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نتیجه جستجو - هستی شناسی ها

تعداد مقالات یافته شده: 5
ردیف عنوان نوع
1 Knowledge-Based Management of Virtual Training Scenarios
مدیریت دانش محور سناریوهای آموزش مجازی-2021
Virtual reality (VR) gains increasing attention as a method of implementing training systems in different domains, in particular, when real training is potentially dangerous for the trainees or the environment, or requires expensive equipment. The essential element of professional training is domain-specific knowledge, which can be represented using the semantic web approach. It enables reasoning as well as complex queries against the representation of training scenarios, which can be valuable for teaching purposes. However, the available methods and tools for creating VR training systems do not use semantic knowledge representation. Currently, the creation, modification, and management of training scenarios require skills in programming and computer graphics. Hence, they are unavailable to domain experts without expertise in IT. In this paper, we propose an ontology-based representation and a method of modeling VR training scenarios. In our approach, trainees’ activities, potential mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We illustrate the approach by modeling VR training scenarios for electrical operators of high-voltage installations.
Keywords: semantic web | knowledge representation | ontologies | training | virtual reality | 3D content
مقاله انگلیسی
2 Knowledge reuse for ontology modelling in Maintenance and Industrial Asset Management
استفاده از دانش برای مدل سازی هستی شناسی در مدیریت نگهداری و مدیریت دارایی صنعتی-2021
Maintenance and Industrial Asset Management (AM) are fundamental business processes in guaranteeing the availability of physical assets at minimum risk and cost, while balancing the interests of several stakeholders. To reach operational excellence, intra- and inter-enterprise interoperability of systems is needed to support infor- mation management and integration between several involved parties. To this end, ontology engineering is relevant since it supports interoperability at technical and semantic levels. However, ontology modelling methodologies are varied, and several best practices exist, amongst which knowledge reuse. Nevertheless, reusing extant knowledge is not completely exploited so far, causing a heterogeneous ensemble of ontologies that are not orchestrated. The present work aims at promoting the adoption of knowledge reuse for ontology modelling in maintenance and AM. Therefore, an extensive review of existing ontologies for the two targeted business processes is performed with a twofold objective: firstly, to realise a cross-industrial ontological com- pendium, and secondly to understand the state of art of ontology modelling in maintenance and AM. To support the adoption of knowledge reuse, this practice is framed in AMODO (Asset Management Ontology Development methOdology). Finally, a laboratory-sized showcase is provided to prove the usefulness of relying on knowledge reuse during the ontology development. The results show that the developed ontology is realised faster and is inherently aligned with established ontologies, towards enterprise systems interoperability. Consequently, maintenance and AM business processes may rely on information management and integration to pursue operational excellence.
keywords: هستی شناسی | استفاده مجدد از دانش | قابلیت همکاری | نگهداری | مدیریت دارایی | Ontology | Knowledge reuse | Interoperability | Maintenance | Asset management
مقاله انگلیسی
3 Legal ontologies over time: A systematic mapping study
هستی شناسی های قانونی با گذشت زمان: یک مطالعه نگاشت سیستماتیک-2019
Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual models for knowledge repre- sentation and reasoning, known as Legal Ontologies. Ontologies have been widely used by legal prac- titioners, scholars, and lay people in a variety of situations, such as simulating legal actions, semantic search and indexing, and to keep up-to-date with the continual change of laws and regulations. Given the high number of legal ontologies produced, the need to summarize this research realm through a well-defined methodological procedure is urgent need. This study presents the results of a systematic mapping of the literature, aiming at categorizing legal ontologies along certain dimensions, such as pur- pose, level of generality, underlying legal theories, among other aspects. The reasons to carry out a sys- tematic mapping are twofold: in addition to explaining the maturation of the area over recent decades, it helps to avoid the old problem of reinventing the wheel. Through organizing and classifying what has already been produced, it is possible to realize that the development of legal ontologies can rise to the level of reusability where prefabricated models might be coupled with new and more complex ontologies for practical law.
Keywords: Legal ontology| Systematic mapping study | Legal expert system | Legal theory | Semantic web
مقاله انگلیسی
4 Legal ontologies over time: A systematic mapping study
هستی شناسی های قانونی با گذشت زمان: یک مطالعه نگاشت منظم-2019
Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual models for knowledge repre- sentation and reasoning, known as Legal Ontologies. Ontologies have been widely used by legal prac- titioners, scholars, and lay people in a variety of situations, such as simulating legal actions, semantic search and indexing, and to keep up-to-date with the continual change of laws and regulations. Given the high number of legal ontologies produced, the need to summarize this research realm through a well-defined methodological procedure is urgent need. This study presents the results of a systematic mapping of the literature, aiming at categorizing legal ontologies along certain dimensions, such as pur- pose, level of generality, underlying legal theories, among other aspects. The reasons to carry out a sys- tematic mapping are twofold: in addition to explaining the maturation of the area over recent decades, it helps to avoid the old problem of reinventing the wheel. Through organizing and classifying what has already been produced, it is possible to realize that the development of legal ontologies can rise to the level of reusability where prefabricated models might be coupled with new and more complex ontologies for practical law.
Keywords: Legal ontology | Systematic mapping study | Legal expert system | Legal theory | Semantic web
مقاله انگلیسی
5 Using ontology-based clustering to understand the push and pull factors for British tourists visiting a Mediterranean coastal destination
استفاده از خوشه بندی مبتنی بر هستی شناسی جهت درک عوامل فشاری و کششی برای گردشگران بریتانیایی بازدید کننده از یک مقصد ساحل مدیترانه-2018
This paper studies why British tourists decide to travel to a particular destination in a Catalan region. The analysis is based on a survey that includes open-ended questions. First, we propose the operationalization of the concepts of motivation and meaning as push–pull factors when choosing a destination. Second, an ontology-based clustering method is presented, which makes it possible to analyse these qualitative factors from a semantic perspective to obtain tourist segments. A benchmark confirms that the segmentation obtained is better than that generated using classic clustering methods The results show that different meanings can be associated with any single place.
keywords: Data mining| Tourism motivations| Destination meaning| Ontologies| Qualitative data tourism geography
مقاله انگلیسی
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