Dissertations / Theses on the topic 'Ontology mapping'
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Ghawi, Raji. "Ontology-based cooperation of information systems : contributions to database-to-ontology mapping and XML-to-ontology mapping." Phd thesis, Université de Bourgogne, 2010. http://tel.archives-ouvertes.fr/tel-00559089.
Full textCorsar, David. "Developing knowledge-based systems through ontology mapping and ontology guided knowledge acquisition." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25800.
Full textWang, Ying. "Developing Ontology Mapping approaches for Semantic Interoperability." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527911.
Full textSengupta, Kunal. "A Language for Inconsistency-Tolerant Ontology Mapping." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1441044183.
Full textHuve, Cristiane Aparecida Gonçalves. "An architecture for mapping relational database to ontology." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/47423.
Full textDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 01/02/2017
Inclui referências : f. 80-85
Resumo: Nos últimos anos tem sido propostos trabalhos sobre definições de mapeamento de um banco de dados para ontologias. Este trabalho de mestrado propõe a construção de uma arquitetura que viabiliza um processo de mapeamento automático de um banco de dados relacional para uma ontologia OWL. Para isto, faz uso de regras novas e existentes e tem como contribuições a nomeação dos elementos e sua eliminação quando duplicados, aumentando a legibilidade da ontologia gerada. Destacamos na arquitetura a estrutura de mapeamento de elementos, que permite manter uma rastreabilidade de origem e destino para verificações. Para validar a arquitetura e as regras propostas, um estudo de caso _e realizado utilizando um banco de dados de atendimento odontológico. Palavras-Chave: Banco de dados relacional. Ontologia. Mapeamento.
Abstract: In recent years a number of researches have been written on the topic of definitions of mapping of a database to ontology. This dissertation presents the proposal and the construction of an architecture which enables an automatic mapping process of relational database to OWL ontology. For this purpose, it makes use of new and existent rules and offers as contributions naming and elimination of duplicated elements, increasing the legibility of the generated ontology. We stand out the structure of element mapping, which allows to maintain a source-to-target traceability for verifications. Validating of proposed architecture and rules is made by a case study using a dental care database. Key-words: Relational database. Ontology. Mapping.
Arnold, Patrick. "Semantic Enrichment of Ontology Mappings." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-192438.
Full textLian, Zonghui. "A Tool to Support Ontology Creation Based on Incremental Mini-Ontology Merging." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1663.
Full textGroß, Anika. "Evolution von ontologiebasierten Mappings in den Lebenswissenschaften." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-136766.
Full textIn the life sciences, there is an increasing number of heterogeneous data sources that need to be integrated and combined in comprehensive analysis tasks. Often ontologies and other structured vocabularies are used to provide a formal representation of knowledge and to facilitate data exchange between different applications. Ontologies are used in different domains like molecular biology or chemistry. One of their most important applications is the annotation of real-world objects like genes or publications. Since different ontologies can contain overlapping knowledge it is necessary to determine mappings between them (ontology mappings). A manual mapping creation can be very time-consuming or even infeasible such that (semi-) automatic ontology matching methods are typically applied. Ontologies are not static but underlie continuous modifications due to new research insights and changing user requirements. The evolution of ontologies can have impact on dependent data like annotation or ontology mappings. This thesis presents novel methods and algorithms to deal with the evolution of ontology-based mappings. Thereby the generic infrastructure GOMMA is used and extended to manage and analyze the evolution of ontologies and mappings. First, a comparative evolution analysis for ontologies and mappings from three life science domains shows heavy changes in ontologies and mappings as well as an impact of ontology changes on the mappings. Hence, existing ontology mappings can become invalid and need to be migrated to current ontology versions. Thereby an expensive redetermination of the mappings should be avoided. This thesis introduces two generic algorithms to (semi-) automatically adapt ontology mappings: (1) a composition-based adaptation relies on the principle of mapping composition, and (2) a diff-based adaptation algorithm allows for individually handling change operations to update mappings. Both approaches reuse unaffected mapping parts, and adapt only affected parts of the mappings. An evaluation for very large biomedical ontologies and mappings shows that both approaches produce ontology mappings of high quality. Similarly, ontology changes may also affect ontology-based annotation mappings. The thesis introduces a generic evaluation approach to assess the quality of annotation mappings based on their evolution. Different quality measures allow for the identification of reliable annotations, e.g., based on their stability or provenance information. A comprehensive analysis of large annotation data sources shows numerous instabilities, e.g., due to the temporary absence of annotations. Such modifications may influence results of dependent applications such as functional enrichment analyses that describe experimental data in terms of ontological groupings. The question arises to what degree ontology and annotation changes may affect such analyses. Based on different stability measures the evaluation assesses change intensities of application results and gives insights whether users need to expect significant changes of their analysis results. Moreover, GOMMA is extended by large-scale ontology matching techniques. Such techniques are useful, a.o., to match new concepts during ontology mapping adaptation. Many existing match systems do not scale for aligning very large ontologies, e.g., from the life science domain. One efficient composition-based approach indirectly computes ontology mappings by reusing and combining existing mappings to intermediate ontologies. Intermediate ontologies can contain useful background knowledge such that the mapping quality can be improved compared to a direct match approach. Moreover, the thesis introduces general strategies for matching ontologies in parallel using several computing nodes. A size-based partitioning of the input ontologies enables good load balancing and scalability since smaller match tasks can be processed in parallel. The evaluation of the Ontology Alignment Evaluation Initiative (OAEI) compares GOMMA and other systems in terms of matching ontologies from different domains. Using the parallel and composition-based matching, GOMMA can achieve very good results w.r.t. efficiency and effectiveness, especially for ontologies from the life science domain
Kong, Choi-yu. "Effective partial ontology mapping in a pervasive computing environment." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B32002737.
Full textKong, Choi-yu, and 江采如. "Effective partial ontology mapping in a pervasive computing environment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B32002737.
Full textWong, Alfred Ka Yiu Computer Science & Engineering Faculty of Engineering UNSW. "Ontology mapping: a logic-based approach with applications in selected domains." Publisher:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41103.
Full textAbbas, Muhammad Aun. "A Unified Approach for Dealing with Ontology Mappings and their Defects." Thesis, Lorient, 2016. http://www.theses.fr/2016LORIS423/document.
Full textAn ontology mapping is a set of correspondences. Each correspondence relates artifacts, such as concepts and properties, of one ontology to artifacts of another ontology. In the last few years, a lot of attention has been paid to establish mappings between source ontologies. Ontology mapping is widely and effectively used for interoperability and integration tasks (data transformation, query answering, or web-service composition, to name a few), and in the creation of new ontologies. On the one side, checking the (logical) correctness of ontology mappings has become a fundamental prerequisite of their use. On the other side, given two ontologies, there are several ontology mappings between them that can be obtained by using different ontology matching methods or just stated manually. Using ontology mappings between two ontologies in combination within a single application or for synthesizing one mapping taking the advantage of two original mappings, may cause errors in the application or in the synthesized mapping because those original mappings may be contradictory (conflicting). In both situations, correctness is usually formalized and verified in the context of fully formalized ontologies (e.g. in logics), even if some “weak” notions of correctness have been proposed when ontologies are informally represented or represented in formalisms preventing a formalization of correctness (such as UML). Verifying correctness is usually performed within one single formalism, requiring on the one side that ontologies need to be represented in this unique formalism and, on the other side, a formal representation of mapping is provided, equipped with notions related to correctness (such as consistency). In practice, there exist several heterogeneous formalisms for expressing ontologies, ranging from informal (text, UML and others) to formal (logical and algebraic). This implies that, willing to apply existing approaches, heterogeneous ontologies should be translated (or just transformed if, the original ontology is informally represented or when full translation, keeping equivalence, is not possible) in one common formalism, mappings need each time to be reformulated, and then correctness can be established. This is possible but possibly leading to correct mappings under one translation and incorrect mapping under another translation. Indeed, correctness (e.g. consistency) depends on the underlying employed formalism in which ontologies and mappings are expressed. Different interpretations of correctness are available within the formal or even informal approaches questioning about what correctness is indeed. In the dissertation, correctness has been reformulated in the context of heterogeneous ontologies by using the theory of Galois connections. Specifically ontologies are represented as lattices and mappings as functions between those lattices. Lattices are natural structures for directly representing ontologies, without changing the original formalisms in which ontologies are expressed. As a consequence, the (unified) notion of correctness has been reformulated by using Galois connection condition, leading to the new notion of compatible and incompatible mappings. It is formally shown that the new notion covers the reviewed correctness notions, provided in distinct state of the art formalisms, and, at the same time, can naturally cover heterogeneous ontologies. The usage of the proposed unified approach is demonstrated by applying it to upper ontology mappings. Notion of compatible and incompatible ontology mappings is also applied on domain ontologies to highlight that incompatible ontology mappings give incorrect results when used for ontology merging
Esmaeily, Kaveh. "Ontological mapping between different higher educational systems : The mapping of academic educational system on an international level." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-876.
Full textThis Master thesis sets its goals in researching and understanding the structure of different educational systems. The main goal that this paper inflicts is to develop a middleware aiming at translating courses between different educational systems.
The procedure is to find the meaning of objects and courses from the different educational systems point of view, this is mainly done through processes such as identifying the context, semantics and state of the objects involved, perhaps in different activities. The middleware could be applied, with small changes, to any structured system of education.
This thesis introduces a framework for using ontologies in the translation and integration of course aspects in different processes. It suggests using ontologies when adopting and structuring different educational systems on an international level. This thesis will, through an understanding of ontologies construct a middleware for the translation process between different courses in the different educational systems. As an example courses in Sweden, Germany and Tajikistan have been used for the mapping and constructing learning goals and qualifications.
Muthaiyah, Saravanan. "A framework and methodology for ontology mediation through semantic and syntactic mapping." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3070.
Full textVita: p. 177. Thesis director: Larry Kerschberg. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 169-176). Also issued in print.
Gould, Nicholas Mark. "Formalising cartographic generalisation knowledge in an ontology to support on-demand mapping." Thesis, Manchester Metropolitan University, 2014. http://e-space.mmu.ac.uk/344342/.
Full textSaleem, Arshad. "Semantic Web Vision : survey of ontology mapping systems and evaluation of progress." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3211.
Full textEver increasing complexity of software systems, and distributed and dynamic nature of today’s enterprise level computing have initiated the demand for more self aware, flexible and robust systems, where human beings could delegate much of their work to software agents. The Semantic Web presents new opportunities for enabling, modeling, sharing and reasoning with knowledge available on the web. These opportunities are made possible through the formal representation of knowledge domains with ontologies. Semantic Web is a vision of World Wide Web (WWW) level knowledge representation system where each piece of information is equipped with well defined meaning; enabling software agents to understand and process that information. This, in turn, enables people and software agents to work in a more smooth and collaborative way. In this thesis we have first presented a detailed overview of Semantic web vision by describing its fundamental building blocks which constitutes famous layered architecture of Semantic Web. We have discussed the mile stones Semantic Web vision has achieved so far in the areas of research, education and industry and on the other hand we have presented some of the social, business and technological barriers in the way of this vision to become reality. We have also evaluated that how Semantic vision is effecting some of the current technological and research areas like Web Services, Software Agents, Knowledge Engineering and Grid Computing. In the later part of thesis we have focused on problem of ontology mapping for agents on semantic web. We have precisely defined the problem and categorized it on the basis of syntactic and semantic aspects. Finally we have produced a survey of the current state of the art in ontology mapping research. In the survey we have presented some of the selected ontology mapping systems and described their functionality on the basis of the way they approach the problem, their efficiency, effectiveness and the part of problem space they cover. We consider that the survey of current state of the art in ontology mapping will provide a solid basis for further research in this field.
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Bheemireddy, Shruthi. "MACHINE LEARNING-BASED ONTOLOGY MAPPING TOOL TO ENABLE INTEROPERABILITY IN COASTAL SENSOR NETWORKS." MSSTATE, 2009. http://sun.library.msstate.edu/ETD-db/theses/available/etd-09222009-200303/.
Full textReis, Julio Cesar Dos. "Mapping Adaptation between Biomedical Knowledge Organization Systems." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112231/document.
Full textModern biomedical information systems require exchanging and retrieving data between them, due to the overwhelming available data generated in this domain. Knowledge Organization Systems (KOSs) offer means to make the semantics of data explicit which, in turn, facilitates their exploitation and management. The evolution of semantic technologies has led to the development and publication of an ever increasing number of large KOSs for specific sub-domains like genomics, biology, anatomy, diseases, etc. The size of the biomedical field demands the combined use of several KOSs, but it is only possible through the definition of mappings. Mappings interconnect entities of domain-related KOSs via semantic relations. They play a key role as references to enable advanced interoperability tasks between systems, allowing software applications to interpret data annotated with different KOSs. However, to remain useful and reflect the most up-to-date knowledge of the domain, the KOSs evolve and new versions are periodically released. This potentially impacts established mappings demanding methods to ensure, as automatic as possible, their semantic consistency over time. Manual maintenance of mappings stands for an alternative only if a restricted number of mappings are available. Otherwise supporting methods are required for very large and highly dynamic KOSs. To address such problem, this PhD thesis proposes an original approach to adapt mappings based on KOS changes detected in KOS evolution. The proposal consists in interpreting the established correspondences to identify the relevant KOS entities, on which the definition relies on, and based on the evolution of these entities to propose actions suited to modify mappings. Through this investigation, (i) we conduct in-depth experiments to understand the evolution of KOS mappings; we propose automatic methods (ii) to analyze mappings affected by KOS evolution, and (iii) to recognize the evolution of involved concepts in mappings via change patterns; finally (iv) we design techniques relying on heuristics explored by novel algorithms to adapt mappings. This research achieved a complete framework for mapping adaptation, named DyKOSMap, and an implementation of a software prototype. We thoroughly evaluated the proposed methods and the framework with real-world datasets containing several releases of mappings between biomedical KOSs. The obtained results from experimental validations demonstrated the overall effectiveness of the underlying principles in the proposed approach to adapt mappings. The scientific contributions of this thesis enable to largely automatically maintain mappings with a reasonable quality, which improves the support for mapping maintenance and consequently ensures a better interoperability over time
Polowinski, Jan. "Ontology-Driven, Guided Visualisation Supporting Explicit and Composable Mappings." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-229908.
Full textDatenmassen im World Wide Web können kaum von Menschen oder Maschinen erfasst werden. Eine Option ist die formale Beschreibung und Verknüpfung von Datenquellen mit Semantic-Web- und Linked-Data-Technologien. Ontologien, in standardisierten Sprachen geschrieben, befördern das Teilen und Verknüpfen von Daten, da sie ein Mittel zur formalen Definition von Konzepten und Beziehungen zwischen diesen Konzepten darstellen. Eine zweite Option ist die Visualisierung. Die visuelle Repräsentation ermöglicht es dem Menschen, Informationen direkter wahrzunehmen, indem er seinen hochentwickelten Sehsinn verwendet. Relativ wenige Anstrengungen wurden unternommen, um beide Optionen zu kombinieren, obwohl die Formalität und die reichhaltige Semantik ontologische Daten zu einem idealen Kandidaten für die Visualisierung machen. Visualisierungsdesignsysteme unterstützen Nutzer bei der Visualisierung von tabellarischen, typischerweise statistischen Daten. Visualisierungen ontologischer Daten jedoch müssen noch manuell erstellt werden, da automatisierte Lösungen häufig auf generische Listendarstellungen oder Knoten-Kanten-Diagramme beschränkt sind. Auch die Semantik der ontologischen Daten wird nicht ausgenutzt, um Benutzer durch Visualisierungsaufgaben zu führen. Einmal erstellte Visualisierungseinstellungen können nicht einfach wiederverwendet und geteilt werden. Um diese Probleme zu lösen, mussten wir eine Antwort darauf finden, wie die Definition komponierbarer und wiederverwendbarer Abbildungen von ontologischen Daten auf visuelle Mittel geschehen könnte und wie Nutzer bei dieser Abbildung geführt werden könnten. Wir stellen einen Ansatz vor, der die geführte Visualisierung von ontologischen Daten, die Erstellung effektiver Grafiken und die Wiederverwendung von Visualisierungseinstellungen ermöglicht. Statt auf generische Grafiken zielt der Ansatz auf maßgeschneiderte Grafiken ab, die mit der gesamten Palette visueller Mittel in einem flexiblen Bottom-Up-Ansatz erstellt werden. Er erlaubt nicht nur die Visualisierung von Ontologien, sondern verwendet auch Ontologien, um Benutzer bei der Visualisierung von Daten zu führen und den Visualisierungsprozess an verschiedenen Stellen zu steuern: Erstens als eine reichhaltige Informationsquelle zu Datencharakteristiken, zweitens als Mittel zur formalen Beschreibung des Vokabulars für den Aufbau von abstrakten Grafiken und drittens als Wissensbasis von Visualisierungsfakten. Deshalb nennen wir unseren Ansatz ontologie-getrieben. Wir schlagen vor, ein Abstract Visual Model (AVM) zu generieren, um eine Grafik rollenbasiert zu synthetisieren, angelehnt an einen Ansatz der von J. v. Engelhardt verwendet wird, um Grafiken zu analysieren. Das AVM besteht aus grafischen Objekten und Relationen, die in der Visualisation Ontology (VISO) formalisiert sind. Ein Mapping-Modell, das auf der deklarativen RDFS/OWL Visualisation Language (RVL) basiert, bestimmt eine Menge von Transformationen von den Quelldaten zum AVM. RVL ermöglicht zusammensetzbare »Mappings«, visuelle Abbildungen, die über Plattformen hinweg geteilt und wiederverwendet werden können. Um den Benutzer zu führen, bewerten wir Mappings anhand eines in der Faktenbasis formalisierten Effektivitätsrankings und schlagen ggf. effektivere Mappings vor. Der Beratungsprozess ist flexibel, da er auf austauschbaren Regeln basiert. VISO, RVL und das AVM sind weitere Beiträge dieser Arbeit. Darüber hinaus analysieren wir zunächst den Stand der Technik in der Visualisierung und RDF-Präsentation, indem wir 10 Ansätze nach 29 Kriterien vergleichen. Unser Ansatz ist einzigartig, da er eine ontologie-getriebene Nutzerführung mit komponierbaren visuellen Mappings vereint. Schließlich vergleichen wir drei Prototypen, welche die wesentlichen Teile unseres Ansatzes umsetzen, um seine Machbarkeit zu zeigen. Wir zeigen, wie der Mapping-Prozess durch Tools unterstützt werden kann, die Warnmeldungen für nicht optimale visuelle Abbildungen anzeigen, z. B. durch Berücksichtigung von Charakteristiken der Relationen wie »Symmetrie«. In einer konstruktiven Evaluation fordern wir sowohl die RVL-Sprache als auch den neuesten Prototyp heraus, indem wir versuchen Skizzen von Grafiken umzusetzen, die wir während der Analyse manuell erstellt haben. Wir zeigen, wie Grafiken variiert werden können und komplexe Mappings aus einfachen zusammengesetzt werden können. Zwei Drittel der Skizzen können fast vollständig oder vollständig spezifiziert werden und die Hälfte kann fast vollständig oder vollständig umgesetzt werden
Werlang, Ricardo. "Ontology-based approach for standard formats integration in reservoir modeling." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/115196.
Full textThe integration of data issued from autonomous and heterogeneous sources is still a significant problem for an important number of applications. In the oil and gas industry, a large amount of data is generated every day from multiple sources such as seismic data, well data, drilling data, transportation data, and marketing data. However, these data are acquired by the application of different techniques and represented in different standards and formats. Thus, these data exist in a structured form in databases, and in semi-structured forms in spreadsheets and documents such as reports and multimedia collections. To deal with this large amount of information, as well as the heterogeneous data formats of the data, the information needs to be standardized and integrated across systems, disciplines and organizational boundaries. As a result, this information integration will enable better decision making within collaborations, once high quality data will be accessible timely. The petroleum industry depends on the efficient use of these data to the construction of computer models in order to simplify the geological reality and to help understanding it. Such a model, which contains geological objects analyzed by different professionals – geologists, geophysicists and engineers – does not represent the reality itself, but the expert’s conceptualization. As a result, the geological objects modeled assume distinct semantic representations and complementary in supporting decision-making. For keeping the original intended meanings, ontologies were used for expliciting the semantic of the models and for integrating the data and files generated in the various stages of the exploration chain. The major claim of this work is that interoperability among earth models built and manipulated by different professionals and systems can be achieved by making apparent the meaning of the geological objects represented in the models. We show that domain ontologies developed with support of theoretical background of foundational ontologies show to be an adequate tool to clarify the semantic of geology concepts. We exemplify this capability by analyzing the communication standard formats most used in the modeling chain (LAS,WITSML, and RESQML), searching for entities semantically related with the geological concepts described in ontologies for Geosciences. We show how the notions of identity, rigidity, essentiality and unity applied to ontological concepts lead the modeler to more precisely define the geological objects in the model. By making explicit the identity properties of the modeled objects, the modeler who applies data standards can overcome the ambiguities of the geological terminology. In doing that, we clarify which are the relevant objects and properties that can be mapped from one model to another, even when they are represented with different names and formats.
Ducrou, Amanda Joanne. "Complete interoperability in healthcare technical, semantic and process interoperability through ontology mapping and distributed enterprise integration techniques /." Access electronically, 2009. http://ro.uow.edu.au/theses/3048.
Full textPolowinski, Jan. "Semi-Automatic Mapping of Structured Data to Visual Variables." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-108497.
Full textWährend Semantic-Web-Daten maschinenverstehbar und hervorragend filterbar sind, sind sie — in ihrer Rohform — nicht leicht von Menschen verstehbar. Eine Visualisierung der Daten ist deshalb notwendig. Die Kernherausforderung dabei ist eine flexible Abbildung der strukturierten aber heterogenen Daten auf Visuelle Variablen. Diese Arbeit beschreibt eine hochflexible halbautomatische Lösung bei maximaler Unterstützung des Visualisierungsprozesses, welcher die Abbildungsmöglichkeiten, aus denen der Nutzer zu wählen hat, auf eine sinnvolle Teilmenge reduziert. Die Grundlage dafür sind einerseits Metriken und das Wissen über die Struktur der Daten und andererseits das Wissen über verfügbare Visualisierungsstrukturen, -plattformen und bekannte grafische Fakten, welche durch eine neuentwickelte Visualisierungsontologie bereitgestellt werden. Basierend auf Standards des Semantic Webs und der Model-getriebenen Architektur, wurde desweiteren ein deklaratives, plattformunabhängiges Visualisierungsvokabular und -framework entwickelt
Lera, Castro Isaac. "Ontology Matching based On Class Context: to solve interoperability problem at Semantic Web." Doctoral thesis, Universitat de les Illes Balears, 2012. http://hdl.handle.net/10803/84074.
Full textJunior, Esdras Lins Bispo. "Métricas de avaliação de alinhamento de ontologias." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-21022014-162402/.
Full textIn the ontology matching field, different metrics are used to evaluate the resulting alignments. Metrics based on alignment adopt the basic principle of verifying a proposed alignment against a reference alignment. Some of these metrics do not achieve good results because (i) they cannot always distinguish between a totally wrong alignment and one which is almost correct; and (ii) they cannot estimate the effort for the user to refine the resulting alignment. This work aims to present a new approach to evaluate ontology alignments. Our approach presents a measure that uses the usual queries in the original ontologies to assess the quality of the proposed alignment. We also present some satisfactory results of our approach with regard to widely used metrics.
Hamdi, Fayçal. "Améliorer l'interopérabilité sémantique : applicabilité et utilité de l'alignement d'ontologies." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00662523.
Full textCavaco, Francisco António Gonçalves. "Ontologies learn by searching." Master's thesis, FCT-UNL, 2011. http://hdl.handle.net/10362/7086.
Full textDue to the worldwide diversity of communities, a high number of ontologies representing the same segment of reality which are not semantically coincident have appeared. To solve this problem, a possible solution is to use a reference ontology to be the intermediary in the communications between the community enterprises and to outside. Since semantic mappings between enterprise‘s ontologies are established, this solution allows each of the enterprises to keep internally its own ontology and semantics unchanged. However information systems are not static, thus established mappings become obsoletes with time. This dissertation‘s objective is to identify a suitable method that combines semantic mappings with user‘s feedback, providing an automatic learning to ontologies & enabling auto-adaptability and dynamism to the information systems
Saunders, Garret. "Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/2164.
Full textSaunders, Garrett. "Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/7021.
Full textBedeschi, Luca. "Ricerca, elaborazione e mapping su standard ontologici moderni." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12841/.
Full textHoffmann, Patrick. "Similarité sémantique inter ontologies basée sur le contexte." Phd thesis, Université Claude Bernard - Lyon I, 2008. http://tel.archives-ouvertes.fr/tel-00363300.
Full textNous proposons une méthodologie pour déterminer, modeler et utiliser le contexte. En l'appliquant, nous découvrons trois usages du contexte qui contribuent à améliorer la réconciliation d'ontologies : Nous proposons de désambiguïser les sens pragmatiques possibles des concepts en comparant les "perspectives" avec lesquelles les concepts ont été développés ; de personnaliser en considérant le contexte des agents, constitué d'une sélection pertinente parmi les domaines et tâches de l'organisation ; d'évaluer la pertinence des données associées au concept pour la tâche qui a suscité le besoin en interopérabilité.
Cavalcanti, Neto Olavo de Holanda. "Joint-de: sistema de mapeamento objeto-ontologia com suporte a objetos desconectados." Universidade Federal de Alagoas, 2014. http://www.repositorio.ufal.br/handle/riufal/1609.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
Nos últimos anos, é crescente o desenvolvimento e o uso de ontologias na criação de aplicações mais inteligentes e eficazes que têm como objetivo solucionar problemas encontrados comumente na Web. Toda essa popularidade se deve ao fato de que ontologias tentam oferecer semântica aos dados consumidos pelas máquinas de forma que ela possa raciocinar sobre estes dados. Todavia, a larga adoção da Web Semântica pode ser ainda acelerada ao prover ferramentas sosticadas que diminuam a barreira de desenvolvimento de aplicações baseadas em RDF e OWL. Desenvolvedores de aplicações com bancos de dados relacionais já estão acostumados com ferramentas como o Hibernate, que oferecem um mapeamento objeto-relacional e o gerenciamento de estados dos objetos. Na verdade, o principal estado de objeto que o Hibernate disponibiliza é o desconectado. Entretanto, a grande maioria dos sistemas de mapeamento objeto-ontologia (OOMS) apenas disponibiliza objetos persistentes. A grande diferença entre os dois tipos de objetos é que o primeiro tem seu ciclo de vida independente da conexão com o banco de dados RDF, já o último é limitado à conexão. Neste contexto, este trabalho propõe a criação de um sistema de mapeamento objeto-ontologia que suporta objetos desconectados, chamado JOINT-DE. Com este sistema, desenvolvedores de aplicações baseados em ontologias podem: i) utilizar os objetos oriundos do banco de dados RDF como objetos do modelo de negócio, transitando nas diversas camadas da aplicação; ii) utilizar esses objetos como objetos de transferência de dados (DTOs) entre subsistemas e iii) desenvolver pequenas transações com objetos desconectados que representam uma unidade longa de transação para o usuário da aplicação. Para exemplificar os benefícios do sistema proposto, um estudo de caso de uma aplicação real é apresentado, expondo as limitações arquiteturais dessa aplicação ao utilizar um OOMS existente na literatura, além de mostrar resultados favoráveis à implantação do JOINT-DE. Por fim, um experimento foi planejado e executado com o objetivo de comparar o JOINT-DE com outro OOMS bastante utilizado pela comunidade: Alibaba. As análises estatísticas realizadas nesse experimento apontaram resultados satisfatórios com relação ao JOINT-DE.
Reynolds, Peggy E. "Depth Technology: Remediating Orientation." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354298228.
Full textRangaraj, Jithendra Kumar. "Knowledge-based Data Extraction Workbench for Eclipse." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354290498.
Full textArsénio, Pedro. "Qualidade da paisagem e fitodiversidade. Contributo para o ordenamento e gestão de áreas costeiras de elevado valor natural." Doctoral thesis, ISA/UTL, 2011. http://hdl.handle.net/10400.5/5380.
Full textSaad, Sawsan. "Conception et Optimisation Distribuée d’un Système d’Information des Services d’Aide à la Mobilité Urbaine Basé sur une Ontologie Flexible dans le Domaine de Transport." Thesis, Ecole centrale de Lille, 2010. http://www.theses.fr/2010ECLI0017/document.
Full textNowadays, information related on displacement and mobility in a transport network represents certainly a significant potential. So, this work aims to modeling, to optimize and to implement an Information System of Services to Aid the Urban Mobility (ISSAUM).The ISSAUM has firstly to decompose each set of simultaneous requests into a set of sub-requests called tasks. Each task corresponds to a service which can be proposed different by several information providers with different. An information provider which aims to propose some services through our ISSAUM has to register its ontology. Indeed, ISSAUM is related to an Extended and distributed Transport Multimodal Network (ETMN) which contains several heterogeneous data sources. The dynamic and distributed aspects of the problem incite us to adopt a multi-agent approach to ensure a continual evolution and a pragmatic flexibility of the system. So, we proposed to automate the modeling of services by using ontology idea. Our ISSAUM takes into account possible disturbance through the ETMN. In order to satisfy user requests, we developed a negotiation protocol between our system agents. The proposed ontology mapping negotiation model based on the knowledge management system for supporting the semantic heterogeneity and it organized as follow: Negotiation Layer (NL), the Semantic Layer (SEL), and the Knowledge Management Systems Layer(KMSL).We detailed also the reassignment process by using Dynamic Reassigned Tasks (DRT) algorithm supporting by ontology mapping approach. Finally, the experimental results presented in this thesis, justify the using of the ontology solution in our system and its role in the negotiation process
Saleem, Khalid. "Schema Matching and Integration in Large Scale Scenarios." Montpellier 2, 2008. http://www.theses.fr/2008MON20126.
Full textSemantic matching of schemas in heterogeneous data sharing systems is time consuming and error prone. The dissertation presents a new robust automatic method which integrates a large set of domain specific schemas, represented as tree structures, based upon semantic correspondences among them. The method also creates the mappings from source schemas to the integrated schema. Existing mapping tools employ semi-automatic techniques for mapping two schemas at a time. In a large-scale scenario, where data sharing involves a large number of data sources, such techniques are not suitable. Semi-automatic matching requires user intervention to finalize a certain mapping. Although it provides the flexibilty to compute the best possible mapping but time performance wise abates the whole matching process. At first, the dissertation gives a detail discussion about the state of the art in schema matching. We summarize the deficiencies in the currently available tools and techniques for meeting the requirements of large scale schema matching scenarios. Our approach, PORSCHE (Performance ORiented SCHEma Mediation) is juxtaposed to these shortcomings and its advantages are highlighted with sound experimental support. PORSCHE associated algorithms, first cluster the tree nodes based on linguistic label similarity. Then, it applies a tree mining technique using node ranks calculated during depth-first traversal. This minimises the target node search space and improves time performance, which makes the technique suitable for large scale data sharing. PORSCHE implements a hybrid approach, which also in parallel, incrementally creates an integrated schema encompassing all schema trees, and defines mappings from the contributing schemas to the integrated schema. The approach discovers 1:1 mappings for integration and mediation purposes. Formal experiments on real and synthetic data sets show that PORSCHE is scalable in time performance for large scale scenarios. The quality of mappings and integrity of the integrated schema is also verified by the experimental evaluation. Moreover, we present a technique for discovering complex match (1:n, n:1 and n:m) propositions between two schemas, validated by mini-taxonomies. These mini-taxonomies are extracted from the large set of domain specific metadata instances represented as tree structures. We propose a framework, called ExSTax (Extracting Structurally Coherent Mini-Taxonomies) based on frequent sub-tree mining, to support our idea. We further extend the ExSTax framework for extracting a reliable domain specific taxonomy
Elbyed, Abdeltif. "ROMIE, une approche d'alignement d'ontologies à base d'instances." Phd thesis, Institut National des Télécommunications, 2009. http://tel.archives-ouvertes.fr/tel-00541874.
Full textMATONGO, Tanguy, and Auriol DEGBELO. "APPLYING ENTERPRISE MODELS AS INTERFACE FOR INFORMATION SEARCHING." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-11091.
Full textNowadays, more and more companies use Enterprise Models to integrate and coordinate their business processes with the aim of remaining competitive on the market. Consequently, Enterprise Models play a critical role in this integration enabling to improve the objectives of the enterprise, and ways to reach them in a given period of time. Through Enterprise Models, companies are able to improve the management of their operations, actors, processes and also to improve communication within the organisation.
This thesis describes another use of Enterprise Models. In this work, we intend to apply Enterprise Models as interface for information searching. The underlying needsfor this project lay in the fact that we would like to show that Enterprise Models canbe more than just models but it can be used in a more dynamic way which is through a software program for information searching. The software program aimed at, first,extracting the information contained in the Enterprise Models (which are stored into aXML file on the system). Once the information is extracted, it is used to express a query which will be sent into a search engine to retrieve some relevant document to the query and return them to the user.
The thesis was carried out over an entire academic semester. The results of this workare a report which summarizes all the knowledge gained into the field of the study. A software has been built to serve as a proof of testing the theories.
Liu, Qiang. "Dealing with Missing Mappings and Structure in a Network of Ontologies." Licentiate thesis, Linköpings universitet, Databas och informationsteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-64281.
Full textAleksakhin, Vladyslav. "Visualization of gene ontology and cluster analysis results." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21248.
Full textLopes, Fernanda LiÂgia Rodrigues. "Access to data from Ontology Using Mappings Heterogeneous and Logic Programming." Universidade Federal do CearÃ, 2010. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14156.
Full textOntologies have been used in different areas, including Data Integration and Semantic Web, to provide formal descriptions to data sources as well as to associate semantics to them and to make information easier to discover and to recover. In this context, one of the most relevant issues is the Ontology-Based Data Access â OBDA, which is the problem of accessing one or more data sources by means of a conceptual representation expressed in terms of an ontology. The independence between the ontology layer and the data layer, and the ability of answering more expressive queries than the ones defined using description logics are some of the main distinguished issues of the ODBA. In this work, we specify an environment for OBDA, which deals with this problem considering a set of independent tasks. Our main contribution concerns the definition and implementation of a query rewriting process between ontologies structurally heterogeneous. In the proposed query rewriting approach, we combine the semantics and expressiveness of SPARQL with logic programming and we adopt a rulebased formalism to represent mappings between ontologies. We also deal with some relevant questions, including: the structural heterogeneity, the prune of irrelevant parts of the rewritten query and the representation of query results according to the target ontology. It is important to note that, although in this work we discuss the use of the proposed solution considering just two ontologies, it can also be extended and applied for data distributions cenarios with multiple ontologies.
Em vÃrias Ãreas, tais como IntegraÃÃo de Dados e Web SemÃntica, ontologias tÃm sido adotadas para descrever formalmente a semÃntica das fontes de dados, com o intuito de facilitar a descoberta e a recuperaÃÃo de informaÃÃes. Dentro desse contexto, o Acesso a Dados Baseado em Ontologias (Ontology-Based Data Access - OBDA) à um problema decorrente da necessidade de acessar tais fontes a partir das ontologias que representam seus modelos conceituais. Dentre as principais caracterÃsticas do OBDA, destacamos a independÃncia entre as ontologias e a camada de dados e a possibilidade de responder a consultas que sejam mais expressivas que as geralmente realizadas utilizando LÃgica Descritiva. Neste trabalho, especificamos um ambiente de OBDA no qual este problema à dividido em uma sÃrie de passos que podem ser tratados de maneira independente. Dentre cada um destes passos especificados, nossa principal contribuiÃÃo reside na definiÃÃo e implementaÃÃo de um processo para reescrita de consultas entre ontologias estruturalmente distintas. Em nossa abordagem de reescrita, manipulamos a consulta de entrada combinando a semÃntica e a expressividade da linguagem SPARQL com um mÃtodo baseado em noÃÃes de ProgramaÃÃo em LÃgica, uma vez que utilizamos mapeamentos heterogÃneos expressos atravÃs de regras. AlÃm disso, tratamos aspectos referentes Ãs diferenÃas estruturais entre as ontologias, possibilitamos que partes da consulta reescrita possam ser descartadas durante o processo, caso seja constatado que tais partes seriam desnecessÃrias, e permitimos que os resultados sejam reestruturados e apresentados conforme a ontologia alvo. Por fim, à vÃlido destacar que, embora a soluÃÃo apresentada tenha como foco duas ontologias, esta pode ser estendida para considerar aspectos especÃficos de distribuiÃÃo.
Sicilia, Gómez Álvaro. "Supporting Tools for Automated Generation and Visual Editing of Relational-to-Ontology Mappings." Doctoral thesis, Universitat Ramon Llull, 2016. http://hdl.handle.net/10803/398843.
Full textLa integración de datos con formatos heterogéneos y de diversos dominios mediante tecnologías de la Web Semántica permite solventar su disparidad estructural y semántica. El acceso a datos basado en ontologías (OBDA, en inglés) es una solución integral que se basa en el uso de ontologías como esquemas mediadores y mapeos entre los datos y las ontologías para facilitar la consulta de las fuentes de datos. Sin embargo, una de las principales barreras que puede dificultar más la adopción de OBDA es la falta de herramientas para apoyar la creación de mapeos entre datos y ontologías. El objetivo de esta investigación ha sido desarrollar nuevas herramientas que permitan a expertos sin conocimientos de ontologías la creación de mapeos entre datos y ontologías. Con este fin, se han llevado a cabo dos líneas de trabajo: la generación automática de mapeos entre datos relacionales y ontologías y la edición de los mapeos a través de su representación visual. Las herramientas actualmente disponibles para automatizar la generación de mapeos están lejos de proporcionar una solución completa, ya que se basan en los esquemas relacionales y apenas tienen en cuenta los contenidos de la fuente de datos relacional y las características de la ontología. Sin embargo, los datos pueden contener relaciones ocultas que pueden ayudar a la generación de mapeos. Para superar esta limitación, hemos desarrollado AutoMap4OBDA, un sistema que genera automáticamente mapeos R2RML a partir del análisis de los contenidos de la fuente relacional y teniendo en cuenta las características de la ontología. El sistema emplea una técnica de aprendizaje de ontologías para inferir jerarquías de clases, selecciona las métricas de similitud de cadenas en base a las etiquetas de las ontologías y analiza las estructuras de grafos para generar los mapeos a partir de la estructura de la ontología. La representación visual por medio de interfaces intuitivas puede ayudar a los usuarios sin conocimientos técnicos a establecer mapeos entre una fuente relacional y una ontología. Sin embargo, las herramientas existentes para la edición visual de mapeos muestran algunas limitaciones. En particular, la representación de mapeos no contempla las estructuras de la fuente relacional y de la ontología de forma conjunta. Para superar este inconveniente, hemos desarrollado Map-On, un entorno visual web para la edición manual de mapeos. AutoMap4OBDA ha demostrado que supera las prestaciones de las soluciones existentes para la generación de mapeos. Map-On se ha aplicado en proyectos de investigación para verificar su eficacia en la gestión de mapeos.
Integration of data from heterogeneous formats and domains based on Semantic Web technologies enables us to solve their structural and semantic heterogeneity. Ontology-based data access (OBDA) is a comprehensive solution which relies on the use of ontologies as mediator schemas and relational-to-ontology mappings to facilitate data source querying. However, one of the greatest obstacles in the adoption of OBDA is the lack of tools to support the creation of mappings between physically stored data and ontologies. The objective of this research has been to develop new tools that allow non-ontology experts to create relational-to-ontology mappings. For this purpose, two lines of work have been carried out: the automated generation of relational-to-ontology mappings, and visual support for mapping editing. The tools currently available to automate the generation of mappings are far from providing a complete solution, since they rely on relational schemas and barely take into account the contents of the relational data source and features of the ontology. However, the data may contain hidden relationships that can help in the process of mapping generation. To overcome this limitation, we have developed AutoMap4OBDA, a system that automatically generates R2RML mappings from the analysis of the contents of the relational source and takes into account the characteristics of ontology. The system employs an ontology learning technique to infer class hierarchies, selects the string similarity metric based on the labels of ontologies, and analyses the graph structures to generate the mappings from the structure of the ontology. The visual representation through intuitive interfaces can help non-technical users to establish mappings between a relational source and an ontology. However, existing tools for visual editing of mappings show somewhat limitations. In particular, the visual representation of mapping does not embrace the structure of the relational source and the ontology at the same time. To overcome this problem, we have developed Map-On, a visual web environment for the manual editing of mappings. AutoMap4OBDA has been shown to outperform existing solutions in the generation of mappings. Map-On has been applied in research projects to verify its effectiveness in managing mappings.
Arnold, Patrick [Verfasser], Erhard [Akademischer Betreuer] Rahm, and Sören [Gutachter] Auer. "Semantic Enrichment of Ontology Mappings / Patrick Arnold ; Gutachter: Sören Auer ; Betreuer: Erhard Rahm." Leipzig : Universitätsbibliothek Leipzig, 2016. http://d-nb.info/1240243200/34.
Full textDo, Hong-Hai. "Schema matching and mapping based data integration architecture, approaches and evaluation." Saarbrücken VDM, Müller, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2863983&prov=M&dok_var=1&dok_ext=htm.
Full textPolowinski, Jan. "Visualisierung großer Datenmengen im Raum." Thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-108506.
Full textGroße, stark vernetzte Datenmengen, wie sie in Wissensbasen oder Softwaremodellen vorkommen, sind von Menschen oft nur langsam und mühsam zu lesen, wenn sie als Tabellen oder Text dargestellt werden. Graphische Darstellungen können Menschen helfen, Tatsachen intuitiver zu verstehen und bieten einen schnellen Überblick. Die elektronische Darstellung bietet Mittel, welche über die Möglichkeiten von Print hinausgehen, wie z.B. unbegrenzten Zoom und Hyperlinks. Diese Arbeit stellt ein Framework für die Visualisierung vernetzter Informationen im 3D-Raum vor, welches Techniken der Gestaltung zur Erstellung von graphischen Strukturen und zur Abbildung von Informationen auf graphische Eigenschaften berücksichtigt
Serra, Simone. "Background annotation of entities in Linked Data vocabularies." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162758.
Full textPolowinski, Jan [Verfasser], Uwe [Akademischer Betreuer] [Gutachter] Aßmann, and Ulrich W. [Gutachter] Eisenecker. "Ontology-Driven, Guided Visualisation Supporting Explicit and Composable Mappings / Jan Polowinski ; Gutachter: Uwe Aßmann, Ulrich W. Eisenecker ; Betreuer: Uwe Aßmann." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://d-nb.info/1144286557/34.
Full textBoyd, Tyler. "Ontology of Geological Mapping." 2016. http://scholarworks.gsu.edu/geosciences_theses/94.
Full textTsai, Bai-Jung, and 蔡佰忠. "A Similarity Selection Method for Ontology Mapping." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/85757472517067425802.
Full text國立中正大學
電機工程研究所
101
Ontology is a good method to define knowledge and to record the domain of knowledge. There are different ways of designing ontology. Based on different goals of different builders, same domain may have different ontology structures defined in different types. How to integrate same ontology in different structures has become an important research topic, and ontology mapping has received some attention. OAEI is an organization which provides a chance for those who study ontology mapping to compare their study with others. What is important for ontology mapping is to know how to find the similarity part in two sets of ontology. In early years, most study just considered single similarity for their ontology mapping. Later, more researchers have started to develop many methods to filter out the possible combination of mapping two structures to produce a better result. In this study, I expect to improve ontology mapping efficacy by using multiple similarity and a series of filtering actions to produce high possibility to mapping.
Falconer, Sean M. "Cognitive support for semi-automatic ontology mapping." Thesis, 2009. http://hdl.handle.net/1828/1362.
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