishment of links among linguistic elements within and across different natural languages. The LIR model has been designed as an ontology of linguistic elements and is currently available in Web Ontology Language (OWL). The set of lexical and terminological data that it provides to ontology elements enables the localization of any ontology to a certain linguistic and cultural universe. The LIR has been evaluated against the multilingual requirements of the Food and Agriculture Organization of the United Nations in the framework of the NeOn project. It has proven to solve multilingual representation problems related to the establishment of well-defined relations among lexicalizations within and across languages, as well as conceptualization mismatches among different languages. Finally, we present an extension to the Ontology Metadata Vocabulary, the so-called LexOMV, with the aim of reporting on multilinguality at the ontology metadata level. By adding this contribution to the LIR model, we account for multilinguality at the three levels of an ontology: data level, knowledge representation level and metadata level.
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8

Walters, Lee. "V—The Linguistic Approach to Ontology." Proceedings of the Aristotelian Society 121, no. 2 (2021): 127–52. http://dx.doi.org/10.1093/arisoc/aoab004.

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Abstract What are the prospects for a linguistic approach to ontology? Given that it seems that there are true subject-predicate sentences containing empty names, traditional linguistic approaches to ontology appear to be flawed. I argue that in order to determine what there is, we need to determine which sentences ascribe properties (and relations) to objects, and that there does not appear to be any formal criterion for this. This view is then committed to giving an account of what predicates do in sentences when they do not ascribe properties. I sketch an approach to the varieties of predication.
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9

Kim, HyeYoung. "The Linguistic Ontology and Symbolic Affordances." Korean Journal of Philosophy 147 (May 31, 2021): 55–82. http://dx.doi.org/10.18694/kjp.2021.5.147.55.

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Karnaukhov, Igor. "Communicative-linguistic ontology and digital being." Humanities and Social Sciences 99, no. 4 (2023): 30–35. http://dx.doi.org/10.18522/2070-1403-2023-99-4-30-35.

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11

Kravchenko, Alexander V. "The ontology of signs as linguistic and non-linguistic entities." Annual Review of Cognitive Linguistics 1 (November 11, 2003): 179–91. http://dx.doi.org/10.1075/arcl.1.10kra.

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12

Al-Arab, Zeinab E., Ahmed M. Gadallah, and Hesham M. Hefny. "An Enhanced Fuzzy Information Retrieval Model Based on Linguistics." Applied Mechanics and Materials 519-520 (February 2014): 853–56. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.853.

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The paper proposes a linguistic based fuzzy ontology information retrieval model. The model deals with linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.
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Puerto, Eduard, Jose Aguilar, and Tatiana Rodriguez. "Automatic Learning of Ontologies for the Semantic Web: experiment lexical learning." Respuestas 17, no. 2 (2012): 5–12. http://dx.doi.org/10.22463/0122820x.418.

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Resumen Este artículo propone el diseño de un sistema para el aprendizaje automático de ontologías e información léxica (System for Automatic Learning of Ontologies and Lexical Information - SALOX) para un Marco Ontológico Dinámico Semántico para la Web Semántica (Dynamic Semantic Ontological Framework for the Semantic Web – DSOFSW). DSOFSW interpreta consultas en lenguaje natural (español) para la Web, y está compuesta por cinco partes: una ontología lingüística para la gramática del español, un lexicón para la información léxica, una base de datos de hechos sobre el sistema de experiencias, una ontología de tareas para los procesos de análisis lingüísticos, y una ontología interpretativa para el contexto. SALOX integra varios métodos, enfoques y técnicas para la extracción de información, descubrimiento y actualización (pragmática (perfil de usuario, conocimiento de contexto), información léxica y de lingüística semántica, etc.) con el fin de actualizar el conocimiento usado para DSOFSW. SALOX tiene un componente que mapea las fuentes de aprendizaje con los métodos de aprendizaje, y otro que actualiza la ontología lingüística y el lexicón del DSOFSW. Específicamente, en este artículo presentamos el diseño de la unidad de aprendizaje de información léxica. Palabras clave: Procesamiento de lenguaje natural, semántica ontológica, aprendizaje de máquina, aprendizaje ontológico, web semántica.AbstractThis paper proposes the design of a System for Automatic Learning of Ontologies and Lexical Information (SALOX) for the Dynamic Semantic Ontological Framework for the Semantic Web (DSOFSW). DSOFSW interprets query in natural language (Spanish) to the web, and is composed by five parts; a linguistic ontology for the grammar of Spanish, a lexicon for the lexical information, a database of facts about the system experiences, a task ontology for the linguistic analysis process, and an interpretative ontology of the context. SALOX integrates several methods, approaches and techniques for information extraction, discovery and actualization (pragmatic (user profile, context knowledge), lexical and semantic linguistic information, etc.) in order to update the knowledge used for DSOFSW. SALOX has a component to map the sources of learning with the learning methods, and another to update the linguistic ontology and the lexicon of the DSOFSW. Specifically, in this paper we present the design of the learning unit of lexical information. Keywords: Natural language processing, ontological semantic, machine learning, ontological leaning, semantic web.
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14

Kim, Kweon-Yang, and Soo-Yeon Lim. "Building Domain Ontology Based on Linguistic Patterns." Journal of Korean Institute of Intelligent Systems 16, no. 6 (2006): 766–71. http://dx.doi.org/10.5391/jkiis.2006.16.6.766.

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15

MA, Yanqing, Zhuoming CHEN, and Jiajian YAN. "Linguistic ontology knowledge treatment of aphasia dyslexia." Rehabilitation Medicine 26, no. 1 (2016): 47. http://dx.doi.org/10.3724/spj.1329.2016.01.047.

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16

Jackson, Bernard S. "Logic and semiotics: Ontology or linguistic structure?" International Journal for the Semiotics of Law 11, no. 3 (1998): 323–27. http://dx.doi.org/10.1007/bf01110412.

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17

Karnaukhov, I. A. "Linguistic Personality Ontology in the Digital Age." Общество: философия, история, культура, no. 10 (2022): 55–58. http://dx.doi.org/10.24158/fik.2022.10.8.

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18

Namestnikov, A. M., N. D. Pirogova, and A. A. Filippov. "An approach to the automatic linguistic ontology construction to determine the interests of social networks users." Ontology of Designing 11, no. 3 (2021): 351–63. http://dx.doi.org/10.18287/2223-9537-2021-11-3-351-363.

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Social networks provide researchers with the opportunity to obtain an array of text data for further analysis within a certain subject area. Each subject area has its own specific professional vocabulary and writing style. When defining the subject area of text material there is a big problem with building dictionaries, thesauri, and ontologies. In this article a linguistic ontology is considered under ontology and which is aimed to determine the subject area of text material. An algorithm for the automatic construction of an ontology based on the Wikidata knowledge graph is presented. The task is to map a set of objects of the Wikidata knowledge graph to a set of entities of a linguistic ontology. The article pro-poses an algorithm for determining the degree of belonging of the text material to the subject area. Experiments on assessing the time of building an ontology and the applicability of the obtained linguistic ontologies to the problem of determining the degree of belonging of text materials in the subject area have shown: the running time of the algorithm and the number of terms in the formed ontology are directly proportional to the number of analyzed properties and Wikidata objects; the formed linguistic ontology is applicable to the problem of determining the degree of belonging of a text to a subject area
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19

Kots, Tetiana. "Ontology of war and peace in the information space of today." Culture of the Word, no. 90 (2019): 132–49. http://dx.doi.org/10.37919/0201-419x-2019.90.12.

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The article analyzes the philosophical and evaluation paradigm of linguistic means for denoting the concepts of war and peace in the context of present-day Ukraine. The realization of the functional and stylistic potential of language in expressing the socio-political and philosophical opposition of hostile parties in the context of the division of values into their own and othersʼ has been traced in the linguistic and information space. Analyzed vocabulary, precedent units, metaphors, epithets, which are indicative of modern texts of the Means of mass communication and which express the linguistics of the national public consciousness. War in the minds of society is always associated with aggression: destruction, distress, death, and peace with peace, peace, life. Such perception of these phenomena is entrenched in the antonymic ratio of two eternal words of the Ukrainian dictionary war – peace. The basic element of their opposition is the original semantics of the word war, which contains a contradictory feature, which is denied in the definition of peace. The ontology of war and peace in the linguistic and informational texts of today corresponds to the psychological attitudes of society and is a reflection of the current socio-political situation in the country. Around the war and peace as the nuclear concepts of the Means of mass communicationand, a synchronous linguistic-evaluative paradigm is formed, which is an expression of the linguistic-national consciousness, an indicator of the philosophical comprehension of a specific time period of the history of Ukraine in general, and of the functional capabilities of the language in particular.
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Shi-xu. "Linguistics as metaphor: analysing the discursive ontology of the object of linguistic inquiry." Language Sciences 22, no. 4 (2000): 423–46. http://dx.doi.org/10.1016/s0388-0001(00)00015-2.

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21

Antopolskii, Alexander. "About the Creation of a Russian-Language Ontology for Digital Humanities." Izvestiia Rossiiskoi akademii nauk. Seriia literatury i iazyka 82, no. 2 (2023): 22. http://dx.doi.org/10.31857/s160578800025499-4.

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It is proposed to develop a Russian-language ontology for digital humanities as part of the infrastructure of this discipline, which receives organizational registration both in the world and in Russia. The main foreign sources for such an ontology are described. It also describes the Russian projects of recent years in the field of conceptual composition of linguistics and philology in general, which are advisable to use. The formation of the conceptual model of ontology is briefly described. As a technological basis, the Ontolex-Lemon project model is proposed on the platform of a Semantic Network and linguistic linked open data. The necessity of collaboration of various specialists and organizations is emphasized.
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Golev, N. D. "Translative Linguistics: an Aspectualized Review of Initial Provisions. Part 1. Gnoseology of Translation." Bulletin of Kemerovo State University 24, no. 6 (2022): 717–34. http://dx.doi.org/10.21603/2078-8975-2022-24-6-717-734.

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The article introduces translative linguistics as a special branch in the study of natural languages and describes the history of its development. Translative linguistics uses the methods of quantitative linguistics, combinatorial linguistics, associative grammar, lexicography, etc. It focuses on the same aspects of language as historical grammar, phonetics, political linguistics, etc. The ontology of translational linguistics sees the natural language and its units as its research object. Translation (reserve translation, machine translation, and reverse machine translation) acts as a research method that translational linguistics uses to describe the patterns of the translated language. The author reviews various scientific publications to describe the concepts and terms of translational linguistics. The author uses the method of linguistic logic, which is understood as incorporating a new concept in the traditional system of theoretical linguistic concepts.
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23

Tkachenko, Olha, Kostiantyn Tkachenko, and Oleksandr Tkachenko. "Linguistic Ontologies: Designing and Using in the Educational Intellectual Systems." Digital Platform: Information Technologies in Sociocultural Sphere 4, no. 1 (2021): 97–111. https://doi.org/10.31866/2617-796X.4.1.2021.236950.

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The purpose of the article is to investigate and consider the general trends, problems and prospects of designing and using linguistic ontologies in educational intellectual systems. The research methodology consists in semantic analysis methods of the basic concepts in the considered subject area (linguistic ontologies in the educational intellectual systems). The article discusses approaches to the use of linguistic models in modern educational intelligent systems. The novelty of the research is the analysis of the linguistic ontologies use in the educational intellectual systems. Conclusions. A model of linguistic ontology for the domain (disciplines “Computer Networks” and “Modelling Systems”) is presented. This model is used in the development of an educational intellectual system that supports online learning in these disciplines. The proposed model describes a set of relations of linguistic ontology, specially selected to describe the analyzed domain. To ensure these properties, it was proposed to use a small set of relationships. The proposed linguistic ontological model is implemented in an educational intelligent system that supports such disciplines as “Computer Networks” and “Modelling Systems”.
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Menshikova, Anna. "Metaphysics of Language Categories in “Linguistic Kantianism” and Analytical Philosophy." Ideas and Ideals 13, no. 2-2 (2021): 431–44. http://dx.doi.org/10.17212/2075-0862-2021-13.2.2-431-444.

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This paper considers the Kantian philosophical tradition in western language philosophy of the XXth century, describes the ways of its influence and argues the existence of the “Kantian language philosophy tradition” as a continuous stage to be a certain evolutionary line in the history of philosophy. By now one ignores the influence of Kantian philosophy upon “those not pee linguistic turn” and does not esteem I. Kant as a philosopher of language, nor counts his influence in this sphere. The mode of this influence is uncertain and represents various views from synthesis to direct evolution. To discover this issue the author of this paper tries to find a metaphysic core element in language ontology, inherited by the analytic philosophers from I. Kant’s writings; conducts a comparative research of the aforementioned authors’ papers, extracts derived from I. Kant core metaphysical aspect in language ontology and a textological analysis, historical reconstruction. The researchers ignore historical and ontological links between language philosophy, Kantian and the analytical tradition due to a philological development of academic linguistics in the late XIXth – XXth centuries. Following the Kantian tradition in philosophy theories of the analytic philosophers (particularly W. Qwine and P. Strawson) contain the metaphysical core in language ontology, primarily in its syncretic essence of logical, semantic and utterly linguistic categories (i. e. the scheme of concepts, sense, universals, etc.). Syncretism of logical and linguistic essence in terms is also typical for the Kantian philosophy and characterizes the Kantian philosophy to be a source for the linguistic one, and a fully expressed the “Kantian language philosophy tradition”.
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Yatsko, V. A., and T. S. Yatsko. "Distinctive features of the structure of linguistic ontology." Automatic Documentation and Mathematical Linguistics 51, no. 3 (2017): 149–58. http://dx.doi.org/10.3103/s0005105517030128.

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Kachroudi, Marouen, Sami Zghal, and Sadok Ben Yahia. "Using Linguistic Resource for Cross-Lingual Ontology Alignment." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 1, no. 1 (2013): 21. http://dx.doi.org/10.3991/ijes.v1i1.2956.

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27

Pérez, I. J., R. Wikstrm, J. Mezei, C. Carlsson, K. Anaya, and E. Herrera-Viedma. "Linguistic Consensus Models based on a Fuzzy Ontology." Procedia Computer Science 17 (2013): 498–505. http://dx.doi.org/10.1016/j.procs.2013.05.064.

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28

Loundo, Dilip. "Bhartṛhari’s Linguistic Ontology and the Semantics of Ātmanepada". Sophia 54, № 2 (2014): 165–80. http://dx.doi.org/10.1007/s11841-014-0413-5.

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29

Gillam, Lee, Mariam Tariq, and Khurshid Ahmad. "Terminology and the construction of ontology." Terminology 11, no. 1 (2005): 55–81. http://dx.doi.org/10.1075/term.11.1.04gil.

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This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presented is a hybrid of statistical and linguistic techniques, employing statistical techniques initially to elicit a conceptual hierarchy, which is then augmented through linguistic analysis. The result of such an extraction may be useful in information retrieval, knowledge management, or in the discipline of terminology science itself.
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30

Imai, M. "A cross-linguistic study of early word meaning: universal ontology and linguistic influence." Cognition 62, no. 2 (1997): 169–200. http://dx.doi.org/10.1016/s0010-0277(96)00784-6.

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31

Li, Yan Ling, Yi Duo Liang, and Jun Zhai. "Fuzzy Knowledge Representation Based on Fuzzy Linguistic Variable Ontology and SWRL on the Semantic Web." Applied Mechanics and Materials 58-60 (June 2011): 1707–11. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1707.

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Ontology is adopted as a standard for knowledge representation on the Semantic Web, and Ontology Web Language (OWL) is used to add structure and meaning to web applications. In order to share and resue the fuzzy knowledge on the Semantic Web, we propose the fuzzy linguistic variables ontology (FLVO), which utilizes ontology to represent formally the fuzzy linguistic variables and defines the semantic relationships between fuzzy concepts. Then fuzzy rules are described in Semantic Web Rule Language (SWRL) on the basis of FLVO model. Taking a sample case for students’ performance in physics for example, the fuzzy rule management system is built by using the tool protégé and SWRLTab, which shows that this research enables distributed fuzzy applications on the Semantic Web.
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Neji, Mariem, Fatma Ghorbel, Bilel Gargouri, Nada Mimouni, and Elisabeth Métais. "A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge." International Journal of Information Technology and Web Engineering 17, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijitwe.314571.

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The authors propose a semantic and smart assistance framework for handling linguistic knowledge, called LingFramework. It targets both expert and novice users. It aims to assist the user in understanding the different aspects of the linguistic domain and ease the process of proposing lingware applications. LingFramework is based on a multilingual linguistic domain ontology called LingOnto. It allows (1) representing linguistic data, linguistic processing functionalities and linguistic processing features, and (2) reasoning, via a SWRL-based reasoning engine, about the linguistic knowledge. Currently, it covers English, French, and Arabic languages. To facilitate the interaction with LingOnto, an ontology visualization tool called LingGraph is proposed. It offers an easy-to-use interface for users not familiar with ontologies. It provides a SPARQL pattern-based approach to allow a smart search interaction functionality. LingFramework is applied to assist the user in identifying valid linguistic processing pipelines related to lingware applications. The evaluation results are promising.
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Гравин, Артём Андреевич. "Comprehension of Onomatodoxy in Contemporary Russian Linguistic Philosophy." Платоновские исследования 1, no. 16 (2022): 266–85. http://dx.doi.org/10.25985/pi.16.2.13.

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В статье рассматриваются лингвофилософские основания имяславия и выделяются версии основанной на этом явлении онтологии языка. Одной из первых «имяславских» попыток осмысления природы языка осуществил иеросхимонах Антоний Булатович. Онтологически относительно языка он выделял следующие уровни: нетварные «мысли» Бога, тварные идеи, слова человеческого языка. Систематическое построение онтологии имени осуществлялось русскими религиозными философами (Флоренский, Булгаков, Лосев) и основывалось на интуициях апологетов (Булатович, Муретов, Новоселов). В статье также описываются на основании осмысления имяславия представителями современной отечественной лингвофилософии (Гоготишвили, Постовалова, Резниченко) различные версии онтологии языка, отличающиеся границей употребления языка (от чувственных слов до нетварной реальности), широтой лингвистической иерархии (наличие/отсутствие «идеальных» языков), статусом коммуникативного «я» по отношению к языку (присутствие/отсутствие). При этом показано, что более «высокий» онтологический статус первоязыка (вплоть до нетварных божественных реалий) подразумевает более высокий коммуникативный потенциал версии онтологии имени. Это позволяет установить не только особенности онтологии имени в том или ином подходе к имяславию, но и зафиксировать его прагматическое и коммуникативное измерения (в религиозной перспективе - лингвофилософское измерение молитвы). This article discusses the linguo-philosophical foundations of onomatodoxy and identifies versions of the ontology of language based on this phenomenon. One of the first onomatodoxic attempts to comprehend the nature of language was carried out by Hieroschemamonk Anthony Bulatovich. Ontologically, in respect to language, he singled out the following levels: God’s uncreated “thoughts”, created ideas, words of the human language. The systematic construction of the ontology of name was carried out by Russian religious philosophers (Florensky, Bulgakov, Losev) and was based on the intuitions of apologists (Bulatovich, Muretov, Novoselov). Based on contemporary Russian linguistic philosophy representatives’ understanding of onomatodoxy (Gogotishvili, Postovalova, Reznichenko), the article describes various versions of language ontology, which differ in respect of the scope of language use (from sensual words to uncreated reality), the breadth of linguistic hierarchy (presence/absence of “ideal” languages), and the status of the communicative “I” in relation to language (presence/absence). At the same time, it is shown that a “higher” ontological status of the first language (up to uncreated divine realities) implies a higher communicative potential of the relevant version of name ontology. This allows us to establish not only the features of the name ontology in one or another approach to onomatodoxy, but also to fix its pragmatic and communicative dimensions (in a religious perspective, it is the linguo-philosophical dimension of prayer).
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34

Cowley, Stephen J. "Languaging and Practices: Intimations of a Singular Ontology." Linguistic Frontiers 7, no. 1 (2024): 1–15. http://dx.doi.org/10.2478/lf-2024-0007.

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Abstract The paper rejects both mentalism and reduction of the trait of Language (capital L) to linguistic phenomena. What is termed lingualism is replaced by tracing wordings to practices that unite metabolism, coordinative activity and linguistic history. Like other partly cultural, partly natural traits (e.g. grazing), languaging enacts modelling (Sebeok 1988). In Yu’s (2021) terms, it extends how supersession informs morphogenesis, agency, sensing and acting. Having challenged lingualism, one deflates reports of experience. Appeal to practices and ontologies (not ontology) posit linguistic ‘objects’ or, in Sellars’s terms, versions of the Myth of the Given. With Sellars, therefore, I rethink the analytic/synthetic divide around the normative power of languaging. On such a view, practices, nonhumans and humans co-evolve with manifest and scientific modes of acting that are constituted by unknowable singular ontology. Knowing is inextricable from languaging and how the resources of cultural modelling are rendered and grasped by using the (simplexifying) powers of living human beings.
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Borgo, Stefano, Roberta Ferrario, Aldo Gangemi, et al. "DOLCE: A descriptive ontology for linguistic and cognitive engineering1." Applied Ontology 17, no. 1 (2022): 45–69. http://dx.doi.org/10.3233/ao-210259.

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dolce, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, and is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources (e.g. CIDOC CRM, DBpedia and WordNet). Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases.
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Haukioja, Jussi. "Grammaticality, response-dependence and the ontology of linguistic objects." Nordic Journal of Linguistics 23, no. 1 (2000): 3–25. http://dx.doi.org/10.1080/033258600750045750.

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The problem of explaining the knowledge possessed by a native speaker of a natural language and the philosophical problem of rule-following are juxtaposed, and the former is seen to be an instance of the latter. A recent solution to the rule-following problem is reviewed, with special attention to the consequences that the solution has for the nature of those concepts acquired from exemplars. The concept of a grammatical sentence is one of these. Finally, it is shown that, as a consequence, we can see the grammaticality of a sentence to be an abstract property, which is simultaneously objective and tied to the responses of competent speakers. Thus, we gain a better understanding of some central questions in the philosophy of linguistics.
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Llorente, Carlota García. "The Ontology of Natural Language(s) and Linguistic Relativity." Forum Philosophicum 29, no. 2 (2024): 293–315. https://doi.org/10.35765/forphil.2024.2902.04.

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Despite the fact that natural language has always been one of the most important resources for the study of ontology, many authors continue to regard it as a deceptive guide to the inquiry into what there is. The notion of natural language as a trap is carried over into contemporary metaontological studies, which typically reject natural language as ontologically committing. From a deflationary perspective, this paper aims to argue that ontological commitment occurs in natural languages, with implications for the linguistic relativity hypothesis. To this end, a view based on naturalized epistemology and other aspects of Quine’s philosophy is presented. The perspective of Natural Language Ontology proposed by Moltmann is also introduced, with the goal of offering a new approach that allows a specific analysis of the ontological commitments of natural languages. While Moltmann herself indicates some motivations for this, its potential attractiveness for the study of linguistic relativity will be emphasized here. Finally, it will be suggested that there may be a linguistic bias around the proposed criteria of ontological commitment.
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Pirrò, Giuseppe, and Domenico Talia. "LOM: a linguistic ontology matcher based on information retrieval." Journal of Information Science 34, no. 6 (2008): 845–60. http://dx.doi.org/10.1177/0165551508091014.

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Bateman, John A., Joana Hois, Robert Ross, and Thora Tenbrink. "A linguistic ontology of space for natural language processing." Artificial Intelligence 174, no. 14 (2010): 1027–71. http://dx.doi.org/10.1016/j.artint.2010.05.008.

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Torrens-Urrutia, Adrià, Vilém Novák, and María Dolores Jiménez-López. "Describing Linguistic Vagueness of Evaluative Expressions Using Fuzzy Natural Logic and Linguistic Constraints." Mathematics 10, no. 15 (2022): 2760. http://dx.doi.org/10.3390/math10152760.

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In recent years, the study of evaluative linguistic expressions has crossed the field of theoretical linguistics and has aroused interest in very different research areas such as artificial intelligence, psychology or cognitive linguistics. The interest in this type of expressions may be due to its relevance in applications such as opinion mining or sentiment analysis. This paper brings together Fuzzy Natural Logic and Fuzzy Property Grammars to approach evaluative expressions. Our contribution includes the marriage of mathematical and linguistic methods for providing a formalism to deal with the linguistic vagueness of evaluative expressions by describing the syntax and semantics of these structures. We contribute to the study of evaluative linguistic expressions by proposing a formal characterization of them where the concepts of semantic prime, borderline evaluative expressions and markedness are defined and where the relation between the semantic constraints of evaluations and their sentiment can be established. A proof-of-concept of how to create a lexicon of evaluative expressions for future computational applications is presented. The results demonstrate that linguistic evaluative expressions are gradient, have sentiment, and that the evaluations work as a relation of hypernym and hyponym, the hypernym being a semantic prime. Our findings provide the basis for building an ontology of evaluative expressions for future computational applications.
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ABDULLAEVA, Gulbahor Nuriddinovna. "CONCEPT OF "DEVOTION": SEMANTIC, COGNITIVE, LINGUOCULTURAL APPROACH." American Journal of Philological Sciences 4, no. 10 (2024): 141–46. http://dx.doi.org/10.37547/ajps/volume04issue10-22.

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The choice of anthropocentric linguistics as a scientific paradigm is due to the inclusion of the studied problems in the study of the semiosphere of the inner world of man, which is one of the priorities of modern research. In modern linguistics, it becomes relevant to understand and describe the linguistic ontology of the concept of “loyalty” to the fullest extent possible, to identify and form the conceptual properties of the concept, to characterize its objective structure as a moral concept.
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Golev, Nikolai Danilovich, and Victoria Sergeevna Melnikova. "Translatability and understandability as intrinsic properties of linguistic units (ontological aspects of translation linguistics)." Philology. Theory & Practice 18, no. 4 (2025): 1585–96. https://doi.org/10.30853/phil20250225.

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The aim of this research is to systematically organize contemporary theoretical concepts that explore the ontological aspects of translatability and understandability, with a focus on identifying their interconnections with the interpretability of linguistic units. The article analyzes Russian linguistic works devoted to the ontological aspects of translation linguistics, predominantly in the Russian language. The scientific novelty of the article lies in the first identification and systematization of key aspects of the ontology of translation, which previously have not received comprehensive consideration within translation linguistics, and in the proposed inclusion of an ontological approach into the methodology of translation linguistics. Based on the analysis of linguistic studies, the authors formulate original conclusions and propositions, substantiate the concept of translative space, and propose a classification of the mechanisms of translative functioning of linguistic units. The results obtained show that translatability correlates with text understandability and can serve as its marker. The proposition about the translative functioning of language as a special format of speech activity, generating translative micro-fields, is substantiated. This allows us to view language as part of a global interlingual space, where each unit possesses the potential for variable interlingual representation.
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Tkachenko, Olha, Kostiantyn Tkachenko, and Oleksandr Tkachenko. "Linguistic Ontologies: Designing and Using in the Educational Intellectual Systems." Digital Platform: Information Technologies in Sociocultural Sphere 4, no. 1 (2021): 97–111. http://dx.doi.org/10.31866/2617-796x.4.1.2021.236950.

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The purpose of the article is to investigate and consider the general trends, problems and prospects of designing and using linguistic ontologies in educational intellectual systems. The research methodology consists in semantic analysis methods of the basic concepts in the considered subject area (linguistic ontologies in the educational intellectual systems). The article discusses approaches to the use of linguistic models in modern educational intelligent systems. The novelty of the research is the analysis of the linguistic ontologies use in the educational intellectual systems. Conclusions. A model of linguistic ontology for the domain (disciplines “Computer Networks” and “Modelling Systems”) is presented. This model is used in the development of an educational intellectual system that supports online learning in these disciplines. The proposed model describes a set of relations of linguistic ontology, specially selected to describe the analyzed domain. To ensure these properties, it was proposed to use a small set of relationships. The proposed linguistic ontological model is implemented in an educational intelligent system that supports such disciplines as “Computer Networks” and “Modelling Systems”.
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Dong, Sicong, Yike Yang, He Ren, and Chu-Ren Huang. "Directionality of Atmospheric Water in Chinese: A Lexical Semantic Study Based on Linguistic Ontology." SAGE Open 11, no. 1 (2021): 215824402098829. http://dx.doi.org/10.1177/2158244020988293.

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Why are fog, dew, and frost said to “fall” in some languages when they don’t in the physical world? We explore this seeming infelicity to study the nature of linguistic conceptualization. We focus on variations and changes of the morphosemantic behaviors of weather words in Mandarin and other Sinitic languages with an interdisciplinary approach to establish links between linguistic expressions and scientific facts. We propose that this use of directionality is the result of conventionalization of Chinese people’s inference from shared daily experience, and is well motivated in terms of a linguistic ontology that reflects a scientific account of natural phenomena. We further demonstrate that the semantically relevant orthography shared by Chinese speakers can be directly mapped to Hantology, a formal linguistic ontology based on Suggested Upper Merged Ontology (SUMO). In this mapping, the radical 雨 yǔ “rain,” derived from the ideograph of “rain” to represent atmospheric water, provides crucial clues to the use of directional verbs and the parts of speech of weather words. Our findings also lend support to language-based reconstruction of traditional ecological knowledge (TEK) and lay foundation for TEK research in the Sinosphere.
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Browarnik, Abel, and Oded Maimon. "Ontology Learning from Text." International Journal of Signs and Semiotic Systems 4, no. 2 (2015): 1–14. http://dx.doi.org/10.4018/ijsss.2015070101.

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The goal of Ontology Learning from Text is to learn ontologies that represent domains or applications that change often. Manually learning and updating such ontologies is too expensive. This is the reason for the Ontology Learning discipline's emergence. The leading approach to Ontology Learning from Text is the Ontology Learning Layer Cake. This approach splits the task into four or five sequential tasks. Each of the tasks may use diverse methods, ranging from uses of Linguistic knowledge to Machine Learning. The authors review the shortcomings of the Ontology Learning Layer Cake approach and conclude that the approach is not viable for Ontology Learning from Text. They suggest alternative approaches that may help learning ontologies in an efficient, effective way.
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Liang, Zhaowei, and Wenzhou Shu. "Ethical Reconstruction of Linguistic Signs: An Ethical Study of Machine Translation Based on Linguistic Ontology." Journal of Literature & Language 1, no. 1 (2025): 66–75. https://doi.org/10.71204/859k3b53.

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This study confronts the ethical crisis in machine translation (MT) caused by the systematic erosion of cultural semantics and symbolic integrity. While current MT systems achieve high technical performance (e.g., 72.3 BLEU scores in WMT2022), they fail to preserve cultural-contextual nuances, with 34.8% mistranslation rates for culturally loaded terms and 73% semantic reduction for low-resource language symbols. Through deconstructive analysis of Saussure’s arbitrariness principle and Wittgenstein’s language game theory, we demonstrate how algorithmic compression of dynamic semantic networks into unidirectional referential chains perpetuates symbolic violence, exemplified by the 89% loss of Confucian ethical dimensions in translating Chinese ren (benevolence) and 82% erasure of spiritual connotations in Arabic jihad. To address these issues, we propose the Symbolic Ethics Sensitivity Assessment Model (SESAM), a tripartite framework evaluating cultural fidelity, symbolic violence reduction, and ethical risk mitigation on a 0-5 scale. Validated in Meta’s No Language Left Behind project, SESAM increases cultural metaphor retention by 23.6% while maintaining translation efficiency. By integrating Peircean semiotics with computational linguistics, we construct a Cultural Semantic Vector Space using GloVe embeddings, resolving 93% of Traditional Chinese Medicine concept mapping failures. The study further develops the Linguistic Ethics Entropy (LEE) index, benchmarked at ≤0.23 for EU AI Act compliance, as the first quantitative metric for ethical MT. Our findings reveal three advancements: 1) semiotic topology exposing 47:1 corpus imbalance-induced cultural hegemony, 2) Ambiguity Markup Language (AML) reducing medical translation risks by 40%, and 3) an ontological framework reconciling Heideggerian linguistic essence with algorithmic probability through Derrida’s différance-encoded architectures. These interdisciplinary innovations bridge translation ethics, philosophy, and AI, offering actionable solutions for cultural DNA preservation and equitable cross-linguistic communication.
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Zhai, Jun, Jian Feng Li, and Yan Chen. "Knowledge Modeling of Product Data Based on Fuzzy Ontology." Applied Mechanics and Materials 26-28 (June 2010): 347–51. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.347.

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Ontology is the basis of knowledge modeling on the Semantic Web, and fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. Ontology-base knowledge modeling of product data management (PDM) is meaningful for product design and trade etc. In order to handle fuzzy phenomenon and uncertainty of product knowledge, this paper proposes a series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of properties. The application, which uses fuzzy ontology to model product knowledge, shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and reuse for PDM on the Semantic Web.
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48

Georgievа, Mariana. "Syntax as a Language Ontology." Chuzhdoezikovo Obuchenie-Foreign Language Teaching 48, no. 6 (2021): 563–66. http://dx.doi.org/10.53656/for21.61synt.

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In our opinion, * `logical basis` and *` syntactic basis` are incorrect from a cognitive point of view. The subjunctive is a syntactic category and the qualification `logical` is an oxymoron, or at least a dissonance. In logic, the category is the subject. And since the subjunctive is the syntactic category, even more disturbing is the tautological * `syntactic subjunctive`. The article substantiates the cognitive reading of the substratum. What is new is the derivation of linguistic ontology as a category of the cognitive method in syntax, of cognitive syntax.
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Jean, Stéphane, Yamine Aït-Ameur, and Guy Pierra. "OntoQL: An Alternative to Semantic Web Query Languages." International Journal of Semantic Computing 09, no. 01 (2015): 105–37. http://dx.doi.org/10.1142/s1793351x1550004x.

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Ontologies are used in several application domains for representing knowledge. The defined approaches differ according to the type of addressed ontology (conceptual or linguistic) and to the used ontology model (e.g. OWL or PLIB). Several languages have been proposed to manipulate ontologies and their instances, especially in the Semantic Web domain. However these languages are often specific to a given ontology model, they focus on conceptual ontologies and they are not compatible with database exploitation languages. We address these three problems in this paper by proposing the OntoQL language. This language has three main original characteristics: (1) OntoQL is based on a core ontology model composed of the shared constructors of ontology models. This core ontology model can be extended by the language itself, (2) OntoQL queries can be expressed with different natural languages features using the linguistic layer of an ontology, and (3) OntoQL is fully compatible with SQL enabling a smooth integration between SQL queries of classical database applications and ontological queries. As a theoretical validation of this language, we present the algebra of operators that sets up its formal semantics. On the operational side, we describe the implementation of OntoQL on the OntoDB database and we illustrate the interest of this language by reporting several applications where this language has been extensively used and proved powerful.
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Fouzia, Nadeem, MUHAMMAD ARSHAD AWAN, Tariq Muhammad, and Khaleeq Danish. "Developing an Arabic-Urdu Ontology of Quranic Concepts: A Semantic Approach." International Journal of Innovations in Science & Technology 7, no. 1 (2025): 637–50. https://doi.org/10.5281/zenodo.15496806.

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An Arabic-Urdu ontology system dedicated to Quranic concepts represents a necessity for protecting the semantic value and making religious texts more accessible during Quranic study. Ontology-driven annotation tools show their ability to achieve precise translations and thematic searches by establishing their effects on the translation process. Researchers built this ontology using Protégé 5.6.4 which classifies Quranic concepts into twelve specific sections from Corpus.quran.com: Artifact, Astronomical Body, Event, False Deity, Holy Book, Language, Living Creation, Location, Physical Attribute, Physical Substance, Religion and Weather Phenomena. Validation of the ontology included expert evaluation and a HermiT computational assessment that led to user testingand an accuracy rate of 89.31%. The system uses SPARQL queries as a method to achieve both organized and efficient retrieval of Quranic knowledge. The analysis emphasizes the value of ontological structures as a means to connect Arabic and Urdu semantics which then improves both Quranic interpretation and computational linguistic understanding. While the methodology effectively maps Quranic concepts, challenges such as language nuances and theological precision persist, requiring further advancements in machine learning and natural language processing. Future research should focus on expanding ontology categories, integrating AI-based models, and enhancing phonetic mappings to improve the ontology’s adaptability and usability in diverse linguistic and cultural settings.
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