Over the last years, collaborative research has been continuously growing in many scientific areas such as biomedicine. However, traditional Knowledge Discovery in databases (KDD) processes generally adopt centralized...
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ISBN:
(纸本)9783642029752
Over the last years, collaborative research has been continuously growing in many scientific areas such as biomedicine. However, traditional Knowledge Discovery in databases (KDD) processes generally adopt centralized approaches that do not fully address many research needs in these distributed environments. This paper presents a method to improve traditional centralized KDD by adopting an ontology-based distributed model. Ontologies are used within this model: (i) is Virtual Schemas (VS) to solve structural heterogeneities in databases and (ii) as frameworks to guide automatic transformations when data is retrieved by users-Preprocessing Ontologies (PO). Both types of ontologies aim to facilitate data gathering and preprocessing while maintaining data source decentralization. This ontology-based approach allows to link database integration and data mining, improving final results, reusability and interoperability. The results obtained present improvements in outcome performance and new capabilities compared to traditional KDD processes.
Ontology mapping is a technique that has become very useful for matching semantics between ontologies or schemas that were designed independently of each other. The main goal of the ontology mapping is to enable inter...
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Currently, there are different database management systems (DBMS) available and the integration between different database systems is required. There are tools and techniques available for schema matching, but most of...
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ISBN:
(纸本)9780769550138
Currently, there are different database management systems (DBMS) available and the integration between different database systems is required. There are tools and techniques available for schema matching, but most of them require manual intervention. However, in this paper, a new algorithm named as Multi-Source Heterogeneous database integration (MSHDI) is proposed which effectively performs 1:1 and M:1 database integration and determines semantic matches automatically. This paper introduces a novel experimentation with existing heterogeneous database systems such as Oracle, Microsoft SQL Server and Microsoft Excel for schema matching and data integration. In comparison with existing algorithms, this approach achieves full automation and better results on any real-world databases of same domain.
This paper demonstrated the Dart database Grid system developed by Grid Research Center of Zhejiang University. Dart database Grid is built upon several Semantic Web standards and the Globus grid toolkits. It is mainl...
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ISBN:
(纸本)354025207X
This paper demonstrated the Dart database Grid system developed by Grid Research Center of Zhejiang University. Dart database Grid is built upon several Semantic Web standards and the Globus grid toolkits. It is mainly intended to provide a Dynamic, Adaptive, RDF-mediated and Transparent (DART) approach to database integration for semantic web. This work has been applied to integrate data resources from the application domain of Traditional Chinese Medicine.
With the company further accelerating the process of information, the heterogeneity problem of each business system database is more and more salient. How to effectively use these historical data, integration of legac...
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With the company further accelerating the process of information, the heterogeneity problem of each business system database is more and more salient. How to effectively use these historical data, integration of legacy systems, become a hot spot of integration field. In this paper, how to effectively address heterogeneity of data distribution, to achieve customer access, while maintaining the autonomy of the local system for the objectives of heterogeneous database integration middleware based on Web Services *** show that middleware solution has certain feasibility and practicality.
The paper presents a database integration method named MysqlInside which mainly for small and medium information system, describes its composition and structure, introduces some key attributes and functions of its com...
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The paper presents a database integration method named MysqlInside which mainly for small and medium information system, describes its composition and structure, introduces some key attributes and functions of its components, and gives the core code in Java language for example. With the performance advantages of Mysql itself, MysqlInside is easy to use and has fully competent for small and medium information system’s database application requirements.
With the company further accelerating the process of information,the heterogeneity problem of each business system database is more and more *** to effectively use these historical data,integration of legacy systems,b...
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With the company further accelerating the process of information,the heterogeneity problem of each business system database is more and more *** to effectively use these historical data,integration of legacy systems,become a hot spot of integration *** this paper,how to effectively address heterogeneity of data distribution,to achieve customer access,while maintaining the autonomy of the local system for the objectives of heterogeneous database integration middleware based on Web Services *** show that middleware solution has certain feasibility and practicality.
The paper presents a database integration method named Mysql Inside which mainly for small and medium information system, describes its composition and structure, introduces some key attributes and functions of its co...
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The paper presents a database integration method named Mysql Inside which mainly for small and medium information system, describes its composition and structure, introduces some key attributes and functions of its components, and gives the core code in Java language for example. With the performance advantages of Mysql itself, Mysql Inside is easy to use and has fully competent for small and medium information system's database application requirements.
The enormous amount of clinical, pathological, and staining data to be linked, analyzed, and correlated in a tissue microarray (TMA) project makes digital slides ideal to be integrated into TMA database systems. With ...
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The enormous amount of clinical, pathological, and staining data to be linked, analyzed, and correlated in a tissue microarray (TMA) project makes digital slides ideal to be integrated into TMA database systems. With the help of a computer and dedicated software tools, digital slides offer dynamic access to microscopic information at any magnification with easy navigation, annotation, measurement, and archiving features. Advanced slide scanners work both in transmitted light and fluorescent modes to support biomarker testing with immunohistochemistry, immunofluorescence or fluorescence in situ hybridization (FISH). Currently, computer-driven integrated systems are available for creating TMAs, digitalizing TMA slides, linking sample and staining data, and analyzing their results. Digital signals permit image segmentation along color, intensity, and size for automated object quantification where digital slides offer superior imaging features and batch processing. In this chapter, the workflow and the advantages of digital TMA projects are demonstrated through the project-based MIRAX system developed by 3DHISTECH and supported by Zeiss. The enhanced features of digital slides compared with those of still images can boost integration and intelligence in TMA database management systems, offering essential support for high-throughput biomarker testing, for example, in tumor progression/prognosis, drug discovery, and target therapy research. less
Life science research now heavily relies on all sorts of databases for genome sequences, transcription, protein three-dimensional (3D) structures, protein–protein interactions, phenotypes and so forth. The knowledge ...
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