Academic literature on the topic 'Management and ontologies'

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Journal articles on the topic "Management and ontologies"

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Yu, Juan, Yan Zhong Dang, and Ming Zheng Wang. "On Design of Ontology Management Systems." Advanced Materials Research 403-408 (November 2011): 2396–99. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2396.

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An ontology management system (OMS) is a software system which manages ontologies through their lifecycle. It simplifies ontologies building and applications by providing a mechanism for querying ontologies and an easy-to-use programming interface to ontologies and instances. OMSs are powerful tools to create ontologies and extend their applications and scope. This paper explains the basic design principles of an OMS and designs a general framework of OMSs. It devotes to promoting systematically research and development of OMSs.
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Arpentieva, M. R. "EVERGETIC AND ONTOLOGIES OF MANAGEMENT." Ontology of Designing 6, no. 1 (March 22, 2016): 106–24. http://dx.doi.org/10.18287/2223-9537-2016-6-1-106-124.

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Dritsas, S., V. Dritsou, B. Tsoumas, P. Constantopoulos, and D. Gritzalis. "OntoSPIT: SPIT management through ontologies." Computer Communications 32, no. 1 (January 2009): 203–12. http://dx.doi.org/10.1016/j.comcom.2008.10.004.

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Maedche, A., B. Motik, L. Stojanovic, R. Studer, and R. Volz. "Ontologies for enterprise knowledge management." IEEE Intelligent Systems 18, no. 2 (March 2003): 26–33. http://dx.doi.org/10.1109/mis.2003.1193654.

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Pleshkova, A. Yu. "Ontologies in educational process management." Ontology of designing 12, no. 4 (December 1, 2022): 506–17. http://dx.doi.org/10.18287/2223-9537-2022-12-4-506-517.

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In the educational processes of universities, the ontological approach is used in the management of curricula, to describe the subject areas of the academic disciplines programs, to assess the knowledge of students. The article discusses the ways of using ontologies in teaching and provides an example of an ontological approach to managing the educational process. The process area "Preparation for the reporting event" was selected as part of the research seminar for graduate students. Based on the results of a three-year experiment, an update was proposed to the original domain model associated with the ―Teacher‖ entity. The resulting changes have a positive effect on the practice of the educational process both for the teacher (improving qualifications and motivation) and for students (increasing academic performance and involvement). Conclusions are formulated about the usefulness of the proposed method and its prospects, about the possibility of expanding the scope of the study by performing a further analysis of educational processes and using the results presented in the article.
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Bodenreider, O. "Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support." Yearbook of Medical Informatics 17, no. 01 (August 2008): 67–79. http://dx.doi.org/10.1055/s-0038-1638585.

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Summary Objectives To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. MethodsBiomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. Results The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery). Conclusions Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed.Geissbuhler A, Kulikowski C, editors. IMIA Year book of Medical Informatics 2008.
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Nuradiansyah, Adrian. "Reasoning in Description Logic Ontologies for Privacy Management." KI - Künstliche Intelligenz 34, no. 3 (July 4, 2020): 411–15. http://dx.doi.org/10.1007/s13218-020-00681-8.

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Abstract This work is initially motivated by a privacy scenario in which the confidential information about persons or its properties formulated in description logic (DL) ontologies should be kept hidden. We investigate procedures to detect whether this confidential information can be disclosed in a certain situation by using DL formalisms. If it is the case that this information can be deduced from the ontologies, which implies certain privacy policies are not fulfilled, then one needs to consider methods to repair these ontologies in a minimal way such that the modified ontologies complies with the policies. However, privacy compliance itself is not enough if a possible attacker can also obtain relevant information from other sources, which together with the modified ontologies might violate the privacy policy. This article provides a summary of studies and results from Adrian Nuradiansyah’s Ph.D. dissertation that are corresponding to the addressed problem above with a special emphasis on the investigations on the worst-case complexities of those problems as well as the complexity of the procedures and algorithms solving the problems.
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Shilnikov, P. S. "ONTOLOGIES OF PRODUCT DATA QUALITY MANAGEMENT." Ontology of Designing 7, no. 2 (June 28, 2017): 216–26. http://dx.doi.org/10.18287/2223-9537-2017-7-2-216-226.

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Khattak, Asad Masood, Khalid Latif, and Sungyoung Lee. "Change management in evolving web ontologies." Knowledge-Based Systems 37 (January 2013): 1–18. http://dx.doi.org/10.1016/j.knosys.2012.05.005.

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Iatrellis, Omiros, and Panos Fitsilis. "A Review on Software Project Management Ontologies." International Journal of Information Technology Project Management 9, no. 4 (October 2018): 54–72. http://dx.doi.org/10.4018/ijitpm.2018100104.

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This article aims to provide the reader with a comprehensive background for understanding current knowledge and research works on ontologies for software project management (SPM). It constitutes a systematic literature review behind key objectives of the potential adoption of ontologies in PM. Ontology development and engineering could facilitate substantially the software development process and improve knowledge management, software and artifacts reusability, internal consistency within project management processes of various phases of software life cycle. The authors examined the literature focusing on software project management ontologies and analyzed the findings of these published papers and categorized them accordingly. They used qualitative methods to evaluate and interpret findings of the collected studies. The literature review, among others, has highlighted lack of standardization in terminology and concepts, lack of systematic domain modeling and use of ontologies mainly in prototype ontology systems that address rather limited aspects of software project management processes.
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Dissertations / Theses on the topic "Management and ontologies"

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Distinto, Isabella. "Legal Ontologies for Public Procurement Management." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/6118/.

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The thesis explores ways to formalize the legal knowledge concerning the public procurement domain by means of ontological patterns suitable, on one hand, to support awarding authorities in conducting procurement procedures and, on the other hand, to help citizens and economic operators in accessing procurement's notices and data. Such an investigation on the making up of conceptual models for the public procurement domain, in turn, inspires and motivates a reflection on the role of legal ontologies nowadays, as in the past, retracing the steps of the ``ontological legal thinking'' from Roman Law up to now. I try, at the same time, to forecast the impact, in terms of benefits, challenges and critical issues, of the application of computational models of Law in future e-Governance scenarios.
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Tan, He. "Aligning Biomedical Ontologies." Doctoral thesis, Linköping : Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9487.

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Bera, Palash. "Using ontologies in the context of knowledge management systems." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31256.

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Knowledge management systems (KMS) are information systems that combine and integrate functions for managing knowledge in organizations. Although substantial interest exists in KMS, a theoretically-based view of knowledge in the KMS context is not yet available. To clarify the notion of knowledge as managed by KMS, a conceptual framework is developed. The key concepts of this framework are derived by combining an action-based perspective with an artificial intelligence (AI) view of knowledge. The relationships among these concepts are identified, anchored to current literature, and represented graphically as conceptual models. Conceptual models are used to support the understanding of and communicating about application domains. The models contribute in proposing several theoretical and practical implications regarding KMS. To use KMS effectively, knowledge seekers need to be able to identify the knowledge required to perform their tasks. It is suggested that providing knowledge seekers with a visual representation of a formal ontology can facilitate performing knowledge identification. Formal sets of statements defining the relevant concepts and their relationships are called formal ontologies. Formal ontologies are often specified in ontological languages such as Web Ontology Language (OWL). The main requirements from such languages are that they have well-formalized syntax and that they will be computer-readable. However, not much attention has been paid to how they can be used to convey domain semantics. It is suggested that the use of philosophically-based ontological principles can help generate guidelines for developing conceptual models using OWL. Accordingly, a set of guidelines is proposed and it is demonstrated that application of such guidelines can provide clearer representation of domain phenomena such as interaction. Ontologies developed with these guidelines for modeling interaction are termed informed ontologies. From the developed conceptual models for KMS, it is identified that knowledge is intimately tied to the change of state of an entity. This change of state is facilitated by entities participating in interactions. Thus, it is proposed that the use of informed ontologies will lead to better knowledge identification than the use of uninformed ontologies. In a laboratory study, using business students as subjects, it was found that the use of informed ontologies for knowledge identification was advantageous.
Business, Sauder School of
Graduate
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Nyqvist, Olof. "Information Management for Cutting Tools : Information Models and Ontologies." Doctoral thesis, Stockholm : Industriell produktion, Production Engineering, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4763.

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King, Kraig. "Linking Moving Object Databases with Ontologies." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/KingK2007.pdf.

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El, Sarraj Lama. "Exploitation d'un entrepôt de données guidée par des ontologies : application au management hospitalier." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4331.

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Cette recherche s'inscrit dans le domaine de la personnalisation d'Entrepôt de Données (ED) et concerne l'aide à l'exploitation d'un ED. Nous intéressons à l'assistance à apporter à un utilisateur lors d'une analyse en ligne, dans son utilisation de ressources d'exploitation existantes. Le domaine d'application concerné est la gestion hospitalière, dans le cadre de la nouvelle gouvernance, et en se limitant au périmètre du Programme de Médicalisation des Systèmes d'Information (PMSI). Cette recherche a été supportée par l'Assistance Publique des Hôpitaux de Marseille (APHM). L'approche retenue pour développer une telle assistance à l'utilisateur d'ED est sémantique et guidée par l'usage d'ontologies. Le système d'assistance mettant en oeuvre cette approche, nommé Ontologies-based Personalization System (OPS), s'appuie sur une Base de Connaissances (BC) exploitée par un moteur de personnalisation. La BC est composée des trois ontologies : de domaine, de l'ED et des ressources. Le moteur de personnalisation permet d'une part une recherche personnalisée de ressources d'exploitation de l'ED en s'appuyant sur le profil de l'utilisateur, et d'autre part pour une ressource particulière, une recommandation de ressources complémentaires selon trois stratégies possibles. Afin de valider nos propositions, un prototype du système OPS a été développé avec un moteur de personnalisation a été implémenté en Java et exploitant une base de connaissance constituée des trois ontologies en OWL interconnectées. Nous illustrons le fonctionnement de notre système sur trois scenarii d'expérimentation liés au PMSI et définis avec des experts métiers de l'APHM
This research is situated in the domain of Data Warehouses (DW) personalization and concerns DW assistance. Specifically, we are interested in assisting a user during an online analysis processes to use existing operational resources. The application of this research concerns hospital management, for hospitals governance, and is limited to the scope of the Program of Medicalization of Information Systems (PMSI). This research was supported by the Public Hospitals of Marseille (APHM). Our proposal is a semantic approach based on ontologies. The support system implementing this approach, called Ontology-based Personalization System (OPS), is based on a knowledge base operated by a personalization engine. The knowledge base is composed of three ontologies: a domain ontology, an ontology of the DW structure, and an ontology of resources. The personalization engine allows firstly, a personalized search of resources of the DW based on users profile, and secondly for a particular resource, an expansion of the research by recommending new resources based on the context of the resource. To recommend new resources, we have proposed three possible strategies. To validate our proposal, a prototype of the OPS system was developed, a personalization engine has been implemented in Java. This engine exploit an OWL knowledge composed of three interconnected OWL ontologies. We illustrate three experimental scenarios related to PMSI and defined with APHM domain experts
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Kumar, Aman. "Metadata-Driven Management of Scientific Data." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1243898671.

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Sellah, Smail. "Approche automatisée d'assistance à la structuration des connaissances." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA026.

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Dans un contexte globalisé, les entreprises doivent être innovantes pour augmenter leur productivité et continuer d'exister dans un marché de plus en plus concurrentiel. Les innovations, sources de bénéfices potentiels pour une entreprise, peuvent se situer au niveau d'un processus, d'un nouveau produit ou d'un service, etc. Une entreprise innovante est une entreprise qui capitalise sur ses connaissances. La gestion de connaissance (GC) constitue un ensemble d'approches qui permettent de répondre à un ensemble de problématiques liées aux connaissances et notamment la capitalisation de ces connaissances. Cependant, malgré les bénéfices et l'impact positif que peuvent avoir de telles pratiques sur une organisation, celles-ci sont très peu mises en place.Dans la thèse défendue dans ce manuscrit, nous nous intéressons à améliorer la capitalisation des connaissances et en particulier la structuration des informations afin de proposer des connaissances candidates. Notre objectif est de rendre plus efficace la mises à disposition des connaissances aux acteurs métiers. Pour cela, il faut réduire le nombre de résultats non pertinents et identifier les connaissances qui peuvent aider les acteurs métiers dans leurs problématiques quotidiennes. Par cette approche, on peut ainsi aider l'organisation à optimiser les retours d'expériences et le temps passé dans les différents procédés mis en place.Afin de relever ces challenges, nous nous intéressons à mettre en place un ensemble de briques élémentaires, chacune de ces briques ayant un rôle spécifique. Ces briques sont organisées sous forme d'un cycle interactif. Chaque brique sera en interaction avec les autres, l'idée sous-jacente est qu'une brique améliore ses résultats en apprenant des résultats des autres briques. Les collaborateurs métiers interagissent directement avec ces briques de manière transparente. Pour rechercher les connaissances, le cycle scrute et analyse le comportement des collaborateurs métiers pour mieux comprendre leurs attentes. Ainsi, le cycle est capable d'apprendre et d'améliorer pour mieux capturer et rechercher les connaissances de l'entreprise.La première brique consiste en l'identification et représentation de la connaissance, cette brique a pour rôle d'exploiter un corpus de documents afin d'extraire les connaissances au sein de ce corpus. La seconde brique a pour but d'organiser ce corpus de documents en utilisant les connaissances extraites par la première brique. La dernière brique s'appuie sur les résultats fournis par les précédentes briques, le rôle de cette brique est de permettre à l'utilisateur de pouvoir faire une recherche sémantique en exploitant le modèle de connaissances construit par la première brique et l'organisation des documents qu'offre la deuxième brique. Cette dernière brique aura pour rôle de partager la connaissance et de la diffuser, cette brique ne se restreint pas uniquement à une recherche, elle intègre aussi un mécanisme de suggestions qui assiste l'utilisateur dans sa recherche en lui proposant des documents similaires, etc.L'approche est globale est testée et validée avec un corpus de documents issus d'articles du journal Reuters. Les résultats de l'analyse automatique sont comparés aux tags produits par des lecteurs humains
In a globalized context, companies must be innovative to increase their productivity and continue to exist in an increasingly competitive market. Innovations, potential sources of profit for a company, can be at the level of a process, a new product or a service, etc. An innovative company is a company which capitalizes on its knowledge. Knowledge management (KM) is a set of approaches that can address a range of issues related to knowledge including capitalization of knowledge. However, despite the benefits and the positive impact which can have such practices on an organization, these are very little implemented. In the thesis defended in this manuscript, we are interested in improving the capitalization of knowledge and in particular the structuring of information in order to propose candidate knowledge. Our goal is to make the access to knowledge more effective to business. To do this, we must reduce the number of irrelevant results and identify the knowledge that can help business in their daily problems.By this approach, we can help an organization to optimize its feedbacks and the time spent in the different processes put in place. In order to meet these challenges, we are interested in setting up a set of elementary components, each of these components having a specific role. These components are organized as an interactive cycle. Each component will interact with others, the underlying idea is that a component improves its results by learning results from other components. Users interact directly with these components in a transparent way. To search for knowledge, the cycle scrutinizes and analyzes the behavior of users to better understand their expectations. Thus, the cycle is able to learn and improve to better capture and seek knowledge of the company. The first component is named «identification and representation of knowledge», this component has the role of exploiting a set of documents in order to extract the knowledge within this corpus. The second component aims to organize this set of documents using the knowledge extracted by the first component. The last component builds on the results provided by the previous components, the role of this component is to allow the users to be able to do a semantic search by exploiting the knowledge model built by the first component and document organization which the second component offers.This last component will aim to share knowledge, this component is not restricted to only a search, it also includes a mechanism of suggestions that assists the users in their search by offering similar documents, etc.The global approach is tested and validated with a set of documents from Reuters newspaper articles. The results of the automatic analysis are compared to the tags produced by human readers
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Flycht-Eriksson, (Silvervarg) Annika. "Design and use of ontologies in information-providing dialogue systems." Doctoral thesis, Linköpings universitet, NLPLAB - Laboratoriet för databehandling av naturligt språk, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5007.

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In this thesis, the design and use of ontologies as domain knowledge sources in information-providing dialogue systems are investigated. The research is divided into two parts, theoretical investigations that have resulted in a requirements specifications on the design of ontologies to be used in information-providing dialogue systems, and empirical work on the development of a framework for use of ontologies in information-providing dialogue systems. The framework includes three models: A model for ontology-based semantic analysis of questions. A model for ontology-based dialogue management, specifically focus management and clarifications. A model for ontology-based domain knowledge management, specifically transformation of user requests to system oriented concepts used for information retrieval. In this thesis, it is shown that using ontologies to represent and reason on domain knowledge in dialogue systems has several advantages. A deeper semantic analysis is possible in several modules and a more natural and efficient dialogue can be achieved. Another important aspect is that it facilitates portability; to be able to reuse adapt the dialogue system to new tasks and domains, since the domain-specific knowledge is separated form generic features in the dialogue system architecture. Other advantages are that it reduces the complexity of linguistic produced in various domains.
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Mhiri, Fadoua. "Resource Management in femtocell networks." Paris 6, 2013. http://www.theses.fr/2013PA066136.

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Dans cette thèse, nous proposons des solutions évolutives et entièrement distribuée appelés SOCS, ADAC, TRIPLET « algorithmes » dans une architecture autonome de femtocellules ; telle que réseau d'Entreprise, qui permettent de surmonter les problèmes fondamentales liés à la gestion des ressources dans les réseaux Femtocells: la gestion des interférences, la consommation d'énergie et le Handover. Basé sur l'approche cognitive, nous formulons des systèmes d'optimisation multi-objectifs tout en introduisant des variables entières et des paramètres de pondération pour le contrôle de la puissance transmise, la couverture de la femtocellule, la capacité des canaux, le débit moyen et éventuellement des paramètres pour la mesure de la QoS des utilisateurs. En outre, ces problèmes d’optimisation sont soumis à diverses circonstances atténuantes ainsi, les interférences considérées dans les scénarios simulés sont limitées. L’évaluation de ces systèmes et de ces techniques sont faite dans de telles conditions afin de s'assurer qu'elles sont évolutives et flexibles Grâce à ce travail, nous essayons non simplement d’améliorer le débit moyen des utilisateurs en fonction de leur niveau d’accès et leur QoS dans une Femtocellule, mais aussi de proposer une technique de Handover qui s’adapte aux critères imposés par le réseau d’une part, et celles par l’utilisateur d’autre part. De plus, nous visons dans cette thèse d’optimiser la consommation d’énergie dans le réseau d’Entreprise, assurer une couverture de réseau optimale dans l’Entreprise, améliorer l’efficacité spectrale et réduire l’interférence. Les systèmes et les techniques proposés dans cette thèse permettent d’assurer une efficacité énergétique et spectrale en ajustant et en optimisant la couverture globale des femtocellules tout en améliorant le débit moyen du système
Through this work, we propose some scalable and fully distributed solutions called SOCS, Adac, TRIPLET Algorithms in Autonomic Architecture of Femtocells Network such Enterprise environment, which overcome the basic challenging issues as: interference management, handover and power consumption. Based on cognitive approach, we formulate some multi-objective optimization problems with mixed integer variables for the joint power control, base station assignment, and channel assignments according to user’s QoS. Further, these schemes are subjected to various mitigating circumstances and interference-limited scenarios. The performance evaluations of these schemes are done under such conditions to ensure that they are scalable, flexible and can be considered as a practically viable option. Through this work, we try not just to improve the average throughput experienced by users according to their access level and their QoS in a femtocell, but also to propose a Handover technique that responds to the criteria imposed by the network and by the user. Furthermore, we aim in this thesis; to optimize the energy consumption in the whole network, to ensure optimal network coverage in the Enterprise, to improve the spectral efficiency and to reduce interference. Systems and techniques proposed in this thesis are designed to provide energy and spectral efficiencies by adjusting and optimizing the overall coverage of femtocells while improving the average Throughput of the system
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Books on the topic "Management and ontologies"

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Staab, Steffen. Handbook on Ontologies. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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Nogueras, Iso Javier, Zarazaga-Soria F. Javier, and SpringerLink (Online service), eds. Terminological Ontologies: Design, Management and Practical Applications. Boston, MA: Springer Science+Business Media, LLC, 2010.

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Rebstock, Michael. Ontologies-based business integration. Berlin: Springer, 2008.

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Janina, Fengel, and Paulheim Heiko, eds. Ontologies-based business integration. Berlin: Springer, 2008.

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Advancing information management through Semantic Web concepts and ontologies. Hershey, PA: Information Science Reference, 2012.

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Fensel, Dieter. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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Gómez-Pérez, Asunción, and V. Richard Benjamins, eds. Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45810-7.

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Fensel, Dieter. Ontologies: A silver bullet for knowledge management and electronic commerce. 2nd ed. Berlin: Springer-Verlag, 2004.

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Bachimont, Bruno. Ingénierie des connaissances et des contenus: Le numérique entre ontologies et documents. Paris: Hermès science, 2007.

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Gargouri, Faiez. Ontology theory, management and design: Advanced tools and models. Hershey, PA: Information Science Reference, 2010.

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Book chapters on the topic "Management and ontologies"

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Fensel, Dieter. "Application Area Knowledge Management." In Ontologies, 19–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04396-7_3.

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Abecker, Andreas, and Ludger van Elst. "Ontologies for Knowledge Management." In Handbook on Ontologies, 713–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92673-3_32.

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Abecker, Andreas, and Ludger van Elst. "Ontologies for Knowledge Management." In Handbook on Ontologies, 435–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24750-0_22.

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Uschold, Michael, and Robert Jasper. "Ontologies for Knowledge Management." In Industrial Knowledge Management, 549–63. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0351-6_33.

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Kiryakov, Atanas. "Ontologies for Knowledge Management." In Semantic Web Technologies, 115–38. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch7.

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Mika, Peter, Victor Iosif, York Sure, and Hans Akkermans. "Ontology-based Content Management in a Virtual Organization." In Handbook on Ontologies, 455–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24750-0_23.

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Textor, Andreas, and Thomas Sikora. "An Ontology-Based Architecture for Storage Management." In Formal Ontologies Meet Industry, 63–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_6.

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Biesalski, Ernst, and Andreas Abecker. "Human Resource Management with Ontologies." In Professional Knowledge Management, 499–507. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11590019_57.

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Bosca, Alessio, Mauro Dragoni, Chiara Di Francescomarino, and Chiara Ghidini. "Collaborative Management of Multilingual Ontologies." In Towards the Multilingual Semantic Web, 175–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43585-4_11.

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Lu, Jing, Xingzhi Sun, Linhao Xu, and Haofen Wang. "Incremental Reasoning over Multiple Ontologies." In Web-Age Information Management, 131–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23535-1_13.

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Conference papers on the topic "Management and ontologies"

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Correia, Anacleto, Mario Simões-Marques, and Pedro Água. "Ontologies for emergency management." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002135.

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In emergency management (EM), different domain vocabularies are used by distinct specialized actors involved in catastrophes’ response. Ontologies enables information sharing among them. This review of ontologies is an exploratory work aimed at collecting references of already proposed ontologies for the realm of EM; a first step for the proposal of a coherent and integrated architecture for EM ontologies. This work conforms to the PRISMA method and was performed by systematically searching several electronic databases for identifying proposed EM ontologies, published between the period of 1970 to 2021. From a total of 1885 articles identified, 104 articles met the full inclusion criteria for the systematic review. The articles found were classified according to (among other categories) the type of addressed disaster by the ontology, the main focus of the proposed approach, and the methods and techniques adopted. Despite the exploratory nature of this work, the review highlighted underexplored topics, and research gaps, due to the lack of integration of the ontological proposals, which hampers their semantic alignment in a modular architecture of ontologies, amenable of an infrastructure for distributed data sources of the Linked Open Data initiative.
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Oro, Ermelinda, and Massimo Ruffolo. "Description Ontologies." In 2008 Third International Conference on Digital Information Management (ICDIM). IEEE, 2008. http://dx.doi.org/10.1109/icdim.2008.4746710.

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Penta, Antonio, Antonio Picariello, and Letizia Tanca. "Multimedia knowledge management using ontologies." In Proceeding of the 2nd ACM workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1460676.1460682.

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Keller, Richard M. "Ontologies for aviation data management." In 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). IEEE, 2016. http://dx.doi.org/10.1109/dasc.2016.7777971.

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"Strategy Needs Structure - Structure Needs Ontologies – Dynamic Ontologies Carry Meanings." In International Conference on Knowledge Management and Information Sharing. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004118902610264.

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Zhao-hui Zhang, Da-you Liu, and Wei-Jiang Liu. "Using ontologies for distributed workflow management." In 2005 IEEE International Conference on Services Computing (SCC'05) Vol-1. IEEE, 2005. http://dx.doi.org/10.1109/scc.2005.106.

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Martimiano, Luciana A. F., and Edson dos Santos Moreira. "Using ontologies to assist security management." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2006. http://dx.doi.org/10.5753/sbseg.2006.20956.

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Several tools can be used to manage and store security information. These tools generate a great amount of security alerts, which are stored in different formats. This lack of standard and the amount of data make the tasks of the security administrators even harder, because they have to understand, using their tacit knowledge, different security alerts to make correlation and solve security problems. Aiming to assist the administrators in executing these tasks efficiently, this paper presents the main features and contributions of the security incident ontology developed to model, using a unique format, the concepts of the security incident domain.
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Calvanese, Diego. "Session details: RDF and ontologies." In SIGMOD/PODS'13: International Conference on Management of Data. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/3245203.

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Hyunjang Kong, Myunggwun Hwang, and Pankoo Kim. "PIMS(personalized image management system) using ontologies." In The 7th International Conference on Advanced Communication Technology. IEEE, 2005. http://dx.doi.org/10.1109/icact.2005.245846.

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Ribino, Patrizia, Antonio Oliveri, Giuseppe Lo Re, and Salvatore Gaglio. "A Knowledge Management System Based on Ontologies." In 2009 International Conference on New Trends in Information and Service Science (NISS). IEEE, 2009. http://dx.doi.org/10.1109/niss.2009.105.

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Reports on the topic "Management and ontologies"

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Chalupsky, Hans, and Robert M. MacGregor. Ontologies, Knowledge Bases and Knowledge Management. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408551.

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