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Academic literature on the topic 'Semantic data integration'
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Dissertations / Theses on the topic "Semantic data integration"
1
DIAS, SANDRA APARECIDA. "SEMANTIC DATA INTEGRATION WITH AN ONTOLOGY FEDERATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9148@1.
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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O advento da WEB propiciou a disseminação de bases de
dados distribuídas
e heterogêneas. Por vezes, a resposta a uma consulta
demanda o uso de várias
destas bases. É necessário, então, algum nível de
integração destas. A publicação
dessas bases nem sempre segue um padrão semântico. Em
função disso parece ser
essencial existir um meio de relacionar os diferentes
dados para satisfazer tais
consultas. Este processo é comumente denominado de
integração de dados. A
comunidade de Banco de Dados tem conhecimento de métodos
para dar conta
desta integração no contexto de federações de Bancos de
Dados heterogêneos. No
entanto, atualmente existem descrições mais ricas e com
mais possibilidades de
semântica, tais como aquelas induzidas pelo conceito de
ontologia. A comunidade
de Banco de Dados tem considerado ontologias na solução do
problema da
integração de Banco de Dados. O alinhamento ou merge de
ontologias são
algumas das propostas conhecidas da comunidade de WEB
semântica. Este
trabalho propõe o uso de métodos de merge de ontologias
como solução ao
problema da construção de uma federação de ontologias como
método integrador
de fontes de dados. O trabalho inclui a implementação de
um estudo de caso na
ferramenta Protegé. Este estudo de caso permite discutir
aspectos de
escalabilidade e de aplicabilidade da proposta como uma
solução
tecnologicamente viável.<br>The WEB has spread out the use of heterogeneous
distributed databases.
Sometimes, the answer to a query demands the use of more
than one database.
Some level of integration among these databases is
desired. However, frequently,
the bases were not designed according a unique semantic
pattern. Thus, it seems
essential to relate the different data, in the respective
base, in order to provide an
adequate answer to the query. The process of building this
relationship is often
called data integration. The Data Base community has
acquired enough
knowledge to deal with this in the context of Data Base
Heterogeneous
Federation. Nowadays, there are more expressive model
descriptions, namely
ontologies. The Data Base community has also considered
ontologies as a tool to
contribute as part of a solution to the data integration
problem. The Semantic
WEB community defined alignment or merge of ontologies as
one of the possible
solutions to the some of this integration problem. This
work has the aim of using
merge of ontologies methods as a mean to define the
construction of a
Federation of ontologies as a mean to integrate source of
data. The dissertation
includes a case study written in the Protegé tool. From
this case study, a
discussion follows on the scalability and applicability of
the proposal as a feasible
technological solution for data integration.
2
Xu, Jian. "Supporting domain heterogeneous data sources for semantic integration." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36583.
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A SEMantic Integration System (SemIS) allows a query over one database to be answered using the knowledge managed in multiple databases in the system. It does so by translating a query across the collaborative databases in which data is autonomously managed in heterogeneous schemas. In this thesis, we investigate the challenges that arise in enabling domain heterogeneous (DH) databases to collaborate in a SemIS. In such a setting, distributed databases modeled as independent data sources are pairwise mapped to form the semantic overlay network (SON) of the SemIS. We study two problems we believe are foremost to allow a SemIS to integrate DH data sources.
The first problem tackled in this thesis is to efficiently organize data sources so that query answering is efficient despite the increased level of source heterogeneity. This problem is modeled as an “Acquaintance Selection” problem and our solution helps data sources to choose appropriate acquaintances to create schema mappings with and therefore allows a SemIS to have a single-layered and flexible SON.
The second problem tackled in this thesis is to allow aggregate queries to be translated across domain heterogeneous (DH) data sources where objects are usually represented and managed at different granularity. We focus our study on relational databases and propose novel techniques that allow a (non-aggregate) query to be answered by aggregations over objects at a finer granularity. The new query answering framework, named “decomposition aggregation query (DAQ)” processing, integrates data sources holding information in different domains and different granularity. New challenges are identified and tackled in a systematic way. We studied query optimizations for DAQ to provide efficient and scalable query processing.
The solutions for both problems are evaluated empirically using real-life data and synthetic data sets. The empirical studies verified our theoretical claims and showed the feasibility, applicability (for real-life applications) and scalability of the techniques and solutions.
3
Tous, Liesa Rubén. "Data Integration with XML and Semantic Web Technologies." Doctoral thesis, Universitat Pompeu Fabra, 2006. http://hdl.handle.net/10803/7535.
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En general, la integració de múltiples bases de dades heterogènies té com a objectiu oferir una visió unificada sobre un conjunt de dades preexistent. Aquesta tesi contribueix a diferents aspectes del disseny de sistemes de integració de dades moderns en el context de la World Wide Web. <br/><br/>Per un costat, la tesi contribueix a la línia de recerca de la Integració Semàntica, que fa referència al problema de reconciliar dades de fonts autònomes mitjançant l'ús d'ontologies i altres eines semàntiques. La tesi suggereix una nova solució a la integració semàntica XML-RDF, i també contribueix al problema de l'Alineació d'Ontologies, definint una mesura de similitud semàntica rigorosa i escalable per grafs etiquetats i dirigits RDF. Per un altre costat, la tesi suggereix una nova solució al problema de traduir una consulta d'un usuari (dirigida a un esquema lògic intermediari), en consultes sobre un conjunt de fonts de dades autònomes, provistes de interfícies web restringides.<br>En general, la integración de múltiples bases de datos heterogenias tiene como objetivo ofrecer una visión unificada sobre un conjunto de datos preexistente. Esta tesis contribuye a diferentes aspectos del diseño de sistemas de integración de datos modernos en el contexto de la World Wide Web. <br/><br/>Por un lado, la tesis contribuye a la línea de investigación de la Integración Semántica, que hace referencia al problema de reconciliar datos de fuentes autónomas mediante el uso de ontologías i otras herramientas semánticas. La tesis sugiere una nueva solución a la integración semántica XML-RDF, y también contribuye al problema de la Alineación de Ontologías, definiendo una medida de similitud semántica rigurosa i escalable para grafos etiquetados y dirigidos RDF. Por otro lado, la tesis sugiere una nueva solución al problema de traducir una consulta de un usuario (dirigida a un esquema lógico intermediario), en consultas sobre un conjunto de fuentes de datos autónomas, provistas de interfaces web restringidas.<br>In general, integration of multiple heterogeneous databases aims at giving a unified view over a set of pre-existent data. This thesis contributes to different aspects of the design of modern data integration systems in the context of the World Wide Web. <br/><br/>On one hand, this thesis contributes to the Semantic Integration research trend, which refers to the problem of reconciling data from autonomous sources using ontologies and other semantic-based tools. The thesis suggests a novel solution to XML-RDF semantic integration and also contributes to the problem of Ontology Alignment, defining a rigorous and scalable semantic similarity measure for RDF labelled directed graphs. On the other hand, this thesis suggests a novel solution to the problem of translating a user query (targeting a logical mediated schema), into queries over a set of autonomous data sources provided with restricted web interfaces.
4
Ziegler, Patrick. "The SIRUP approach to personal semantic data integration /." [S.l. : s.n.], 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016357341&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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5
Lister, Allyson Lurena. "Enhancing systems biology models through semantic data integration." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1419.
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Studying and modelling biology at a systems level requires a large amount of data of different experimental types. Historically, each of these types is stored in its own distinct format, with its own internal structure for holding the data produced by those experiments. While the use of community data standards can reduce the need for specialised, independent formats by providing a common syntax, standards uptake is not universal and a single standard cannot yet describe all biological data. In the work described in this thesis, a variety of integrative methods have been developed to reuse and restructure already extant systems biology data. SyMBA is a simple Web interface which stores experimental metadata in a published, common format. The creation of accurate quantitative SBML models is a time-intensive manual process. Modellers need to understand both the systems they are modelling and the intricacies of the SBML format. However, the amount of relevant data for even a relatively small and well-scoped model can be overwhelming. Saint is a Web application which accesses a number of external Web services and which provides suggested annotation for SBML and CellML models. MFO was developed to formalise all of the knowledge within the multiple SBML specification documents in a manner which is both human and computationally accessible. Rule-based mediation, a form of semantic data integration, is a useful way of reusing and re-purposing heterogeneous datasets which cannot, or are not, structured according to a common standard. This method of ontology-based integration is generic and can be used in any context, but has been implemented specifically to integrate systems biology data and to enrich systems biology models through the creation of new biological annotations. The work described in this thesis is one step towards the formalisation of biological knowledge useful to systems biology. Experimental metadata has been transformed into common structures, a Web application has been created for the retrieval of data appropriate to the annotation of systems biology models and multiple data models have been formalised and made accessible to semantic integration techniques.
6
Okat, Caglar. "Using Semantic Web Services For Data Integration In Banking Domain." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611782/index.pdf.
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A semantic model oriented transformation mechanism is developed for the centralization of intra-enterprise data integration. Such a mechanism is especially crucial in the banking domain which is selected in this study. A new domain ontology is constructed to provide basis for annotations. A bottom-up approach is preferred for semantic annotations to utilize existing web service definitions. Transformations between syntactic web service XML responses and semantic model concepts are defined in transformation files. Transformation files are stored and executed in a separate central transformation repository to enhance abstraction and reusability. An RDF-Store is implemented to store transformed RDF data. Inference power of semantic model is exposed by executing semantic queries in the RDF-Store.
7
Lewis, Richard. "A semantic approach to railway data integration and decision support." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5959/.
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The work presented in this thesis was motivated by the desire of the railway industry to capitalise on new technology developments promising seamless integration of distributed data. This includes systems that generate, consume and transmit data for asset decision support. The primary aim of the research was to investigate the limitations of previous syntactic data integration exercises, creating a foundation for semantic system development. The objective was to create a modelling process enabling domain experts to provide the information concepts and semantic relationships between those concepts. The resulting model caters for the heterogeneity between systems supplying data that previous syntactic approaches failed to achieve and integrate data from multiple systems such that the context of data is not lost when centralised in a repository. The essence of this work is founded on two characteristics of distributed data management; the first is that current Web tools, like XML, are not effective for all aspects of technical interoperability because they do not capture the context of the data; and second, there is little relationship between conventional database management systems and the data structures that are utilised in Web based data exchange which means that a different set of architecture components are required.
8
Tous, Ruben. "Data integration with XML and semantic web technologies novel approaches in the design of modern data integration systems." Saarbrücken VDM Verlag Dr. Müller, 2006. http://d-nb.info/991303105/04.
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Linse, Benedikt. "Data Integration on the (Semantic) Web with Rules and Rich Unification." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-116396.
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Petersen, Niklas [Verfasser]. "Towards Semantic Integration of Supply Chain and Production Data / Niklas Petersen." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1222588811/34.
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