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Articoli di riviste sul tema "Ontology"

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Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 31 luglio 2024

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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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2

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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Li, Ting Shun, e Ling Na Meng. "Research on the Construction Method of Ontology Knowledge Base in Smart Grid Based on Dynamic Description Logic". Applied Mechanics and Materials 494-495 (febbraio 2014): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1636.

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With the principle of dynamic description logic, which introduces the concept of grid domain ontologys knowledge representation, a system is built that can be shared by each businesses ontology knowledge base in smart grid. First, combine attributive concept language with complements language using dynamic description logic with ALC language to build a smart grid domain ontology. And then use the ontology knowledge to build the final ontology knowledge base that can greatly improve the efficiency of information query and clearly express the basic concepts, properties, processing methods and internal relations of the smart grid domain knowledge, which is conducive to promote China's smart grid construction.

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WANG, YAPING, GUIHUA HAN, JIANGHUA GE, JINGRUI QI e JIANYUAN XU. "RESEARCH ON DESIGN METHOD OF DEMAND-DRIVEN PRODUCT CONFIGURATION FOR MASS CUSTOMIZATION". Journal of Advanced Manufacturing Systems 10, n. 01 (giugno 2011): 117–25. http://dx.doi.org/10.1142/s0219686711002053.

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This paper proposed demand-driven personalized product configuration design method. A variety of customer orders were clustered and fuzzy transformed; using ontology's feature to establish customer demand ontology model; in order to enable the product family to meet the dynamic demand of customers, established mapping relationship of customer demands and product family; using ontology to express product family model, achieved mapping of customer needs ontology and product family ontology, and improved efficiency of product configuration. Finally, we take planetary reducer as an example to demonstrate the feasibility of the method.

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Supriyati, Endang. "FUZZY FORMAL CONCEPT ANALYSIS UNTUK KEMIRIPAN DOKUMEN". Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 1, n. 1 (29 giugno 2013): 21. http://dx.doi.org/10.24176/simet.v1i1.111.

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ABSTRAK Fuzzy logic dapat dimasukkan ke dalam ontologi untuk representasi ketidakpastian informasi yang ditemukan di banyak aplikasi domain karena kurangnya jelas batas-batas antara konsep domain. Fuzzy ontologi dihasilkan dari konsep hirarki yang telah ditetapkan. Namun, untuk membangun sebuah konsep hirarki untuk domain tertentu dapat menjadi tugas yang sulit dan membosankan. Untuk mengatasi masalah ini, diusulkan Fuzzy Formal Concept Analysis(FFCA). Titik awal dari metode diusulkan dalam paper ini adalah definisi dari konteks , relasi kemiripan pada domain ontologi kemudian memetakan ke dalam concept lattice. Dengan penggunaan tool lattice navigator,metode yang diusulkan mampu mengelompokkan domain ontology secara efektif. Kata Kunci: Ontology, Formal Concept Analysis, Fuzzy Formal Concept Analysis,konsep Lattice

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Saf, Maksum Rois Adin. "Pemodelan Ontologi Rekam Medis dengan Pendekatan Landasan Hukum Rekam Medis dan Relational Database". PETIR 13, n. 2 (12 settembre 2020): 180–89. http://dx.doi.org/10.33322/petir.v13i2.988.

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ABSTRACT Medical Record is one of confidential file that has a definite legal basis included in its management.Nowdays electronic medical record was developed rapidly, but the implementation of the legal basisfor medical records in the information system has not been carried out properly. Furthermore theconceptualization of the legal basis of medical records into the ontology model produces a modelthat is not easily translated into a medical record management information system design. In thisresearch. This study uses the Architecture Analysis method of Tradeoff Method to create a relationaldatabase model and then converted into an ontology with the RTAXON method. The results of thisresearch are medical record ontology models that meet the legal requirements and have ease ofimplementation in the information system. Based on the OntoQA method on the results of theontology modeling has value of Relationship Richness (RR) = 0.78, this ontology is information richor diverse and has more non-inheritance relations. Value of Attribute Richness (AR) = 6.6 , thisontology has a lot of information with an average of each class having 6 attributes. The value ofInheritance Richness (IR) = 4.5, this ontology has general knowledge, when compared with theprevious ontology there is between PSM and SWETO. ABSTRAK Rekam Medis merupakan bagian dari berkas khusus yang memiliki landasan hukum pasti dalampengelolaanya oleh instansi yang diizinkan. Pesatnya perkembangan teknologi informasi membuatpengembangan sistem informasi pengelolaan rekam medis banyak dilakukan oleh berbagai pihak,akan tetapi implementasi landasan hukum rekam medis ke dalam sistem informasi tersebut belumdilakukan secara baik. Di lain sisi konseptualisasi landasan hukum rekam medis ke dalam modelontologi menghasilkan model yang tidak mudah diterjemahkan ke dalam sebuah rancangan sisteminformasi pengelolaan rekam medis. Pada penelitian ini dilakukan proses konseptualisasi danvisualisasi rekam medis dengan menggabungkan metode pengembangan ontologi denganpendekatan model database relasional untuk menghasilkan sebuah model ontologi yang memenuhiseluruh aspek landasan hukum rekam medis dan juga mudah digunakan untuk pengembangan sisteminformasi pengelolaan rekam medis. Penelitian ini menggunakan metode Architecture TradeoffAnalysis Method untuk menghasilkan rancangan Database Relational yang kemudian dikonversikanmenjadi ontologi dengan metode RTAXON. Hasil dari peneltian ini adalah sebuah model ontologirekam medis yang memenuhi kepatuhan terhadap aturan perundangan dan memiliki kemudahanuntuk diimplementasikan ke dalam sistem informasi. Berdasarkan pengujian dengan metodeOntoQA pada hasil pemodelan ontologi yang dibuat, diperoleh nilai Relationship Richness (RR) = 0,78, yang artinya ontologi ini bersifat kaya informasi atau berragam dan lebih banyak relasi non-inheritance.Dannilai Attribute Richness (AR) = 6,6, yang artinya ontologi ini memiliki informasi yang banyak dengan rata-rata setiap class memiliki 6 attribute. Adapun nilai Inhertitance Richness(IR) = 4,5, yang artinya ontologi ini memiliki pengetahuan yang umum, jika dibandingkan denganontologi terdahulu ada diantara PSM dan SWETO.

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Schenk, Paulina M., Janna Hastings e Susan Michie. "Developing the Mental Health Ontology: Protocol for a step-wise method to develop an ontology for the mental health domain as part of the GALENOS Project". Wellcome Open Research 9 (15 febbraio 2024): 40. http://dx.doi.org/10.12688/wellcomeopenres.20701.1.

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Background Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos. This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions. To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis. An ontology (a classification and specification framework) for the domain of mental health is being created to organise and synthesise evidence within these reviews. It will also be an aid to synthesising evidence in the wider mental health field. Aim The aim of the study is to develop a Mental Health Ontology that includes entities with clear and unique labels and definitions to describe and synthesise evidence about mental health. Methods We will develop the Mental Health Ontology through six steps: (1) defining the ontology’s scope; (2) identifying, labelling and defining the ontology’s entities for the GALENOS living systematic reviews; (3) identifying and refining entities and their structure by drawing on existing classification frameworks; (4) refining entities via iterative stakeholder consultations regarding the ontology’s clarity and comprehensiveness; (5) formally specifying the relationships between entities in the Mental Health Ontology; and (6) making the ontology machine-readable and available online. Conclusion and discussion The Mental Health Ontology supports the formal representation of complex entities within mental health and their relationships. It will enable more explicit and precise communication about mental health across research groups and disciplines, and evidence synthesis across different sources. By being computer readable, the ontology can also be harnessed within algorithms that support automated categorising, retrieving and synthesising evidence.

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Kraut, Robert. "Ontology". Monist 95, n. 4 (2012): 684–710. http://dx.doi.org/10.5840/monist201295434.

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Ross, J. F. "Ontology". International Philosophical Quarterly 45, n. 1 (2005): 140–42. http://dx.doi.org/10.5840/ipq200545177.

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Beach, John, e Alexandra Leduc. "Ontology". Symposium 5, n. 1 (2001): 139–42. http://dx.doi.org/10.5840/symposium20015114.

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Hammond, Blaine. "Ontology". Psychological Perspectives 47, n. 1 (gennaio 2004): 147. http://dx.doi.org/10.1080/00332920408407136.

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Nasution, M. K. M. "Ontology". Journal of Physics: Conference Series 1116 (dicembre 2018): 022030. http://dx.doi.org/10.1088/1742-6596/1116/2/022030.

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Peelen, Mary. "Ontology". Pleiades: Literature in Context 39, n. 1 (2019): 181. http://dx.doi.org/10.1353/plc.2019.0053.

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Rossi, Rafael. "Geografia e Ontologia Marxiana Geography and Marxian Ontology". GEOGRAFIA (Londrina) 25, n. 2 (1 dicembre 2016): 79. http://dx.doi.org/10.5433/2447-1747.2016v25n2p79.

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De modo geral a Geografia é tratada apenas do ponto de vista gnosiológico enquanto um ramo da ciência que se especializou no estudo das diferentes dimensões físicas, sociais e outras que produzem o espaço geográfico. Certamente a Geografia é, também, uma ciência própria, específica. Todavia, propomos neste artigo uma reflexão de ordem ontológica materialista a respeito da Geografia. Neste sentido, podemos compreendê-la enquanto um complexo universal, ou seja, ontológico do ser social. Para demonstrar a necessidade deste raciocínio e deste modo de encarar esta problemática, trazemos as contribuições do filósofo húngaro Gyrogy Lukács, em especial, no tocante à sua monumental Ontologia do Ser Social, pois nesta obra há reflexões imprescindíveis para a compreensão a respeito da constituição do mundo dos homens numa perspectiva eminentemente crítica, radical e revolucionária. AbstractIn general geography is treated just the gnoseological point of view, as a branch of science that specializes in the study of different physical, social and other that produces the geographical space. Certainly Geography is also a separate, specific science. However, in this article we propose a materialist ontological reflection on Geography. In this sense, we can understand it as a universal complex, ie the ontological social being. To demonstrate the need for this reason and this way of looking at this issue, we bring the contributions of the Hungarian philosopher Gyrogy Lukács, in particular with regard to its monumental Ontology of Social Being, because this work there are reflections essential for understanding on the formation of world of men in a highly critical perspective, radical and revolutionary.

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Rossetto, Cléo, e Eduardo José Afonso. "Direito, Estética e Ontologia Law, Aesthetics and Ontology". Saber Humano: Revista Científica da Faculdade Antonio Meneghetti 3, n. 4 (23 marzo 2013): 46. http://dx.doi.org/10.18815/sh.2013v3n4.40.

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Este trabalho de pesquisa, assentado em levantamento bibliográfico, visa correlacionar direito, estética e ontologia, culminando com a apresentação de um novo critério epistêmico do direito - autopoiético ôntico-humanista. Este critério, além contribuir na harmonização das relações sociais, possibilita a reimpostação do campo jurídico, com o incremento de valores humanistas. Urge a reformulação do campo jurídico em face do dinamismo e instabilidade social contemporânea. Aborda-se a importância da relação homem-sociedade e recíproco processo de construção. Explicitam-se algumas características do homem, em especial àquelas consideradas na renascença, na linha de Pico Della Mirandola. Desenvolve-se o conceito de Em Si – descoberta da Ontopsicologia – e, particulamente, uma de suas características, a estética. Do núcleo de inteligência ôntica emana a devida proporção. Sem descurar da moral sistêmica propõe-se a adoção da inteligência ôntica como novo critério epistêmico do Direito, possibilitando a reimpostação do campo jurídico e o fortalecimento do homem.

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Scarpato, Noemi, Nicole Dalia Cilia e Marco Romano. "Reachability Matrix Ontology: A Cybersecurity Ontology". Applied Artificial Intelligence 33, n. 7 (25 marzo 2019): 643–55. http://dx.doi.org/10.1080/08839514.2019.1592344.

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Idoudi, Rihab, Karim Saheb Ettabaa, Basel Solaiman e Kamel Hamrouni. "Ontology Knowledge Mining for Ontology Alignment". International Journal of Computational Intelligence Systems 9, n. 5 (2 settembre 2016): 876–87. http://dx.doi.org/10.1080/18756891.2016.1237187.

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Dodd, Julian. "Musical Works: Ontology and Meta-Ontology". Philosophy Compass 3, n. 6 (novembre 2008): 1113–34. http://dx.doi.org/10.1111/j.1747-9991.2008.00173.x.

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Giudicelli, V., e M. P. Lefranc. "Ontology for immunogenetics: the IMGT-ONTOLOGY". Bioinformatics 15, n. 12 (1 dicembre 1999): 1047–54. http://dx.doi.org/10.1093/bioinformatics/15.12.1047.

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Williams, Jennifer, e William Andersen. "Bringing Ontology to the Gene Ontology". Comparative and Functional Genomics 4, n. 1 (2003): 90–93. http://dx.doi.org/10.1002/cfg.253.

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Jacky, Emiliano. "Coaching ontológico y violencia: notas de apertura para una investigación por venir". Castalia - Revista de Psicología de la Academia, n. 39 (31 gennaio 2023): 19–33. http://dx.doi.org/10.25074/07198051.39.2393.

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Con este artículo deseo compartir un conjunto de hallazgos sobre la práctica del coaching ontológico que pueden servir para desarrollar las preguntas que formula el dossier sobre ontología y violencia. Se trata de un trabajo que vengo realizando junto al Grupo de Estudios sobre Problemas Sociales y Filosóficos, Instituto de Investigaciones Gino Germani, Universidad de Buenos Aires, que inscribo en el dominio de la ontología social, y que tiene su primer avance en el libro colectivo Vidas diseñadas: Crítica del coaching ontológico. En un primer momento, caracterizo la perspectiva analítica desde donde entiendo la ontología social, a saber, el nominalismo relacional. A continuación, despliego algunas preguntas generales sobre el enunciado “ontologías de la violencia, violencias de la ontología”. Finalmente, retomo ciertas escenas de este singular tipo de coaching y verifico cuatro vinculaciones situadas entre ontología y violencia. -- With this article I wish to share a set of findings on the practice of ontological coaching that can be used to develop the questions posed in the dossier on ontology and violence. This is a work that I have been doing together with our Group of Studies on Social and Philosophical Problems (GEPSyF/ IIGG-UBA), which I inscribe in the domain of social ontology, and which has its first advance in the collective book Vidas diseñadas. Crítica del coaching ontológico. First, I characterize the analytical perspective from which I understand social ontology, that is, relational nominalism. Then, I deploy some general questions about the statement "ontologies of violence, violences of ontology". Finally, I take up certain scenes of this singular type of coaching and verify four situated links between ontology and violence.

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Arias Domínguez, Asier. "El embrollo causal del naturalismo biológico". Daimon, n. 92 (1 maggio 2024): 131–43. http://dx.doi.org/10.6018/daimon.458871.

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Biological naturalism’s mental ontology decisively depends on the notion of causality. However, Searle does not embed this notion in his ontology in dialogue with the relevant scientific and philosophical literature, but rather guided by a certain sort of intuitive verisimilitude. Taking Bunge’s general ontology as a background, we discuss two important problems rooted in this shallow treatment of causality: the first one has to do with the fact that Searlean emergentism builds upon a categorical error between properties and processes; the second one with the fact that Searle’s only argument for anti-reductionism contradicts the rest of his ontology of the mental. La ontología de lo mental del naturalismo biológico depende decisivamente de la noción de causalidad. No obstante, Searle no incardina dicha noción en su ontología en diálogo con la literatura científica y filosófica relevante, sino antes bien orientado por cierta suerte de verosimilitud intuitiva. Sobre el trasfondo de la ontología general de Mario Bunge, discutimos dos importantes problemas derivados de este somero tratamiento de la causalidad: por una parte, que el emergentismo searleano se alza sobre la base de un error categorial entre propiedades y procesos; por otra, que el único argumento de Searle en favor del antirreduccionismo se encuentra en contradicción con el resto de su ontología de lo mental.

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Wu, J. Z., X. Yu e W. Gao. "Distance computation of ontology vector for ontology similarity measuring and ontology mapping". Journal of Difference Equations and Applications 23, n. 1-2 (3 marzo 2016): 30–41. http://dx.doi.org/10.1080/10236198.2016.1148147.

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Norris, Emma, Marta M. Marques, Ailbhe N. Finnerty, Alison J. Wright, Robert West, Janna Hastings, Poppy Williams et al. "Development of an Intervention Setting Ontology for behaviour change: Specifying where interventions take place". Wellcome Open Research 5 (10 giugno 2020): 124. http://dx.doi.org/10.12688/wellcomeopenres.15904.1.

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Background: Contextual factors such as an intervention’s setting are key to understanding how interventions to change behaviour have their effects and patterns of generalisation across contexts. The intervention’s setting is not consistently reported in published reports of evaluations. Using ontologies to specify and classify intervention setting characteristics enables clear and reproducible reporting, thus aiding replication, implementation and evidence synthesis. This paper reports the development of a Setting Ontology for behaviour change interventions as part of a Behaviour Change Intervention Ontology, currently being developed in the Wellcome Trust funded Human Behaviour-Change Project. Methods: The Intervention Setting Ontology was developed following methods for ontology development used in the Human Behaviour-Change Project: 1) Defining the ontology’s scope, 2) Identifying key entities by reviewing existing classification systems (top-down) and 100 published behaviour change intervention reports (bottom-up), 3) Refining the preliminary ontology by literature annotation of 100 reports, 4) Stakeholder reviewing by 23 behavioural science and public health experts to refine the ontology, 5) Assessing inter-rater reliability of using the ontology by two annotators familiar with the ontology and two annotators unfamiliar with it, 6) Specifying ontological relationships between setting entities and 7) Making the Intervention Setting Ontology machine-readable using Web Ontology Language (OWL) and publishing online. Results: The Intervention Setting Ontology consists of 72 entities structured hierarchically with two upper-level classes: Physical setting including Geographic location, Attribute of location (including Area social and economic condition, Population and resource density sub-levels) and Intervention site (including Facility, Transportation and Outdoor environment sub-levels), as well as Social setting. Inter-rater reliability was found to be 0.73 (good) for those familiar with the ontology and 0.61 (acceptable) for those unfamiliar with it. Conclusion: The Intervention Setting Ontology can be used to code information from diverse sources, annotate the setting characteristics of existing intervention evaluation reports and guide future reporting.

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Schenk, Paulina M., Robert West, Oscar Castro, Emily Hayes, Janna Hastings, Marie Johnston, Marta M. Marques et al. "An ontological framework for organising and describing behaviours: The Human Behaviour Ontology". Wellcome Open Research 9 (8 maggio 2024): 237. http://dx.doi.org/10.12688/wellcomeopenres.21252.1.

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Background Human behaviours have been classified in areas such as health, occupation and sustainability. We aimed to develop a more broadly applicable framework for behaviours to facilitate integrating evidence across domains. Methods The Human Behaviour Ontology (HBO), a part of the Behaviour Change Intervention Ontology (BCIO), was developed by: (1) specifying the ontology’s scope, (2) identifying candidate classes from existing classifications, (3) refining the ontology by applying it to code behaviours in relevant literature, (4) conducting a stakeholder review with behavioural and ontology experts, (5) testing the inter-rater reliability of its use in annotating research reports, (6) finalising classes and adding relations between classes, and (7) publishing the ontology’s computer-readable version. Results A class labelled ‘individual human behaviour’ was defined as “A bodily process of a human that involves co-ordinated contraction of striated muscles controlled by the brain.” In Steps 1-4, the ontology’s initial version was developed, with 128 classes. The inter-rater reliability for applying this version in annotations was 0.63 for researchers familiar with it and, after minor adjustments to the ontology and annotation guidance, 0.74 for researchers unfamiliar with it. Following Steps 5-6, the ontology was published with 177 classes, including 128 individual human behaviour classes organised under upper-level classes relating to (1) experiences (e.g., playing), (2) expressive (e.g., laughing), (3) harm (e.g., self-injury behaviour), (4) health (e.g., undergoing vaccination), (5) life-function (e.g., breathing behaviour), (6) interacting with materials (e.g., consumption), (7) bodily care (e.g., washing), (8) position (e.g., walking), and (9) social environments (e.g., communication). The remaining 49 classes included: ‘individual human behaviour pattern’ for repeated behaviours, ‘population behaviour’, ‘population behaviour pattern’, behavioural attributes (e.g., impulsiveness), and abstinence from behaviour. Relations were also defined to represent timings, locations, participants, mental processes, functions, goals, and outcomes. Conclusions The HBO potentially provides a coherent framework for describing human behaviours.

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DASTGHEIB, SHIMA, ARSHAM MESBAH e KRYS KOCHUT. "MONTAGE: CREATING SELF-POPULATING DOMAIN ONTOLOGIES FROM LINKED OPEN DATA". International Journal of Semantic Computing 07, n. 04 (dicembre 2013): 427–53. http://dx.doi.org/10.1142/s1793351x1340014x.

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Domain-specific ontologies have become integral components of numerous semantic- and knowledge-based applications. However, creating such ontologies and populating them with correct individuals is a difficult and time-consuming process. Recently, a vast amount of knowledge has become available as part of the Linked Open Data (LOD) project, which includes data sets in multiple areas. In this paper, we present mOntage, a novel ontology design and population framework, which allows a domain expert to easily define a domain ontology schema and specify the ontology's classes and properties in terms of the subsets of the existing LOD data sources. The classes and properties of the ontology being created can be defined either directly, in terms of existing LOD-available classes and properties, or can be newly constructed by the domain expert. The definitions, called maps, are encoded as part of the ontology itself, effectively converting it into a self-populating ontology. Finally, a dedicated software system automatically populates the ontology with instances obtained from the selected LOD sources by executing suitable SPARQL queries. We illustrate our framework by creating Cancer Treatment ontology in the area of biomedicine.

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RUCKHAUS, EDNA, EDUARDO RUIZ e MARÍA-ESTHER VIDAL. "Query evaluation and optimization in the semantic web". Theory and Practice of Logic Programming 8, n. 3 (maggio 2008): 393–409. http://dx.doi.org/10.1017/s1471068407003225.

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AbstractWe address the problem of answering Web ontology queries efficiently. An ontology is formalized as adeductive ontology base(DOB), a deductive database that comprises the ontology's inference axioms and facts. A cost-based query optimization technique for DOB is presented. A hybrid cost model is proposed to estimate the cost and cardinality of basic and inferred facts. Cardinality and cost of inferred facts are estimated using an adaptive sampling technique, while techniques of traditional relational cost models are used for estimating the cost of basic facts and conjunctive ontology queries. Finally, we implement a dynamic-programming optimization algorithm to identify query evaluation plans that minimize the number of intermediate inferred facts. We modeled a subset of the Web ontology language Lite as a DOB and performed an experimental study to analyze the predictive capacity of our cost model and the benefits of the query optimization technique. Our study has been conducted over synthetic and real-world Web ontology language ontologies and shows that the techniques are accurate and improve query performance.

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Smyrnaios, Anthony L. "From Ontology to Ontologies to Trans-Ontology". Forum Philosophicum 21, n. 1 (2016): 73–93. http://dx.doi.org/10.5840/forphil20162115.

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Smyrnaios, Anthony. "From Ontology to Ontologies to Trans-Ontology". Forum Philosophicum 21, n. 1 (1 novembre 2016): 73–93. http://dx.doi.org/10.35765/forphil.2016.2101.05.

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This paper describes the implications of the transition from Ontology conceived as fundamental metaphysical logos to ontologies construed as postmodern historical applications of this, and then, finally, to Trans-Ontology as the ultimate, futuristic innovation of Transhumanism. If modernity counts as the key shift that has occurred in our living and understanding of the world since the dawn of history, postmodernism seems to be the record of a transition from the absolute Grand Narratives of modernity to a scenario consisting of polycentric, equally justified narratives. Thus, the historical failure of the old Ontology, in the form of monarchy, absolutism, monotheistic religions, Eurocentrism, and nationalism, entails the plurality of approaches and diversity of flexible transformations of ontologies. Yet such a purportedly liberating evolution is encountered en route to the likewise postmodern trans-humanist impulse that aims at a complete transformation of the traditional human essence by means of a theurgist, miraculous, Trans-Theological technology. The latter’s goal is to normalize the arrival of a paradoxically innovative universe, where transhuman beings will rebuild the world, and re-essentialize it. Ultimately, this universal integralism will be based on an ever-growing ludic character, coupled with a mathematically scheduled playfulness, aiming at a transformed, fully integrated and manageable entity.

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Schtein, Sergey Yu. "ONTOLOGY OF CINEMA AND ONTOLOGY OF ANIMATION". RSUH/RGGU Bulletin. Series Philosophy. Social Studies. Art Studies, n. 1 (2016): 106–16. http://dx.doi.org/10.28995/2073-6401-2016-1-106-116.

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Wouters, Carlo, Tharam Dillon, Wenny Rahayu e Elizabeth Chang. "Large scale ontology visualisation using ontology extraction". International Journal of Web and Grid Services 1, n. 1 (2005): 113. http://dx.doi.org/10.1504/ijwgs.2005.007552.

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Flahive, A., D. Taniar, W. Rahayu e B. O. Apduhan. "Ontology expansion: appending with extracted sub-ontology". Logic Journal of IGPL 19, n. 5 (26 maggio 2010): 618–47. http://dx.doi.org/10.1093/jigpal/jzq016.

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Idoudi, Rihab, Karim Saheb Ettabaa, Basel Solaiman e Kamel Hamrouni. "Ontology knowledge mining for ontology conceptual enrichment". Knowledge Management Research & Practice 17, n. 2 (30 novembre 2018): 151–60. http://dx.doi.org/10.1080/14778238.2018.1538599.

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Ma, Yinglong, Shaohua Liu, Beihong Jin e Gang Xu. "Inconsistent ontology revision based on ontology constructs". Expert Systems with Applications 37, n. 10 (ottobre 2010): 7269–75. http://dx.doi.org/10.1016/j.eswa.2010.04.001.

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Copp, David. "The Ontology of Putnam’s Ethics without Ontology". Contemporary Pragmatism 3, n. 2 (21 aprile 2006): 39–53. http://dx.doi.org/10.1163/18758185-90000046.

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Noy, N. F., e M. A. Musen. "Ontology versioning in an ontology management framework". IEEE Intelligent Systems 19, n. 4 (luglio 2004): 6–13. http://dx.doi.org/10.1109/mis.2004.33.

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Mikhail Mikhailovich, Prokhorov. "Ontology of knowledge and ontology of faith". Arts & Humanities Open Access Journal 5, n. 1 (2 marzo 2023): 59–63. http://dx.doi.org/10.15406/ahoaj.2023.05.00187.

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Lauer, Richard. "Is Social Ontology Prior to Social Scientific Methodology?" Philosophy of the Social Sciences 49, n. 3 (9 aprile 2019): 171–89. http://dx.doi.org/10.1177/0048393119840328.

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In this article, I examine “Ontology Matters!” (OM!) arguments. OM! arguments conclude that ontology can contribute to empirical success in social science. First, I capture the common form between different OM! arguments. Second, I describe quantifier variance as discussed in metaontology. Third, I apply quantifier variance to the common form of OM! arguments. I then present two ways in which ontology is prior to social science methodology, one realist and one pragmatic. I argue that a pragmatic interpretation of ontology’s priority gives proponents of realist OM! arguments a special burden that they must meet to render their argument successful.

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Fazriani, Aini, Wisnu Ananta Kusuma e Irmanida Batubara. "Sistem Berbasis Pengetahuan Tumbuhan Obat Pusat Studi Biofarmaka". Jurnal Jamu Indonesia 4, n. 1 (29 marzo 2019): 17–27. http://dx.doi.org/10.29244/jji.v4i1.88.

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Jamu terdiri atas berbagai macam tumbuhan obat yang diolah. Tumbuhan obat memiliki kandungan senyawa metabolit sekunder yang berperan sebagai khasiat. Pengetahuan tumbuhan obat beserta senyawanya perlu dikembangkan lagi menjadi pengetahuan eksplisit yang lebih spesifik dan mudah dimengerti sehingga berguna untuk masyarakat. Maka dari itu perlu mengembangkan sistem untuk digunakan oleh masyarakat sehingga pengobatan dengan tanaman obat lebih populer di kalangan masyarakat luas. Penelitian yang dilakukan mengenai manajemen pengetahuan berbasis ontologi terkait dengan tumbuhan obat dan senyawa. Penelitian ini menggunakan pendekatan proses manajemen pengetahuan model SECI, selain itu pengembangan ontologi menggunakan metode Ontology building life cycle, sedangkan bahasa representasi yang digunakan adalah Resource Description Framework (RDF) dan Web Ontology Language (OWL) dengan toolsProtégé5.0. Pengembangan model ontologi dengan bahasa representasi RDF/OWL dapat menghasilkan pengetahuan dengan melakukan query menggunakan SPARQL. Hasil query tersebut dapat digunakan untuk diimplementasikan pada mobile.

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Abdullah, Noryusliza, e Rosziati Ibrahim. "Application-Based Ontology Engineering". International Journal of Future Computer and Communication 3, n. 3 (2014): 177–81. http://dx.doi.org/10.7763/ijfcc.2014.v3.291.

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CESALLI, Laurent, e Hamid TAIEB. "Brentano and Medieval Ontology". PHENOMENOLOGICAL STUDIES-Revista da Abordagem Gestáltica 24, n. 3.e (2018): 417–28. http://dx.doi.org/10.18065/rag.2018v24ne.1.

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Reyes Peña, Cecilia, Mireya Tovar Vidal e Concepción Stephanie Vázquez González. "Creation of a consulting tool and implementation of an ontology for a Master’s Degree Program in Computer Sciences". Revista Colombiana de Computación 19, n. 1 (1 giugno 2018): 29–38. http://dx.doi.org/10.29375/25392115.3227.

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In this paper, a manual ontology for a Computer Sciences Master program constructed, that uses some elements from the METHONTOLOGY, Grüninger and Fox, and Bravo’s methodologies, is presented. A series of steps to identify and represent the Master’s Degree program’s knowledge base has been followed. Afterwards, first order logic axioms and competency questions to evaluate the ontology are used. The development of a module written in Python language is used for evaluating the ontology through competency questions defined during design phase. This module is flexible enough to present predefined or defined questions by the user in running time and to obtain results to the queries representing the competency questions. Elements as a hierarchy class diagram and a description of the relations and attributes are used in this ontology’s construction. Keywords: Ontology; Python tool; SPARQL language.

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