Relevant bibliographies by topics / Ontology-based

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ontology-based'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Ontology-based"

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Abdullah, Noryusliza, and Rosziati Ibrahim. "Application-Based Ontology Engineering." International Journal of Future Computer and Communication 3, no. 3 (2014): 177–81. http://dx.doi.org/10.7763/ijfcc.2014.v3.291.

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Zhu, Linli, Yu Pan, Mohammad Reza Farahani, and Wei Gao. "Graph Laplacian Based Ontology Regularization Distance Framework for Ontology Similarity Measuring and Ontology Mapping." Journal of Computational Mathematica 1, no. 1 (2017): 88–98. http://dx.doi.org/10.26524/cm6.

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Ma, Yinglong, Shaohua Liu, Beihong Jin, and Gang Xu. "Inconsistent ontology revision based on ontology constructs." Expert Systems with Applications 37, no. 10 (2010): 7269–75. http://dx.doi.org/10.1016/j.eswa.2010.04.001.

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Schuurman, Nadine, and Agnieszka Leszczynski. "Ontology-Based Metadata." Transactions in GIS 10, no. 5 (2006): 709–26. http://dx.doi.org/10.1111/j.1467-9671.2006.01024.x.

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Mecca, Giansalvatore, Guillem Rull, Donatello Santoro, and Ernest Teniente. "Ontology-based mappings." Data & Knowledge Engineering 98 (July 2015): 8–29. http://dx.doi.org/10.1016/j.datak.2015.07.003.

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Djuric, Dragan. "MDA-based ontology infrastructure." Computer Science and Information Systems 1, no. 1 (2004): 91–116. http://dx.doi.org/10.2298/csis0401091d.

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The paper presents Ontology Definition Metamodel (ODM) and Ontology UML Profile that enables using Model Driven Architecture (MDA) standards in ontological engineering. Other similar metamodels are based on ontology representation languages, such as RDF(S), DAML+OIL, etc. However, none of these other solutions uses the recent W3C effort-The Web Ontology Language (OWL). In our approach, we firstly define the ODM and Ontology UML Profile place in the context of the MDA four-layer architecture and identify the main OWL concepts. Then, we define ODM using Meta-Object Facility (MOF). The relations
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Čerba, Otakar, Sarah Velten, Jan Macura, and Viktorie Sloupová. "Ontology-based Web Map." Abstracts of the ICA 5 (September 14, 2022): 1. http://dx.doi.org/10.5194/ica-abs-5-117-2022.

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Umar, Amjad, and Ramesh Subbaraman. "Ontology-Based Network Planning." International Journal of Business Data Communications and Networking 4, no. 3 (2008): 31–51. http://dx.doi.org/10.4018/jbdcn.2008070102.

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Batet, Montserrat. "Ontology-based semantic clustering." AI Communications 24, no. 3 (2011): 291–92. http://dx.doi.org/10.3233/aic-2011-0501.

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Carbonaro, Antonella. "Ontology-based video retrieval." International Journal of Digital Culture and Electronic Tourism 1, no. 4 (2009): 302. http://dx.doi.org/10.1504/ijdcet.2009.025357.

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Dissertations / Theses on the topic "Ontology-based"

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Zamazal, Ondřej. "Pattern-based Ontology Matching and Ontology Alignment Evaluation." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77051.

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Ontology Matching is one of the hottest topic within the Semantic Web of recent years. There is still ample of space for improvement in terms of performance. Furthermore, current ontology matchers mostly concentrate on simple entity to entity matching. However, matching of whole structures could bring some additional complex relationships. These structures of ontologies can be captured as ontology patterns. The main theme of this thesis is an examination of pattern-based ontology matching enhanced with ontology transformation and pattern-based ontology alignment evaluation. The former is exami
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Batet, Sanromà Montserrat. "Ontology based semantic clustering." Doctoral thesis, Universitat Rovira i Virgili, 2011. http://hdl.handle.net/10803/31913.

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Els algoritmes de clustering desenvolupats fins al moment s’han centrat en el processat de dades numèriques i categòriques, no considerant dades textuals. Per manegar adequadament aquestes dades, es necessari interpretar el seu significat a nivell semàntic. En aquest treball es presenta un nou mètode de clustering que es capaç d’interpretar, de forma integrada, dades numèriques, categòriques i textuals. Aquest últims es processaran mitjançant mesures de similitud semàntica basades en 1) la utilització del coneixement taxonòmic contingut en una o diferents ontologies i 2) l’estimació de la dist
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Yuee, Liu. "Ontology-based image annotation." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/39611/1/Liu_Yuee_Thesis.pdf.

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With regard to the long-standing problem of the semantic gap between low-level image features and high-level human knowledge, the image retrieval community has recently shifted its emphasis from low-level features analysis to high-level image semantics extrac- tion. User studies reveal that users tend to seek information using high-level semantics. Therefore, image semantics extraction is of great importance to content-based image retrieval because it allows the users to freely express what images they want. Semantic content annotation is the basis for semantic content retrieval. The aim of im
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Heravi, Bahareh Rahmanzadeh. "Ontology-based information standards development." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6267.

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Standards may be argued to be important enablers for achieving interoperability as they aim to provide unambiguous specifications for error-free exchange of documents and information. By implication, therefore, it is important to model and represent the concept of a standard in a clear, precise and unambiguous way. Although standards development organisations usually provide guidelines for the process of developing and approving standards, they are usually more concerned with administrative aspect of the process. As a consequence, the state-of-the-art lacks practical support for developing the
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Town, Christopher Phillip. "Ontology based visual information processing." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614908.

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Prabowo, Rudy. "Ontology-based automatic text classification." Thesis, University of Wolverhampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418665.

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This research investigates to what extent ontologies can be used to achieve an accurate classification performance of an automatic text classifier, called the Automatic Classification Engine (ACE). The task of the classifier is to classify Web pages with respect to the Dewey Decimal Classification (DOC) and Library of Congress Classification (LCC) schemes. In particular, this research focuses on how to 1. build a set of ontologies which can provide a mechanism to enable machine reasoning; 2. define the mappings between the ontologies and the two classification schemes; 3. implement an ontology
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Krisnadhi, Adila Alfa. "Ontology Pattern-Based Data Integration." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1453177798.

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Mutharaju, Raghava. "Distributed Rule-Based Ontology Reasoning." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1472534764.

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Hu, Wenyang. "Ontology-based Web informatics system." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000129.

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Thesis (M.E.)--University of Florida, 2002.<br>Title from title page of source document. Document formatted into pages; contains viii, 55 p.; also contains graphics. Includes vita. Includes bibliographical references.
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El, Husseini Wafaa. "Efficient ontology-based data management." Electronic Thesis or Diss., Université de Rennes (2023-....), 2023. https://ged.univ-rennes1.fr/nuxeo/site/esupversions/afaf2edb-f3f2-4765-b1e1-9c960c6a60b4.

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Répondre à des requêtes à l'aide d'ontologies (OMQA) consiste à poser ces requêtes sur des bases de connaissances (KB). Une KB est un ensemble de faits (base de données), qui est décrit par un domaine de connaissance (ontologie). La technique OMQA la plus étudiée est la réécriture FO (FO-rewriting); elle consiste à reformuler une requête pour y intégrer les connaissances pertinentes de l'ontologie, avant de poser la sur la base de données. Telles reformulations peuvent alors être complexes et leur optimisation est cruciale pour l'efficacité. Nous élaborons un nouveau cadre d'optimisation pour
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Books on the topic "Ontology-based"

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Paulheim, Heiko. Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8.

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service), SpringerLink (Online, ed. Ontology-based Application Integration. Springer Science+Business Media, LLC, 2011.

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Hadzic, Maja, Pornpit Wongthongtham, Tharam Dillon, and Elizabeth Chang. Ontology-Based Multi-Agent Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01904-3.

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Cimiano, Philipp, Christina Unger, and John McCrae. Ontology-Based Interpretation of Natural Language. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-02154-1.

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Simari, Gerardo I., Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, and Livia Predoiu. Ontology-Based Data Access Leveraging Subjective Reports. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65229-0.

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Antonio, Zilli, ed. Semantic knowledge management: An ontology-based framework. Information Science Reference, 2009.

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Babkin, Eduard, and Boris Ulitin. Ontology-Based Evolution of Domain-Oriented Languages. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-42202-7.

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Mena, Eduardo, and Arantza Illarramendi. Ontology-Based Query Processing for Global Information Systems. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1441-1.

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Arantza, Illarramendi, ed. Ontology-based query processing for global information systems. Kluwer Academic Publishers, 2001.

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Mena, Eduardo. Ontology-Based Query Processing for Global Information Systems. Springer US, 2001.

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Book chapters on the topic "Ontology-based"

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Hinkelmann, Knut, Emanuele Laurenzi, Andreas Martin, and Barbara Thönssen. "Ontology-Based Metamodeling." In Business Information Systems and Technology 4.0. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74322-6_12.

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Andreasen, Troels, Jørgen Fischer Nilsson, and Hanne Erdman Thomsen. "Ontology-Based Querying." In Flexible Query Answering Systems. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1834-5_2.

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Paulheim, Heiko. "Ontology-based System Integration." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_3.

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Paulheim, Heiko. "Introduction." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_1.

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Paulheim, Heiko. "Improving Information Exploration." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_10.

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Paulheim, Heiko. "Towards End-user User Interface Integration." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_11.

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Paulheim, Heiko. "Conclusion and Outlook." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_12.

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Paulheim, Heiko. "Application Integration on the User Interface Level." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_2.

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Paulheim, Heiko. "Ontologies in User Interface Development." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_4.

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Paulheim, Heiko. "A Framework for User Interface Integration." In Ontology-based Application Integration. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1430-8_5.

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Conference papers on the topic "Ontology-based"

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Kaushik, Priyanka, Priyanka Rawat, Abhishek Kumar Gupta, Chithra A. S, Ajay Kumar, and Reeya Ottalwar. "Ontology Based Recommendation System." In 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE). IEEE, 2024. https://doi.org/10.1109/aece62803.2024.10911173.

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Admojo, Fadhila Tangguh, Adidah Lajis, and Haidawati Nasir. "Indonesian Linguistic Ontology for Enhancing Ontology-Based Indonesian Question-Answering Systems." In 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2025. https://doi.org/10.1109/imcom64595.2025.10857509.

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Weinstein, Peter C. "Ontology-based metadata." In the third ACM conference. ACM Press, 1998. http://dx.doi.org/10.1145/276675.276706.

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Al Parvez, Abdullah, Markus Stumptner, Adrian Barbulescu, and Haibin Liu. "Ontology-based conceptual payload design — Requirements Ontology." In 2012 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2012. http://dx.doi.org/10.1109/iscit.2012.6380986.

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Sun, Tieli, Fengqin Yang, Dapeng Zhang, and Lin Yang. "Ontology Building Based on Two-layer Ontology Model." In 2012 International Conference on Industrial Control and Electronics Engineering (ICICEE). IEEE, 2012. http://dx.doi.org/10.1109/icicee.2012.392.

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Ameri, Farhad, and Boonserm Kulvatunyou. "Modeling a Supply Chain Reference Ontology Based on a Top-Level Ontology." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98278.

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Abstract Several supply-chain ontologies have been introduced in the past decade with the promise of enabling supply chain interoperability. However, the existing supply-chain ontologies have several gaps with respect to completeness, logical consistency, domain accuracy, and the development approach. In this work, we propose a new, supply-chain, reference ontology that is 1) based on an existing top-level ontology and 2) developed using a collaborative, ontology-development, best practice. We chose this approach because empirical studies have shown the usefulness of adopting a top-level ontol
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Kim, Minhwan, Jongmo Kim, Kunyoung Kim, and Mye Sohn. "Ontology-aided Word2vec based Synonym Identification for Ontology Alignment." In 2020 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2020. http://dx.doi.org/10.1109/bigcomp48618.2020.00-35.

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Luong, Hiep Phuc, Susan Gauch, and Qiang Wang. "Ontology-Based Focused Crawling." In 2009 International Conference on Information, Process, and Knowledge Management (eKNOW). IEEE, 2009. http://dx.doi.org/10.1109/eknow.2009.26.

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Breitman, Karin K., Daniela Brauner, Marco Antonio Casanova, Ruy Milidi, Alexandre Gazola, and Marcelo Perazolo. "Instance-Based Ontology Mapping." In 2008 5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems (EASe 2008). IEEE, 2008. http://dx.doi.org/10.1109/ease.2008.18.

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Kim, Jangwon, Sukhoon Lee, Dongwon Jeong, and Doo-Kwon Baik. "Ontology-Based Negotiation Model." In 2011 9th International Conference on Software Engineering Research, Management and Applications (SERA). IEEE, 2011. http://dx.doi.org/10.1109/sera.2011.20.

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Reports on the topic "Ontology-based"

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Braun, Ronald. Ontology-Based Information Extraction from Free-Form Text. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383044.

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Lashkov, Igor, Alexey Kashevnik, and Andrey Ronzhin. Ontology-based Personalisation for Online Driver Monitoring by Smartphone. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.05.13.

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Echterhoff, Johannes, ed. OGC Testbed-14: Application Schema-based Ontology Development Engineering Report. Open Geospatial Consortium, Inc., 2019. http://dx.doi.org/10.62973/18-032r2.

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Aragones, Amy, Jeanette Bruno, Andrew Crapo, and Marc Garbiras. An Ontology-Based Architecture for Adaptive Work-Centered User Interface Technology. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada445885.

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Tarasenko, Roman A., Viktor B. Shapovalov, Stanislav A. Usenko, et al. Comparison of ontology with non-ontology tools for educational research. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4432.

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Providing complex digital support for scientific research is an urgent problem that requires the creation of useful tools. Cognitive IT-platform Polyhedron has used to collect both existing informational ontology- based tools, and specially designed to complement a full-stack of instruments for digital support for scientific research. Ontological tools have generated using the Polyhedron converter using data from Google sheets. Tools “Search systems”, “Hypothesis test system”, “Centre for collective use”, “The selection of methods”, “The selection of research equipment”, “Sources recommended b
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Kogut, Paul. DARPA Agent Markup Language (DAML) Unified Modeling Language (UML)-Based Ontology Toolset (UBOT). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440653.

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Koopmann, Patrick, and Jieying Chen. Deductive Module Extraction for Expressive Description Logics (Extended Version). Technische Universität Dresden, 2020. http://dx.doi.org/10.25368/2022.262.

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In deductive module extraction, we determine a small subset of an ontology for a given vocabulary that preserves all logical entailments that can be expressed in that vocabulary. While in the literature stronger module notions have been discussed, we argue that for applications in ontology analysis and ontology reuse, deductive modules, which are decidable and potentially smaller, are often sufficient. We present methods based on uniform interpolation for extracting different variants of deductive modules, satisfying properties such as completeness, minimality and robustness under replacements
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Guizzardi, Giancarlo, Luis Ferreira Pires, and Marten van Sinderen. An Ontology-Based Approach for Evaluating the Domain Appropriateness and Comprehensibility Approprateness of Modeling Languages. University of Twente, Centre for Telematics and Information Technology (CTIT), 2005. http://dx.doi.org/10.3990/1.5108517.

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Borgwardt, Stefan, and Veronika Thost. Temporal Query Answering in DL-Lite with Negation. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.221.

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Ontology-based query answering augments classical query answering in databases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We investigate temporal query answering w.r.t. ontologies formulated in DL-Lite, a family of description logics that captures the conceptual features of relational databases and was tailored for efficient query answering. We consider a recently proposed temporal query language that combines conjunctive queries with the operators of propositional linear temporal logic (LTL). In particular, we consider negation in the onto
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Baader, Franz, Stefan Borgwardt, and Marcel Lippmann. Query Rewriting for DL-Lite with n-ary Concrete Domains (Extended Version). Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.234.

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We investigate ontology-based query answering (OBQA) in a setting where both the ontology and the query can refer to concrete values such as numbers and strings. In contrast to previous work on this topic, the built-in predicates used to compare values are not restricted to being unary. We introduce restrictions on these predicates and on the ontology language that allow us to reduce OBQA to query answering in databases using the so-called combined rewriting approach. Though at first sight our restrictions are different from the ones used in previous work, we show that our results strictly sub
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