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2nd International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2011)

作者： Rostellato, Daniele Rizzo, Simone Ponzoni, Andrea Silvester, Nicholas James Ist Zooprofilatt Sperimentale Venezie Ctr Reg Epidemiol Vet I-35020 Legnaro PD Italy Ist Zooprofilatt Sperimentale Venezie Serv Informat I-35020 Legnaro PD Italy

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An Ontology-Based Approach for Semantic Conflict Resolution in database integration

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Journal of Computer Science & Technology 2007年第2期22卷 218-227页

作者：刘强黄涛刘绍华钟华 Institute of Software Chinese Academy of Sciences Beijing 100080 China Graduate School of the Chinese Academy of Sciences Beijing 100080 China

An important task in database integration is to resolve data conflicts, on both schema-level and semantic-level. Especially difficult the latter is. Some existing ontology-based approaches have been criticized for their lack of domain generality and semantic richness. With the aim to overcome these limitations, this paper introduces a systematic approach for detecting and resolving various semantic conflicts in heterogeneous databases, which includes two important parts： a semantic conflict representation model based on our classification framework of semantic conflicts, and a methodology for detecting and resolving semantic conflicts based on this model. The system has been developed, experimental evaluations on which indicate that this approach can resolve much of the semantic conflicts effectively, and keep independent of domains and integration patterns.

关键词： database integration semantic conflict resolution ontology RDF OWL

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Efficient approach to database integration for an aerospace vehicle design and certification framework

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ADVANCES IN ENGINEERING SOFTWARE 2018年 118卷 27-34页

作者： Maw, Aye Aye Lwin, Tun Tyan, Maxim Lee, Jae-Woo Kim, Sangho Konkuk Univ Dept Aerosp Informat Engn Seoul South Korea

The integration of distributed data sources is one of the main problems of engineering software. The data integration process for a heterogeneous legacy system is a key aspect of the development of a computerized system and in the integration of a design framework. In this research, our approach to data integration focuses on developing system-building techniques for efficient data integration queries. Keyword-based data searching is investigated and applied within a database for a design framework. A database table connector (DTC) wrapper program is implemented based on the use of data integration processes and keyword-based searching. The DTC provides data integration for various data resources from legacy programs and database management systems using SQL querying. The DTC enables designers and developers to rapidly and efficiently develop integration frameworks for different data resources. This paper also describes the implementation and deployment of the Certification and Aircraft Design integration System framework, which integrates various analysis and optimization codes, computer-aided design software and database management systems. Multiple data types are used within the framework, including databases, spreadsheets, flat files, XML files and personal data management. Several aircraft design and optimization problems are successfully solved using the developed framework.

关键词： Data integration database integration Data schema wrapper program integration of databases and legacy program GUI Aerospace design framework

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An evidential reasoning approach to attribute value conflict resolution in database integration

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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1996年第5期8卷 707-723页

作者： Lim, EP Srivastava, J Shekhar, S UNIV MINNESOTA DEPT COMP SCIMINNEAPOLISMN 55455

Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel [1] showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. In this paper, we show that uncertain information can also arise when the database integration process requires information not directly represented in the component databases, but can be obtained through some summary of data. We therefore propose an extended relational model based on Dempster-Shafer theory of evidence [2] to incorporate such uncertain knowledge about the source databases. The extended relation uses evidence sets to represent uncertainty in information, which allow probabilities to be attached to subsets of possible domain values. We also develop a full set of extended relational operations over the extended relations. In particular, an extended union operation has been formalized to combine two extended relations using Dempster's rule of combination. The closure and boundedness properties of our proposed extended operations are formulated. We also illustrate the use of extended operations by some query examples.

关键词： attribute value conflict database integration semantic heterogeneity evidential reasoning

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A Review of Methods and Tools for database integration in Biomedicine

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CURRENT BIOINFORMATICS 2010年第4期5卷 253-269页

作者： Anguita, Alberto Martin, Luis Perez-Rey, David Maojo, Victor Univ Politecn Madrid Dept Artificial Intelligence Fac Informat Biomed Informat Grp E-28660 Madrid Spain

The post-genomic era, beginning at the end of the Human Genome Project, has led to new needs and challenges in the management of clinical and -omics data. One of the main issues in this new context for biomedical data management is the integration of heterogeneous sources, enabling access to different, remote biological data sources and the interpretation and discovery of new knowledge. Many researchers and practitioners in a wide range of biomedical areas, such as, for instance, all those related to genomic and personalized medicine, have to access these data located at numerous remote sources. Over the last decade, this new scientific context has stimulated research into developing new techniques for seamless web-based data integration and access. Some of the main challenges include the integration of scattered, non-structured public databases, how to deal with sensitive personal information, or how to manage image data. This paper presents a review of methods, techniques and tools for data integration.

关键词： database integration biomedicine ontologies semantic mediation

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Heterogeneous database integration in biomedicine

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JOURNAL OF BIOMEDICAL INFORMATICS 2001年第4期34卷 285-298页

作者： Sujansky, W EPocrates Inc San Carlos CA 94070 USA

The rapid expansion of biomedical knowledge, reduction in computing costs, and spread of internet access have created an ocean of electronic data. The decentralized nature of our scientific community and healthcare system, however, has resulted in a patchwork of diverse, or heterogeneous, database implementations, making access to and aggregation of data across databases very difficult. The database heterogeneity problem applies equally to clinical data describing individual patients and biological data characterizing our genome. Specifically, databases are highly heterogeneous with respect to the data models they employ, the data schemas they specify, the query languages they support, and the terminologies they recognize. Heterogeneous database systems attempt to unify disparate databases by providing uniform conceptual schemas that resolve representational heterogeneities, and by providing querying capabilities that aggregate and integrate distributed data. Research in this area has applied a variety of database and knowledge-based techniques, including semantic data modeling, ontology definition, query translation, query optimization, and terminology mapping, Existing systems have addressed heterogeneous database integration in the realms, of molecular biology, hospital information systems, and application portability. (C) 2001 Elsevier Science (USA).

关键词： database heterogeneous database federated database database integration data warehouse

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An exploratory study of database integration processes

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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2008年第1期20卷 99-A46页

作者： Evermann, Joerg Victoria Univ Wellington Sch Informat Management Wellington 6000 New Zealand

One of the central problems of database integration is schema matching, that is, the identification of similar data elements in two or more databases or other data sources. Existing definitions of " similarity" in this context vary greatly. As a result, schema matching has given rise to a large number of heuristics software tools. However, the empirical understanding of this process in humans is very limited so that little guidance can be offered to the further development of heuristics and tools. This paper presents an exploratory process tracing study of the similarity judgement process in humans. The similarity judgements of 12 data integration professionals on a range of integration problems are recorded and analyzed. Implications for future empirical and applied research in this area are discussed.

关键词： human factors human information processing database integration database design modeling and management relational database

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Accommodating instance heterogeneities in database integration

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DECISION SUPPORT SYSTEMS 2004年第2期38卷 213-231页

作者： Lim, EP Chiang, RHL Nanyang Technol Univ Sch Comp Engn Ctr Adv Informat Syst Singapore 639798 Singapore Univ Cincinnati Coll Business Dept Informat Syst Cincinnati OH 45221 USA

A complete data integration solution can be viewed as an iterative process that consists of three phases, namely analysis, derivation and evolution. The entire process is similar to a software development process with the target application being the derivation rules for the integrated databases. In many cases, data integration requires several iterations of refining the local-to-global database mapping rules before a stable set of rules can be obtained. In particular, the mapping rules, as well as the data model and query model for the integrated databases have to cope with poor data quality in local databases, ongoing local database updates and instance heterogeneities. In this paper, we therefore propose a new object-oriented global data model, known as OORA, that can accommodate attribute and relationship instance heterogeneities in the integrated databases. The OORA model has been designed to allow database integrators and end users to query both the local and resolved instance values using the same query language throughout the derivation and evolution phases of database integration. Coupled with the OORA model, we also define a set of local-to-global database mapping rules that can detect new heterogeneities among databases and resolve instance heterogeneities if situations permit. (C) 2003 Elsevier B.V. All rights reserved.

关键词： federated databases database integration schema integration instance integration OORA OOQL(RA)

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Instance-based attribute identification in database integration

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VLDB JOURNAL 2003年第3期12卷 228-243页

作者： Chua, CEH Chiang, RHL Lim, EP Georgia State Univ J Mack Robinson Coll Business Atlanta GA 30303 USA Univ Cincinnati Coll Business Adm Cincinnati OH 45221 USA Nanyang Technol Univ Sch Comp Engn Singapore Singapore

Most research on attribute identification in database integration has focused on integrating attributes using schema and summary information derived from the attribute values. No research has attempted to fully explore the use of attribute values to perform attribute identification. We propose an attribute identification method that employs schema and summary instance information as well as properties of attributes derived from their instances. Unlike other attribute identification methods that match only single attributes, our method matches attribute groups for integration. Because our attribute identification method fully explores data instances, it can identify corresponding attributes to be integrated even when schema information is misleading. Three experiments were performed to validate our attribute identification method. In the first experiment, the heuristic rules derived for attribute classification were evaluated on 119 attributes from nine public domain data sets. The second was a controlled experiment validating the robustness of the proposed attribute identification method by introducing erroneous data. The third experiment evaluated the proposed attribute identification method on five data sets extracted from online music stores. The results demonstrated the viability of the proposed method.

关键词： attribute identification database integration measures of association

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A database integration Method for Small and Medium Information System

A Database Integration Method for Small and Medium Informati...

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International Conference on Computing, Information and Control (ICCIC 2011)

作者： Wang, Bing Zhejiang GongShang Univ Hangzhou 310018 Zhejiang Peoples R China

ISBN: (纸本)9783642239977

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.

关键词： database integration small and medium information system Mysql Java

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