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What Is an Ontology?
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Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Ontologies serve as a means to formally model concepts from a specific domain by providing a detailed specification of entities, their properties, and their relations.
“To achieve this, ontologies serve as a means to formally model concepts from a specific domain by providing a detailed specification of entities, their properties, and their relations (Guarino et al. 2009).”
From AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024) · cites this paper as Guarino et al. 2009
The ontology aims to reduce the variability of tags and ensures that the classification of memories remains more consistent, allowing categorization and relation of memories to broader contexts.
“The ontology aims to reduce the variability of tags and ensures that the classification of memories remains more consistent, allowing to categorize and relate memories to broader contexts [20].”
From CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents (2026) · cites this paper as [20]
Citations
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No references could be resolved yet.
Research works printed but not linked: 18
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- R. Carnap. Meaning and Necessity – A Study in Semantics and Modal Logic. The University of Chicago Press, second edition, 1956.
- S. K. Das. Deductive Databases and Logic Programming. Addison Wesley, 1992.
- D. R. Dowty, R. Wall, and S. Peters. Introduction to Montague Semantics, volume 11 of Studies in Linguistics and Philosophy. Springer, Heidelberg, 1980. · DOI
- M. R. Genesereth and N. J. Nilsson. Logical Foundations of Artificial Intelligence. Morgan Kaufmann, Los Altos, CA, 1987.
- T. R. Gruber. Towards principles for the design of ontologies used for knowledge sharing. In N. Guarino and R. Poli, editors, Formal Ontology in Conceptual Analysis and Knowledge Representation. Kluwer Academic Publishers, Deventer, The Netherlands, 1993.
- T. R. Gruber. A Translation Approach to Portable Ontologies. Knowledge Acquisition, 5(2):199–220, 1993. · DOI
- T. R. Gruber. Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human Computer Studies, 43(5–6):907–928, 1995. · DOI · Paper page
- N. Guarino and P. Giaretta. Ontologies and Knowledge Bases: Towards a Terminological Clarification. In N. Mars, editor, Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing, pages 25–32. IOS Press, Amsterdam, 1995.
- N. Guarino. Formal Ontology in Information Systems. In N. Guarino, editor, Formal Ontology in Information Systems. Proceedings of FOIS'98, Trento, Italy, June 6-8, 1998, pages 3–15. IOS Press, Amsterdam, 1998.
- J. Hendler. Agents and the Semantic Web. IEEE Intelligent Systems, 16(2):30–37, 2001. · DOI
- C. K. Ogden and I. A. Richards. The Meaning of Meaning: A Study of the Influence of Language upon Thought and of the Science of Symbolism. Routledge & Kegan Paul Ltd., London, tenth edition, 1923.
- P. Øhrstrøm, J. Andersen, and H. Schärfe. What has happened to ontology. In F. Dau, M.-L. Mugnier, and G. Stumme, editors, Conceptual Structures: Common Semantics for Sharing Knowledge, 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 17–22, 2005, Proceedings, volume 3596 of Lecture Notes in Computer Science, pages 425–438. Springer, Heidelberg, 2005. · DOI
- B. Smith. Beyond Concepts: Ontology as Reality Representation. In A. C. Varzi and L. Vieu, editors, Formal Ontology in Information Systems – Proceedings of the Third International Conference (FOIS 2004), pages 73–85. IOS Press, Amsterdam, 2004.
- R. Studer, R. Benjamins, and D. Fensel. Knowledge engineering: Principles and methods. Data & Knowledge Engineering, 25(1–2):161–198, 1998. · DOI
- W. Swartout and A. Tate. Ontologies. IEEE Intelligent Systems, 14(1):18–19, 1999. · DOI
- M. Uschold. Ontologies and Semantics for Seamless Connectivity. SIGMOD Record, 33(4):58–64, 2004. · DOI
- R. L. Vaught. Alfred Tarski's Work in Model Theory. The Journal of Symbolic Logic, 51(4):869–882, 1986. · DOI
Cited by
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Shorten, C., Khoshgoftaar, T. M., & Furht, B. (2021) · Journal of Big Data · doi:10.1186/s40537-020-00392-9 · Cited by 350
Context-awareness for the design of Smart-product service systems: Literature review
Carrera-Rivera, A., Larrinaga, F., & Lasa, G. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103730 · Cited by 97
Carrera-Rivera, A., Larrinaga, F., Lasa, G., Martinez-Arellano, G., & Unamuno, G. (2024) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-024-09414-0 · Cited by 30
Westhäußer, R., Minker, W., & Zepf, S. (2026) · Proceedings of the 31st International Conference on Intelligent User Interfaces · doi:10.1145/3742413.3789222 · Cited by 1
“As illustrated in Figure 2, CAIM is structured into three modules designed to work together to address the out-lined challenges, including the lack of LTM in LLMs and the need for more accurate and contextually relevant responses.”
Metadata
- Authors
- Guarino, N., Oberle, D., & Staab, S.
- Affiliations
- National Research Council (IT)
- University of Koblenz and Landau (DE)
- Corresponding author
- Guarino, Nicola
- Venue
- Handbook on Ontologies
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- Pages
- 1-17
- OpenAlex
- W153886719
- Cited by
- 1,244
- References
- 0
- Citations by year
- 2026: 41 · 2025: 77 · 2024: 75 · 2023: 85 · 2022: 124 · 2021: 96 · 2020: 83 · 2019: 98 · 2018: 64 · 2017: 56 · 2016: 69 · 2015: 86 · 2014: 83 · 2013: 43 · 2012: 46
- FWCI
- 66.90
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Health Sciences › Medicine › Health Informatics › Biomedical Text Mining and Ontologies
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- ontology (information science), computational ontology, conceptualization, knowledge engineering
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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