Bibliografie tematiche / Ontology

Letteratura scientifica selezionata sul tema "Ontology"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 31 luglio 2024

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Articoli di riviste sul tema "Ontology"

1

Andreasik, Jan. "Ontologia BHP na podstawie normy PN-N-18001". Barometr Regionalny. Analizy i Prognozy 15, n. 4 (16 febbraio 2018): 145–52. http://dx.doi.org/10.56583/br.416.

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W pracy przedstawiono projekt ontologii BHP opracowanej na podstawie normy PN-N-18001 Systemy zarządzania bezpieczeństwem i higieną pracy. Wymagania. Ontologię zdefiniowano w języku OWL (Ontology Web Language). Przedstawiono odpowiednio diagramy klas, diagramy właściwości obiektowych oraz właściwości typu danych. Zaprezentowano odpowiednie wizualizacje ontologii oraz przykłady definiowania pojęć i relacji.
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Schenk, Paulina M., Alison J. Wright, Robert West, Janna Hastings, Fabiana Lorencatto, Candice Moore, Emily Hayes, Verena Schneider e Susan Michie. "An ontology of mechanisms of action in behaviour change interventions". Wellcome Open Research 8 (11 agosto 2023): 337. http://dx.doi.org/10.12688/wellcomeopenres.19489.1.

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Background: Behaviour change interventions influence behaviour through causal processes called “mechanisms of action” (MoAs). Reports of such interventions and their evaluations often use inconsistent or ambiguous terminology, creating problems for searching, evidence synthesis and theory development. This inconsistency includes the reporting of MoAs. An ontology can help address these challenges by serving as a classification system that labels and defines MoAs and their relationships. The aim of this study was to develop an ontology of MoAs of behaviour change interventions. Methods: To develop the MoA Ontology, we (1) defined the ontology’s scope; (2) identified, labelled and defined the ontology’s entities; (3) refined the ontology by annotating (i.e., coding) MoAs in intervention reports; (4) refined the ontology via stakeholder review of the ontology’s comprehensiveness and clarity; (5) tested whether researchers could reliably apply the ontology to annotate MoAs in intervention evaluation reports; (6) refined the relationships between entities; (7) reviewed the alignment of the MoA Ontology with other relevant ontologies, (8) reviewed the ontology’s alignment with the Theories and Techniques Tool; and (9) published a machine-readable version of the ontology. Results: An MoA was defined as “a process that is causally active in the relationship between a behaviour change intervention scenario and its outcome behaviour”. We created an initial MoA Ontology with 261 entities through Steps 2-5. Inter-rater reliability for annotating study reports using these entities was α=0.68 (“acceptable”) for researchers familiar with the ontology and α=0.47 for researchers unfamiliar with it. As a result of additional revisions (Steps 6-8), 21 further entities were added to the ontology resulting in 282 entities organised in seven hierarchical levels. Conclusions: The MoA Ontology extensively captures MoAs of behaviour change interventions. The ontology can serve as a controlled vocabulary for MoAs to consistently describe and synthesise evidence about MoAs across diverse sources.
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Schenk, Paulina M., Alison J. Wright, Robert West, Janna Hastings, Fabiana Lorencatto, Candice Moore, Emily Hayes, Verena Schneider, Ella Howes e Susan Michie. "An ontology of mechanisms of action in behaviour change interventions". Wellcome Open Research 8 (30 maggio 2024): 337. http://dx.doi.org/10.12688/wellcomeopenres.19489.2.

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Abstract (sommario):
Background Behaviour change interventions influence behaviour through causal processes called “mechanisms of action” (MoAs). Reports of such interventions and their evaluations often use inconsistent or ambiguous terminology, creating problems for searching, evidence synthesis and theory development. This inconsistency includes the reporting of MoAs. An ontology can help address these challenges by serving as a classification system that labels and defines MoAs and their relationships. The aim of this study was to develop an ontology of MoAs of behaviour change interventions. Methods To develop the MoA Ontology, we (1) defined the ontology’s scope; (2) identified, labelled and defined the ontology’s entities; (3) refined the ontology by annotating (i.e., coding) MoAs in intervention reports; (4) refined the ontology via stakeholder review of the ontology’s comprehensiveness and clarity; (5) tested whether researchers could reliably apply the ontology to annotate MoAs in intervention evaluation reports; (6) refined the relationships between entities; (7) reviewed the alignment of the MoA Ontology with other relevant ontologies, (8) reviewed the ontology’s alignment with the Theories and Techniques Tool; and (9) published a machine-readable version of the ontology. Results An MoA was defined as “a process that is causally active in the relationship between a behaviour change intervention scenario and its outcome behaviour”. We created an initial MoA Ontology with 261 entities through Steps 2-5. Inter-rater reliability for annotating study reports using these entities was α=0.68 (“acceptable”) for researchers familiar with the ontology and α=0.47 for researchers unfamiliar with it. As a result of additional revisions (Steps 6-8), 23 further entities were added to the ontology resulting in 284 entities organised in seven hierarchical levels. Conclusions The MoA Ontology extensively captures MoAs of behaviour change interventions. The ontology can serve as a controlled vocabulary for MoAs to consistently describe and synthesise evidence about MoAs across diverse sources.
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Zhu, Linli, Yu Pan, Mohammad Reza Farahani e Wei Gao. "Graph Laplacian Based Ontology Regularization Distance Framework for Ontology Similarity Measuring and Ontology Mapping". Journal of Computational Mathematica 1, n. 1 (30 giugno 2017): 88–98. http://dx.doi.org/10.26524/cm6.

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El-Yunusi, Muhammad Yusron Maulana, Putri Yasmin e Laylatul Mubarok. "Ontologi Filsafat Pendidikan Islam (Studi Kasus: Bahan Ajar Penerapan Literasi pada Peserta Didik)". JIIP - Jurnal Ilmiah Ilmu Pendidikan 6, n. 9 (1 settembre 2023): 6614–24. http://dx.doi.org/10.54371/jiip.v6i9.2800.

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Artikel ini bertujuan untuk memaparkan pengertian secara lebih kritis ontologi dalam pembelajaran filsafat Pendidikan Islam, ontologi dalam perspektif filsafat Pendidikan islam adalah salah satu cabang filsafat yang mempelajari hakikat dan realitas dari Pendidikan islam, yang dapat diartikan secara luas ontologi filsafat Pendidikan islam adalah salah satu cabang ilmu filsafat yang membahas tentang keberadaan Tuhan dan manusia. Metode yang digunakan artikel ini adalah metode atau pendekatan kepustakaan (library research), bahwa suatu bentuk penelitian yang membutuhkan perlakuan yang lebih filosofis dan teoritis daripada pengujian lapangan yang empiris. Hasil penelitian ini yaitu mencakup tentang arti ontologi secara umum, beserta tokoh-tokoh yang mengemukakannya beberapa, ruang lingkup ontology, objek-objek ontology dalam filsafat Pendidikan Islam, kajian-kajian ontologi, yang berupa progresivisme, esensialisme, perenialisme, rekonstruksionalisme, dan hubungan ontologi dengan filsafat Pendidikan islam, dan dapat disimpulkan oleh penulis bahwa ontologi adalah salah satu cabang ilmu filsafat yang membahas lebih detail tentang keberadaan manusia dengan kedudukan Tuhannya. Yang jika dihubungkan dengan ontologi filsafat Pendidikan islam tentunya jika dikaitkan dalam sudut pandang ontology memiliki peran penting dalam penerapannya dapat dicontohkan dengan pengembangan literasi pada siswa, namun ontologi mencakup penyelidikan dan pengetahuan segala sesuatu ditinjau dari sebab-sebab dan asas yang ada.
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von Rosing, Mark, e Wim Laurier. "An Introduction to the Business Ontology". International Journal of Conceptual Structures and Smart Applications 3, n. 1 (gennaio 2015): 20–41. http://dx.doi.org/10.4018/ijcssa.2015010102.

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Based on the long-standing work of the Global University Alliance and its members, ontology is introduced for the business domain. This ‘business ontology' incorporates all the constructs that can be found in the most popular business standards and frameworks. The business ontology's research and development journey is detailed; in terms of the how the research and findings came about, including the underlying academic design science that is informed by practitioners' industrial experiences. It explains the value of ontology, from which the need for the business ontology can be justified and gives it presence in business practice. The paper concludes with a discussion on the ontology's present status and future potential.
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Shi, Zong Lin, Da Quan Tang, Zhen Tan e Gui Fang Wang. "Ontology of Aircraft Carrier Geographic Information". Advanced Materials Research 989-994 (luglio 2014): 5014–20. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5014.

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This paper aimed to build an ontology of aircraft carrier geographic information, defined ontology’s constants, predicates, functions about aircraft carrier geographic information, and proposed a series of competency questions which could be solved by this ontology. Paper presented disjoint axioms, simple axioms and complex axioms of this ontology around these competency questions, and proved the consistency of the carrier ontology by examples. Finally, paper gave the answers for competency questions.
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Thomasson, Amie L. "Quizzical Ontology and Easy Ontology". Journal of Philosophy 111, n. 9 (2014): 502–28. http://dx.doi.org/10.5840/jphil20141119/1035.

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Simperl, Elena, Cristina Sarasua, Rachanee Ungrangsi e Tobias Bürger. "Ontology metadata for ontology reuse". International Journal of Metadata, Semantics and Ontologies 6, n. 2 (2011): 126. http://dx.doi.org/10.1504/ijmso.2011.046579.

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Sad-Houari, Nawal, Noria Taghezout e Aissa Nador. "A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH". Journal of Information Science 45, n. 4 (3 ottobre 2018): 529–53. http://dx.doi.org/10.1177/0165551518802261.

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The challenges of the development of a suitable ontology scheme in decision-making environment should be taken in conjunction with the exploitation of more recent technologies. It is expected that the use of ontologies will lead to the construction of more intelligent applications, allowing them to work more specifically at a human conceptual level. We propose in this article an approach that analyses the impact of changes in the ontology on business rules in order to detect inconsistencies that may be generated. In addition, the developed tool provides solutions to repair inconsistencies with the help of domain experts. In our work, business rules are edited from the concepts and properties that are stored in an OWL (Web Ontology Language) ontology named OntoloG. This latter is implemented throughout the use of Protégé 4.0.2.with the OWL sub-language. OntoloG has been developed by the knowledge acquisition from documents, collection and capitalisation of business rules process with experts in SONATRACH AVAL.
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Più fonti

Tesi sul tema "Ontology"

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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 examined due to its potential benefits regarding complex matching and matching as such. The latter is examined because complex hypotheses could be beneficial feedback as complement to traditional evaluation methods. These two tasks are related to four different topics: ontology patterns, ontology transformation, ontology alignment evaluation and ontology matching. With regard to those four topics, this work covers the following aspects: * Examination of different aspects of ontology patterns. Particularly, description of relevant ontology patterns for ontology transformation and for ontology matching (such as naming, matching and transformation patterns). * Description of a pattern-based method for ontology transformation. * Introduction of new methods for an alignment evaluation; including using patterns as a complex structures for more detailed analysis. * Experiments and demonstrations of new concepts introduced in this thesis. The thesis first introduces naming pattern and matching pattern classification on which ontology transformation framework is based. Naming patterns are useful for detection of ontology patterns and for generation of new names for entities. Matching patterns are basis for transformation patterns in terms of sharing some building blocks. In comparison with matching patterns, transformation patterns have transformation links that represent way how parts of ontology patterns are transformed. Besides several evaluations and implementations, the thesis provides a demonstration of getting complex matching due to ontology transformation process. Ontology transformation framework has been implemented in Java environment where all generic patterns are represented as corresponding Java objects. Three main implemented services are made generally available as RESTful services: ontology pattern detection, transformation instruction generation and ontology transformation.
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Paula, Felipe Cordeiro de. "MAS Ontology: uma ontologia de métodos orientados a agentes". Universidade do Estado do Rio de Janeiro, 2014. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8211.

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Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
A modelagem orientada a agentes surge como paradigma no desenvolvimento de software, haja vista a quantidade de iniciativas e estudos que remetem à utilização de agentes de software como solução para tratar de problemas mais complexos. Apesar da popularidade de utilização de agentes, especialistas esbarram na falta de universalidade de uma metodologia para construção dos Sistemas Multiagentes (MAS), pois estas acabam pecando pelo excesso ou falta de soluções para modelar o problema. Esta dissertação propõe o uso de uma Ontologia sobre Metodologias Multiagentes, seguindo os princípios da Engenharia de Métodos Situacionais que se propõe a usar fragmentos de métodos para construção de metodologias baseados na especificidade do projeto em desenvolvimento. O objetivo do estudo é sedimentar o conhecimento na área de Metodologias Multiagentes, auxiliando o engenheiro de software a escolher a melhor metodologia ou o melhor fragmento de metodologia capaz de modelar um Sistema Multiagentes.
The agent-oriented modeling emerges as a paradigm in software development, considering the amount of initiatives and studies that refer to the use of software agents as a solution to address more complex problems. Despite the popularity of using agents, experts bump in the lack of universality of a methodology for the construction of Multiagent Systems (MAS), as they end up sinning by excess or lack of solutions to model the problem. This thesis proposes the use of an Ontology based in Methodologies for Multi-Agent Systems, following the principles of Situational Method Engineering, which proposes to use fragments of methods for constructing methodologies based on the specificity of the development project. The aim of this work is to consolidate the knowledge in the area of Multiagent Methodologies by helping the software engineering to choose the best methodology or the best fragment method able to model a specific Multiagent System.
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Aparicio, Jose Martin Lozano. "Ontology view : a new sub-ontology extraction method". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/119251.

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Hoje em dia, muitas empresas de petróleo estão adotando diferentes sistemas baseados em conhecimento com o objetivo de ter uma melhor predição de qualidade de reservatório. No entanto, existem obstáculos que não permitem geólogos com diferentes formações recuperar as informações sem a necessidade da ajuda de um especialista em tecnologia da informação. O principal problema é a heterogeneidade semântica dos usuários finais quando fazem consultas em um sistema de consulta visual (VQS). Isto pode ser pior quando há uma nova terminologia na base de conhecimentos que afetam a interação do usuário, especialmente para usuários novatos. Neste contexto, apresentamos contribuições teóricas e práticas que explora o sinergismo entre ontologia e interação homem-computador (HCI). Do lado da teoria, introduzimos o conceito de visão de ontologia bem fundamentada e a sua definição formal. Nós nos concentramos na extração de vista ontologia de uma ontologia bem fundamentada e completa, baseando-nos em meta-propriedades ontológicas e propusemos um algorítmo independente da linguagem para extração de sub-ontologia que é guiada por meta-propriedades ontológicas. No lado prático, baseado nos princípios de HCI e desenho de interação, propusemos um novo sistema de consulta visual que usa o enfoque de vistas de ontologias para guiar o processo de consulta. Também o nosso desenho inclui visualizações de dados que ajudarão geólogos a entender os dados recuperados. Além disso, avaliamos nosso desenho com um teste de usabilidade a-través de um questionário em experimento controlado. Cinco geólogos que trabalham na área de Geologia do Petróleo foram avaliados. O enfoque proposto é avaliado no domínio de petrografia tomando as comunidades de Diagênese e Microestrutural adotando o critério de precisão e revocação. Os resultados experimentais mostram que termos relevantes obtidos de documentos de uma comunidade varia entre 30 a 66% de precisão e 4.6 a 36% de revocação, dependendo do enfoque selecionado e da combinação de parâmetros. Além disso, os resultados mostram que, para toda combinação de parâmetros, a revocação obtidos de artigos de diagênese usando a sub-ontologia gerada para a comunidade de diagênese é maior que a revocação e f-measure usando a sub-ontologia gerada para a comunidade de microestrutural. Por outro lado, resultados para toda combinação de parâmetros mostram que a revocação e f-measure obtida de artigos de microestrutural usando a sub-ontologia gerada para a comunidade de microestrutural é maior que a revocação e o fmeasure usando a sub-ontologia gerada para a comunidade de diagêneses.
Nowadays many petroleum companies are adopting different knowledge-based systems aiming to have a better reservoir quality prediction. However, there are obstacles that not allow different background geologists to retrieve information without needing the help of an information technology expert. The main problem is the heterogeneity semantic of end users when doing queries in a visual query system (VQS). This can be worst when there is new terminology in the knowledge-base affecting the user interaction, particularly for novice users. In this context, we present theoretical and practical contributions that exploit the synergism between ontology and human computer interaction (HCI). On the theory side, we introduce the concept of ontology view for well-founded ontology and provide a formal definition and expressive power characterization. We focus in the ontology view extraction of a well-founded and complete ontology based on ontological meta-properties and propose a language independent algorithm for sub-ontology extraction, which is guided by ontological meta-properties. On the practical side, based on the principles of HCI and interaction design, we propose a new Visual Query System that uses the ontology view approach to guide the query process. Also, our design includes data visualizations that will help geologists to make sense of the retrieved data. Furthermore, we evaluated our interaction design with five users performing a usability testing through a questionnaire in a controlled experiment. The evaluation was performed over geologists that work in the area of petroleum geology. The approach proposed is evaluated on the petrography domain taking the communities of Diagenesis and MicroStructural adopting the well known criteria of precision and recall. Experimental results show that relevant terms obtained from the documents of a community varies from 30 to 66 % of precision and 4.6 to 36% of recall depending on the approach selected and the parameters combination. Furthermore, results show that almost for all the parameters combination that recall and f-measure obtained from diagenesis articles using the sub-ontology generated for the diagenesis community is greater than recall and f-measure using the sub-ontology generated for microstructural community. On the other hand, results for all the parameters combination that recall and f-measure obtained from microstructural articles using the sub-ontology generated for the microstructural community is greater than recall and f-measure using the subontology generated for diagenesis community.
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Armas, Romero Ana. "Ontology module extraction and applications to ontology classification". Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:4ec888f4-b7c0-4080-9d9a-3c46c91f67e3.

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Module extraction is the task of computing a (preferably small) fragment M of an ontology O that preserves a class of entailments over a signature of interest ∑. Existing practical approaches ensure that M preserves all second-order entailments of O over ∑, which is a stronger condition than is required in many applications. In the first part of this thesis, we propose a novel approach to module extraction which, based on a reduction to a datalog reasoning problem, makes it possible to compute modules that are tailored to preserve only specific kinds of entailments. This leads to obtaining modules that are often significantly smaller than those produced by other practical approaches, as shown in an empirical evaluation. In the second part of this thesis, we consider the application of module extraction to the optimisation of ontology classification. Classification is a fundamental reasoning task in ontology design, and there is currently a wide range of reasoners that provide this service. Reasoners aimed at so-called lightweight ontology languages are much more efficient than those aimed at more expressive ones, but they do not offer completeness guarantees for ontologies containing axioms outside the relevant language. We propose an original approach to classification based on exploiting module extraction techniques to divide the workload between a general purpose reasoner and a more efficient reasoner for a lightweight language in such a way that the bulk of the workload is assigned to the latter. We show how the proposed approach can be realised using two particular module extraction techniques, including the one presented in the first part of the thesis. Furthermore, we present the results of an empirical evaluation that shows that this approach can lead to a significant performance improvement in many cases.
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Rodríguez, Pérez Jezabel. "Heidegger y Spinoza: sobre el giro ético de la ontología y la comprensión ontológica de los afectos". Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/669553.

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La present investigació té com a principal propòsit discutir amb Heidegger el lloc de Spinoza en la història de la filosofia occidental. En contra del que tradicionalment s'ha pensat, defensem aquí dos punts de convergència entre els dos autors: el gir ètic de l'ontologia i la comprensió ontològica dels afectes.
La presente investigación tiene como principal propósito discutir con Heidegger el lugar de Spinoza en la historia de la filosofía occidental. En contra de lo que tradicionalmente se ha pensado, defendemos aquí dos puntos de convergencia entre ambos autores: el giro ético de la ontología y la comprensión ontológica de los afectos.
The main purpose of this research is to discuss with Heidegger the place of Spinoza in the history of Western philosophy. Contrary to what has traditionally been thought of, we defend here two points of convergence between the two authors: the ethical turn of the ontology and the ontological understanding of affections.
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Bergh, Johann Rath. "Ontology comprehension". Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6517.

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Thesis (MSc (Mathematical Sciences. Computer Science))--University of Stellenbosch, 2011.
ENGLISH ABSTRACT: Ontologies are conceptual models of a domain of discourse and are used in a number of applications to model a field of knowledge. For example, SNOMED, an ontology of medical terminology, is widely used among medical professionals. Commercial ontologies, such as SNOMED, can have hundreds of thousands of concepts. People who want to use these ontologies need an understanding thereof, but the sheer magnitude of these ontologies hampers comprehension. It was within this context that the need arose for software tools that facilitate the understanding of ontologies. Given this background, our aim is to investigate a new area within the field of ontologies, namely, ontology comprehension. We make a contribution to it by developing an ontology comprehension framework and writing a software tool of our own. This software tool, PathViz, helps users to understand how different concepts in an ontology are related to each other and what effect entailments have on the way concepts in an ontology relate to each other. The ontology comprehension framework, PathViz and the reasoning measurement instruments were found useful for ontology comprehension by participants at an ontology workshop.
AFRIKAANSE OPSOMMING: Ontologieë is konseptuele modelle van ’n domein en word in verskeie toepassings gebruik om ’n kennisveld te modelleer. SNOMED is ’n voorbeeld van ’n ontologie van mediese terme wat baie gebruik word deur die mediese beroepslui. Kommersiële ontologieë, soos SNOMED, kan bestaan uit duisende konsepte. Dit is belangrik om hierdie ontologieë wat gebruik word te verstaan, maar die enorme omvang van hierdie ontologieë belemmer die verstaanproses. In hierdie konteks het die behoefte ontstaan vir programmatuur wat die verstaanproses van ontologieë vergemaklik. Met hierdie agtergrond inaggenome, is dit ons doel om ’n nuwe area in die veld van ontologieë te ondersoek, naamlik, Ontologie-begrip. Ons maak ’n bydra tot hierdie veld deur ’n raamwerk vir ontologie-begrip te ontwikkel en programmatuur van ons eie te skryf. Hierdie programmatuur, PathViz, help gebruikers om te verstaan hoe verskillende konsepte in ’n ontologie aan mekaar verwant is. Verder help dit gebruikers om te verstaan watter invloed afleidings uit die ontologieë het op konsepverwantskappe. Deelnemers aan ’n ontologie-werkswinkel het gevind dat die raamwerk vir ontologie-begrip, PathViz en die instrumente wat die invloed van die ontologie-redeneerder meet, ontologie-begrip bevorder.
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7

Le, Pendu Paea Jean-Francois 1974. "Ontology databases". Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/10575.

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xi, 89 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.
On the one hand, ontologies provide a means of formally specifying complex descriptions and relationships about information in a way that is expressive yet amenable to automated processing and reasoning. When data are annotated using terms from an ontology, the instances inhere in formal semantics. Compared to an ontology, which may have as few as a dozen or as many as tens of thousands of terms, the annotated instances for the ontology are often several orders of magnitude larger, from millions to possibly trillions of instances. Unfortunately, existing reasoning techniques cannot scale to these sizes. On the other hand, relational database management systems provide mechanisms for storing, retrieving, and maintaining the integrity of large amounts of data. Relational database management systems are well known for scaling to extremely large sizes of data, some claiming to manage over a quadrillion data. This dissertation defines ontology databases as a mapping from ontologies to relational databases in order to combine the expressiveness of ontologies with the scalability of relational databases. This mapping is sound and, under certain conditions, complete. That is, the database behaves like a knowledge base which is faithful to the semantics of a given ontology. What distinguishes this work is the treatment of the relational database management system as an active reasoning component rather than as a passive storage and retrieval system. The main contributions this dissertation will highlight include: (i) the theory and implementation particulars for mapping ontologies to databases, (ii) subsumption based reasoning, (iii) inconsistency detection, (iv) scalability studies, and (v) information integration (specifically, information exchange). This work is novel because it is the first attempt to embed a logical reasoning system, specified by a Semantic Web ontology, into a plain relational database management system using active database technologies. This work also introduces the not-gadget , which relaxes the closed-world assumption and increases the expressive power of the logical system without significant cost. This work also demonstrates how to deploy the same framework as an information integration system for data exchange scenarios, which is an important step toward semantic information integration over distributed data repositories.
Committee in charge: Dejing Dou, Chairperson, Computer & Information Science; Zena Ariola, Member, Computer & Information Science; Christopher Wilson, Member, Computer & Information Science; Monte Westerfield, Outside Member, Biology
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Dolson, C. Daniel. "Toward A Lean Ontology: Quine, (Meta) Ontology, and Descriptions". Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1155833916.

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Wohlgenannt, Gerhard, Stefan Belk e Matthias Schett. "A Prototype for Automating Ontology Learning and Ontology Evolution". SciTePress, 2013. http://epub.wu.ac.at/4106/1/keod2013.pdf.

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Ontology learning supports ontology engineers in the complex task of creating an ontology. Updating ontologies at regular intervals greatly increases the need for expensive expert contribution. This naturally leads to endeavors to automate the process wherever applicable. This paper presents a model for automated ontology learning and a prototype which demonstrates the feasibility of the proposed approach in learning lightweight domain ontologies. The system learns ontologies from heterogeneous sources periodically and delegates all evaluation processes, eg. the verification of new concept candidates, to a crowdsourcing framework which currently relies on Games with a Purpose. Furthermore, we sketch ontology evolution experiments to trace trends and patterns facilitated by the system.(authors' abstract)
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Marin, Neto Antonio [UNESP]. "Ontologias na representação do conhecimento: uma ferramenta semântica para a ciência da informação". Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/155929.

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As ontologias surgiram a partir de discussões na Filosofia com o objetivo de discutir a essência das coisas, nos estudos da metafísica por Aristóteles, que dentre os diferentes ramos de investigação filosófica, tratava do conhecimento da essência de toda a realidade. A ontologia trata do estudo do “Ser” enquanto ser. O termo foi posteriormente utilizado em diferentes áreas como a Ciência da Computação (CC), Psicologia, Ciência da Informação (CI), entre outros. Nesse texto é apresentado um levantamento da utilização das ontologias na representação do conhecimento, identificando e destacando a forma de utilização da ontologia como ferramenta na CC e CI. Para tal, o trabalho inicial com uma contextualização do termo ontologia, desde a sua origem na Filosofia até a sua utilização em algumas das áreas do conhecimento. Em seguida é apresentado um levantamento sobre a representação do conhecimento, a destacar a CC e CI, bem como sobre a utilização da ontologia nesse contexto informacional. Afim de evidenciar a importância das ontologias para representação do conhecimento, também são listadas as principais metodologias de criação de ontologia, aprendizado de ontologia, bem como as ferramentas utilizadas para essas tarefas, além do gerenciamento e engenharia de ontologias. E por fim são apresentadas as considerações finais acerca da utilização das ontologias como ferramentas semânticas na CI e como as futuruas pesquisas podem se beneficiar desse trabalho como uma base para o entendimento das ontologias como ferramenta semântica na CI.
Ontologies come from discussions in Philosophy to debate the essence of things in Aristotle's studies of metaphysics, which among the different branches of philosophical inquiry dealt with the knowledge of the essence of all reality. Ontology deals with the study of "Being" as being. The term was later used in different areas such as Computer Science (CC), Psychology, Information Science (IS), andothers. This thesis presents a survey of the use of ontologies in knowledge representation, identifying and highlighting how ontology is used as a semantic tool in CC and IS. For this, is presented a contextualization of the term ontology, from its origin in Philosophy to its use in some of the areas of knowledge. Next, a survey is presented on the representation of knowledge, highlighting the CC and IS, as well as on the use of the ontology in this informational context. In order to demonstrate the importance of ontologies for knowledge representation, the main methodologies for ontology creation, ontology learning, as well as the tools used for these tasks, as well as the management and engineering of ontologies are also listed. Finally, it's present the final considerations about the use of ontologies as semantic tools in IS and how future researches can benefit from this work as a basis for the understanding of ontologies as a semantic tool in IS.
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Libri sul tema "Ontology"

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R, Mauricio Gonza lez. Fuera de casa, o, de la existencia impropia: Hacia otra lectura de ser y tiempo de Heidegger. Bogota: Universidad de los Andes, Facultad de Ciencias Sociales, Departamento de Filosofi a, 2005.

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Wang, Zhengran. Mou Zongsan ben ti lun yan jiu: A study of Mou Zongsan's ontology. Beijing Shi: She hui ke xue wen xian chu ban she, 2021.

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Kendall, Elisa F., e Deborah L. McGuinness. Ontology Engineering. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-79486-5.

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Tamma, Valentina, Mauro Dragoni, Rafael Gonçalves e Agnieszka Ławrynowicz, a cura di. Ontology Engineering. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33245-1.

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Hepp, Martin, Pieter Leenheer, Aldo Moor e York Sure, a cura di. Ontology Management. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-69900-4.

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Poli, Roberto, e Peter Simons, a cura di. Formal Ontology. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8733-4.

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Eldred, Michael, a cura di. Social Ontology. Berlin, Boston: DE GRUYTER, 2008. http://dx.doi.org/10.1515/9783110333275.

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Dietz, Jan L. G., e Hans B. F. Mulder. Enterprise Ontology. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38854-6.

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Dietz, Jan L. G. Enterprise Ontology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33149-2.

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Euzenat, Jérôme, e Pavel Shvaiko. Ontology Matching. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38721-0.

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Capitoli di libri sul tema "Ontology"

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Ashraf, Jamshaid, Omar K. Hussain, Farookh Khadeer Hussain e Elizabeth J. Chang. "Representation Phase: Ontology Usage Ontology (U Ontology)". In Measuring and Analysing the Use of Ontologies, 171–203. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75681-3_7.

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Fileva, Iskra. "Ontology". In Encyclopedia of Personality and Individual Differences, 3328–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1488.

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Shekhar, Shashi, e Hui Xiong. "Ontology". In Encyclopedia of GIS, 812. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_915.

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Gruber, Tom. "Ontology". In Encyclopedia of Database Systems, 1–3. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1318-2.

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Steinhart, Eric. "Ontology". In Believing in Dawkins, 189–245. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43052-8_6.

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Smiraglia, Richard P. "Ontology". In The Elements of Knowledge Organization, 43–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09357-4_5.

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Romero, Gustavo E. "Ontology". In Scientific Philosophy, 29–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97631-0_3.

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Wang, Yong. "Ontology". In Encyclopedia of Systems Biology, 1560–61. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_488.

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Gruber, Tom. "Ontology". In Encyclopedia of Database Systems, 1963–65. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1318.

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Smith, Barry. "Ontology". In The Blackwell Guide to the Philosophy of Computing and Information, 153–66. Oxford, UK: Blackwell Publishing Ltd, 2008. http://dx.doi.org/10.1002/9780470757017.ch11.

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Atti di convegni sul tema "Ontology"

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Žáček, Martin. "Ontology or formal ontology". In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992234.

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Senturk, Fatmana, e Vecdi Aytac. "Ontology segmentation in ontology matching". In 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017. http://dx.doi.org/10.1109/ubmk.2017.8093469.

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Yin, Chi-Yen, Yau-Jung Lee e Jiann-Min Yang. "Ontology". In the 2nd International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1655925.1656172.

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Zúñiga, Gloria L. "Ontology". In the international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/505168.505187.

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Cordeiro, Felipe, Vera Maria B. Werneck, Neide dos Santos e Luiz Marcio Cysneiros. "MAS Ontology: Ontology for Multiagent Systems". In 18th International Conference on Enterprise Information Systems. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005870105360543.

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Siricharoen, Waralak V. "Ontology editors approach for ontology engineering". In 2018 4th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2018. http://dx.doi.org/10.1109/iccar.2018.8384703.

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Doran, Paul, Valentina Tamma e Luigi Iannone. "Ontology module extraction for ontology reuse". In the sixteenth ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1321440.1321451.

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Ruqiong Qiu, Hongwei Duan, Xiaomin Yu, LiNa Zheng e Qi Cheng. "An ontology matching method for GML application ontology to GeoSPARQL ontology". In 2015 23rd International Conference on Geoinformatics. IEEE, 2015. http://dx.doi.org/10.1109/geoinformatics.2015.7378625.

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Ameri, Farhad, e 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 ontology both for improving the efficiency of the development process and enhancing the quality of the resulting ontology. The proposed proof-of-concept reference ontology is developed in the context of the Industrial Ontology Foundry (IOF). IOF is an international effort aimed at providing a coherent set of modular and publicly-available ontologies for the manufacturing sector. Although the proposed reference ontology is still at the draft stage, this paper shows that it has already benefited from the collaborative development process that involves inputs from the other working groups within IOF. Additionally, as a way to validate the proposed reference ontology, an application ontology related to a supplier discovery and evaluation use case is derived from the reference ontology and tested.
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Huang, Maojun. "On the concept of geographic ontology-from the viewpoints of philosophy ontology, information ontology and spatial ontology". In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567723.

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Rapporti di organizzazioni sul tema "Ontology"

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Tarasenko, Roman A., Viktor B. Shapovalov, Stanislav A. Usenko, Yevhenii B. Shapovalov, Iryna M. Savchenko, Yevhen Yu Pashchenko e Adrian Paschke. Comparison of ontology with non-ontology tools for educational research. [б. в.], giugno 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 by Ministry of Education and Science of Ukraine”, “Scopus sources”, “The promising developments of The National Academy of Sciences of Ukraine” were created and structured in the centralized ontology. A comparison of each tool to existing classic web-based analogue provided and described.
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Ma, Xiaogang, Curt Tilmes e Peter Fox. GCIS Ontology version 1.2. U.S. Global Change Research Program, 2015. http://dx.doi.org/10.7930/j0hq3wtk.

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Peraketh, Benjamin, Christopher P. Menzel, Richard J. Mayer, Florence Fillion e Michael T. Futrell. Ontology Capture Method (IDEF5). Fort Belvoir, VA: Defense Technical Information Center, ottobre 1994. http://dx.doi.org/10.21236/ada288442.

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Abeye, Binyam, Edward Barkmeyer e Peter Denno. Product data sheet ontology. Gaithersburg, MD: National Institute of Standards and Technology, dicembre 2014. http://dx.doi.org/10.6028/nist.ir.8035.

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Brodaric, B., e S. M. Richard. The GeoScience Ontology reference. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328296.

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Davidson, George S., Jana Strasburg, David Stampf, Lev Neymotin, Carl Czajkowski, Eugene Shine, James Bollinger et al. Data mining for ontology development. Office of Scientific and Technical Information (OSTI), giugno 2010. http://dx.doi.org/10.2172/992328.

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Collins, Joseph B., e Doug Clark. Towards an Ontology of Physics. Fort Belvoir, VA: Defense Technical Information Center, luglio 2014. http://dx.doi.org/10.21236/ada609724.

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Fiorentini, Xenia, Iacopo Gambino, Vei-Chung Liang, Sudarsan Rachuri, Mahesh Mani e Conrad Bock. An ontology for assembly representation. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7436.

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Sriram, Ram D., Conrad Bock, Fabian Neuhaus, Evan Wallace, Mary Brady, Mark A. Musen e Joanne S. Luciano. NIST workshop on ontology evaluation. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7774.

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Eastman, Roger, Craig Schlenoff, Stephen Balakirsky e Tsai Hong. A Sensor Ontology Literature Review. National Institute of Standards and Technology, aprile 2013. http://dx.doi.org/10.6028/nist.ir.7908.

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