Relevant bibliographies by topics / Suggested Upper Merged Ontology (SUMO)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Suggested Upper Merged Ontology (SUMO)'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Suggested Upper Merged Ontology (SUMO)"

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Àlvez, Javier, Paqui Lucio, and German Rigau. "Adimen-SUMO." International Journal on Semantic Web and Information Systems 8, no. 4 (October 2012): 80–116. http://dx.doi.org/10.4018/jswis.2012100105.

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In this paper, the authors present Adimen-SUMO, an operational ontology to be used by first-order theorem provers in intelligent systems that require sophisticated reasoning capabilities (e.g. Natural Language Processing, Knowledge Engineering, Semantic Web infrastructure, etc.). Adimen-SUMO has been obtained by automatically translating around 88% of the original axioms of SUMO (Suggested Upper Merged Ontology). Their main interest is to present in a practical way the advantages of using first-order theorem provers during the design and development of first-order ontologies. First-order theorem provers are applied as inference engines for reengineering a large and complex ontology in order to allow for formal reasoning. In particular, the authors’ study focuses on providing first-order reasoning support to SUMO. During the process, they detect, explain and repair several important design flaws and problems of the SUMO axiomatization. As a by-product, they also provide general design decisions and good practices for creating operational first-order ontologies of any kind.
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Soldatova, Larisa N., and Ross D. King. "An ontology of scientific experiments." Journal of The Royal Society Interface 3, no. 11 (June 6, 2006): 795–803. http://dx.doi.org/10.1098/rsif.2006.0134.

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The formal description of experiments for efficient analysis, annotation and sharing of results is a fundamental part of the practice of science. Ontologies are required to achieve this objective. A few subject-specific ontologies of experiments currently exist. However, despite the unity of scientific experimentation, no general ontology of experiments exists. We propose the ontology EXPO to meet this need. EXPO links the SUMO (the Suggested Upper Merged Ontology) with subject-specific ontologies of experiments by formalizing the generic concepts of experimental design, methodology and results representation. EXPO is expressed in the W3C standard ontology language OWL-DL. We demonstrate the utility of EXPO and its ability to describe different experimental domains, by applying it to two experiments: one in high-energy physics and the other in phylogenetics. The use of EXPO made the goals and structure of these experiments more explicit, revealed ambiguities, and highlighted an unexpected similarity. We conclude that, EXPO is of general value in describing experiments and a step towards the formalization of science.
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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 (January 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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Gao, Kening, Yin Zhang, Bin Zhang, and Anxiang Ma. "Construction of domain Web classification ontology based on suggested upper merged ontology." Wuhan University Journal of Natural Sciences 13, no. 4 (August 2008): 435–39. http://dx.doi.org/10.1007/s11859-008-0411-y.

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Dissertations / Theses on the topic "Suggested Upper Merged Ontology (SUMO)"

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Anderson, Winston Noël. "Investigating the universality of a semantic web-upper ontology in the context of the African languages." Diss., 2016. http://hdl.handle.net/10500/21898.

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Ontologies are foundational to, and upper ontologies provide semantic integration across, the Semantic Web. Multilingualism has been shown to be a key challenge to the development of the Semantic Web, and is a particular challenge to the universality requirement of upper ontologies. Universality implies a qualitative mapping from lexical ontologies, like WordNet, to an upper ontology, such as SUMO. Are a given natural language family's core concepts currently included in an existing, accepted upper ontology? Does SUMO preserve an ontological non-bias with respect to the multilingual challenge, particularly in the context of the African languages? The approach to developing WordNets mapped to shared core concepts in the non-Indo-European language families has highlighted these challenges and this is examined in a unique new context: the Southern African languages. This is achieved through a new mapping from African language core concepts to SUMO. It is shown that SUMO has no signi ficant natural language ontology bias.
Computing
M. Sc. (Computer Science)
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Book chapters on the topic "Suggested Upper Merged Ontology (SUMO)"

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Taheri, Aynaz, and Mehrnoush Shamsfard. "Mapping FarsNet to Suggested Upper Merged Ontology." In Information Retrieval Technology, 604–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25631-8_55.

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Chow, Ian C., and Jonathan J. Webster. "Integration of Linguistic Resources for Verb Classification: FrameNet Frame, WordNet Verb and Suggested Upper Merged Ontology." In Computational Linguistics and Intelligent Text Processing, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70939-8_1.

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Pease, Adam, and Godfrey Rust. "Formal Ontology for Media Rights Transactions." In Semantic Web for Business, 353–73. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-066-0.ch017.

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Rightscom (a UK-based media and rights consultancy), is working with Articulate Software (a formal ontology consultancy) and with another system developer to create a large-scale metadata integration and transaction management system, founded on an ontology-based metamodel. Previous versions of this system have utilized lightweight schema and conventional Semantic Web technologies such as OWL. This has become unwieldy, and does not take advantage of latest technologies. Our current version employs formal ontology development in the logical language of SUO-KIF and involves reuse of an extension of a large formal ontology – the Suggested Upper Merged Ontology (SUMO) - and its associated ontology management system, called Sigma. In particular, integration with a large ontology will give the Rightscom model greater coverage of more domains and expand business opportunities to supporting more kinds of transaction management applications. By utilizing an open source technology core, Rightscom will be able to leverage a larger and more robust set of technologies for our clients than would be possible with a proprietary system developed entirely in house. A key challenge in this work is maintaining customer-specific vocabularies and descriptions that are more appropriate in different contexts than the generic explanations in SUMO, that also conform to the central SUMO model.
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Reed, Stephen K. "Information Sciences." In Cognitive Skills You Need for the 21st Century, 180–93. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197529003.003.0016.

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The information sciences provide tools for deductive reasoning to supplement the classifications made by the data sciences and the explanations made by explanatory models. Formal ontologies provide a unifying framework for organizing definitions, research findings, and theories. One of the primary purposes of a formal ontology is to use deductive reasoning to answer questions submitted to computer. A general or upper oncology is required to integrate more specialized domain ontologies. The Suggested Upper Merged Ontology is particularly helpful because it consists of 20,000 concepts with connections to both WordNet and FrameNet. WordNet is an electronic dictionary while FrameNet captures co-occurrences of words to provide a thematic context in which words occur. Together, WordNet, FrameNet, and the Suggested Upper Merged Ontology provide an integration of three major information science tools.
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Conference papers on the topic "Suggested Upper Merged Ontology (SUMO)"

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de Melo, Gerard, Fabian Suchanek, and Adam Pease. "Integrating YAGO into the Suggested Upper Merged Ontology." In 2008 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2008. http://dx.doi.org/10.1109/ictai.2008.34.

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