20,805 research outputs found

    O4OA Specification

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    This document is the reference ontology specification for the Ontology for Ontological Analysis (O4OA) version 2.6.This work has been developed under the project Digital Knowledge Graph – Adaptable Analytics API with the financial support of Accenture LTD, the Generalitat Valenciana through the CoMoDiD project (CIPROM/2021/023), the Spanish State Research Agency through the DELFOS (PDC2021-121243-I00) and SREC (PID2021-123824OB-I00) projects, MICIN/AEI/10.13039/501 100011033 and co-financed with ERDF and the European Union Next Generation EU/PRTR.Franco Martins Souza, B.; Guizzardi, R.; Pastor López, O. (2023). O4OA Specification. http://hdl.handle.net/10251/19672

    How actors move from primary agency to institutional agency: A conceptual framework and empirical application

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    This article contributes to the understanding of actors and agency in the theorization of institutional work. We analyse institutional work as a specific kind of social action that involves exercising institutional agency (with an articulate awareness of institutions) as opposed to primary agency (taking institutions for granted). We propose a conceptual framework for combining a view of actors, who have agency and may engage in institutional work, with a view of actors as socially constructed, in line with critical-realist ontology. Applying this framework to the empirical case of the Spanish social movement 15M, we examine how actors moved from having primary agency to having institutional agency and how organization mattered for this process. We find that organizing by experienced organizers, the founding of new organizations and prefigurative organization were of crucial importance for the increase in institutional agency

    Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

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    Although African patients use both conventional or modern and traditional healthcare simultaneously, it has been proven that 80% of people rely on African traditional medicine (ATM). ATM includes medical activities stemming from practices, customs and traditions which were integral to the distinctive African cultures. It is based mainly on the oral transfer of knowledge, with the risk of losing critical knowledge. Moreover, practices differ according to the regions and the availability of medicinal plants. Therefore, it is necessary to compile tacit, disseminated and complex knowledge from various Tradi-Practitioners (TP) in order to determine interesting patterns for treating a given disease. Knowledge engineering methods for traditional medicine are useful to model suitably complex information needs, formalize knowledge of domain experts and highlight the effective practices for their integration to conventional medicine. The work described in this paper presents an approach which addresses two issues. First it aims at proposing a formal representation model of ATM knowledge and practices to facilitate their sharing and reusing. Then, it aims at providing a visual reasoning mechanism for selecting best available procedures and medicinal plants to treat diseases. The approach is based on the use of the Delphi method for capturing knowledge from various experts which necessitate reaching a consensus. Conceptual graph formalism is used to model ATM knowledge with visual reasoning capabilities and processes. The nested conceptual graphs are used to visually express the semantic meaning of Computational Tree Logic (CTL) constructs that are useful for formal specification of temporal properties of ATM domain knowledge. Our approach presents the advantage of mitigating knowledge loss with conceptual development assistance to improve the quality of ATM care (medical diagnosis and therapeutics), but also patient safety (drug monitoring)

    Research in progress: report on the ICAIL 2017 doctoral consortium

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    This paper arose out of the 2017 international conference on AI and law doctoral consortium. There were five students who presented their Ph.D. work, and each of them has contributed a section to this paper. The paper offers a view of what topics are currently engaging students, and shows the diversity of their interests and influences

    Barry Smith an sich

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    Festschrift in Honor of Barry Smith on the occasion of his 65th Birthday. Published as issue 4:4 of the journal Cosmos + Taxis: Studies in Emergent Order and Organization. Includes contributions by Wolfgang Grassl, Nicola Guarino, John T. Kearns, Rudolf Lüthe, Luc Schneider, Peter Simons, Wojciech Żełaniec, and Jan Woleński

    Towards a core ontology for information integration

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    In this paper, we argue that a core ontology is one of the key building blocks necessary to enable the scalable assimilation of information from diverse sources. A complete and extensible ontology that expresses the basic concepts that are common across a variety of domains and can provide the basis for specialization into domain-specific concepts and vocabularies, is essential for well-defined mappings between domain-specific knowledge representations (i.e., metadata vocabularies) and the subsequent building of a variety of services such as cross-domain searching, browsing, data mining and knowledge extraction. This paper describes the results of a series of three workshops held in 2001 and 2002 which brought together representatives from the cultural heritage and digital library communities with the goal of harmonizing their knowledge perspectives and producing a core ontology. The knowledge perspectives of these two communities were represented by the CIDOC/CRM [31], an ontology for information exchange in the cultural heritage and museum community, and the ABC ontology [33], a model for the exchange and integration of digital library information. This paper describes the mediation process between these two different knowledge biases and the results of this mediation - the harmonization of the ABC and CIDOC/CRM ontologies, which we believe may provide a useful basis for information integration in the wider scope of the involved communities

    Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study

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    [EN] This paper conducts an empirical study that explores the differences between adopting a traditional conceptual modeling (TCM) technique and an ontology-driven conceptual modeling (ODCM) technique with the objective to understand and identify in which modeling situations an ODCM technique can prove beneficial compared to a TCM technique. More specifically, we asked ourselves if there exist any meaningful differences in the resulting conceptual model and the effort spent to create such model between novice modelers trained in an ontology-driven conceptual modeling technique and novice modelers trained in a traditional conceptual modeling technique. To answer this question, we discuss previous empirical research efforts and distill these efforts into two hypotheses. Next, these hypotheses are tested in a rigorously developed experiment, where a total of 100 students from two different Universities participated. The findings of our empirical study confirm that there do exist meaningful differences between adopting the two techniques. We observed that novice modelers applying the ODCM technique arrived at higher quality models compared to novice modelers applying the TCM technique. More specifically, the results of the empirical study demonstrated that it is advantageous to apply an ODCM technique over an TCM when having to model the more challenging and advanced facets of a certain domain or scenario. Moreover, we also did not find any significant difference in effort between applying these two techniques. Finally, we specified our results in three findings that aim to clarify the obtained results. (C) 2018 Elsevier Ltd. All rights reserved.This research has been funded by the Ghent University Special Research Fund (BOF 01N02014) and the National Bank of Belgium.Verdonck, M.; Gailly, F.; Pergl, R.; Guizzardi, G.; Franco Martins, B.; Pastor López, O. (2019). Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study. Information Systems. 81:92-103. https://doi.org/10.1016/j.is.2018.11.009S921038

    Ontological foundations for structural conceptual models

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    In this thesis, we aim at contributing to the theory of conceptual modeling and ontology representation. Our main objective here is to provide ontological foundations for the most fundamental concepts in conceptual modeling. These foundations comprise a number of ontological theories, which are built on established work on philosophical ontology, cognitive psychology, philosophy of language and linguistics. Together these theories amount to a system of categories and formal relations known as a foundational ontolog

    Key steps for the construction of a glossary based on FunGramKB Term Extractor and referred to international cooperation against organised crime and terrorism

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    The employment of new technological instruments for the processing of natural languages is crucial to improve the way humans interact with machines. The Functional Grammar Knowledge Base (FunGramKB henceforth) has been designed to cover Natural Language Processing (NLP henceforth) tasks in the area of Artificial Intelligence. The multipurpose lexical conceptual knowledge base FunGramKB is capable of combining linguistic knowledge and human cognitive abilities within its system as a whole. The conceptual module of FunGramKB contains both common-sense knowledge (Ontology), procedural knowledge (Cognicon) as well as knowledge about named entities representing people, places, organisations or other entities (Onomasticon). The Onomastical component is used to process the information from the perspective of specialised discourse. The definition in Natural Language of a consistent list of encyclopaedic terms existent referred to the legislation and to entities which fight against organised crime and terrorism existent in the GCTC would be the stepping stone for the future development of the Onomasticon. The FunGramKB Term Extractor (FGKBTE henceforth) is used to process the information. To cope with the inclusion of the terms in the Onomasticon according to the Conceptual Representation Language (COREL henceforth) schemata, the DBpedia project has been of paramount importance to develop specific patterns for the structure of the definitions.El empleo de nuevas herramientas tecnológicas para el Procesamiento del Lenguaje Natural (PLN en adelante) es fundamental para mejorar la forma en que las máquinas se relacionan con los seres humanos. FunGramKB ha sido diseñada para abordar tareas de PLN inmersas en el área de la Inteligencia Artificial. La base de conocimiento léxico conceptual multipropósito FunGramKB es capaz de combinar el conocimiento lingüístico con las habilidades cognitivas humanas dentro de su sistema como conjunto. El modulo conceptual de FunGramKB se basa en el sentido común (Ontología) y en el conocimiento procedimental (Cognicón), a la vez que en el conocimiento sobre entidades nombradas que representan personas, lugares, organizaciones u otras entidades (Onomasticon). La definición en Lenguaje Natural de una lista consistente de términos enciclopédicos concerniente tanto a instrumentos legales como a organizaciones que luchan contra el crimen organizado y el terrorismo que se ha incluido en el GCTC supondrá un gran adelanto en aras al futuro desarrollo del Onomasticon. El FGKBTE se usa para procesar la información. Con vistas a incluir los términos en el Onomasticón de acuerdo al esquema COREL, el proyecto DBpedia ha sido de una importancia fundamental para desarrollar patrones determinados con los que estructurar las definiciones.Universidad de Granada. Departamento de Filologías Inglesa y Alemana. Máster en Lingüística y Literatura Inglesas, curso 2013-201
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