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Proceedings ArticleDOI

Semantic enterprise service bus for cultural heritage

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TLDR
The data integration model proposed in this paper aims to exploit the method of "schema matching", using ontology-based data integration techniques by automating the integration process.
Abstract
The problem of data flooding is becoming more and more important, and it is necessary to find a way to access relevant information and to collect information and data from different data sources. In the field of cultural heritage, users need to be able to find and extract information from databases of specific contexts (paintings, inscriptions, churches, old coins, etc.). The problem is that each of these databases has a different data model. A project created to solve this problem is Europeana, which aims to bring together data from different providers (museums, libraries or other entities) in a single dataset. This paper aims to propose an architecture for a heterogeneous data sources system for the integration of structured/semi-structured data sources, enabling the information content to be more accessible and searchable for users. The data integration model proposed in this paper aims to exploit the method of "schema matching", using ontology-based data integration techniques by automating the integration process.

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Citations
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Journal ArticleDOI

Research Trends in Enterprise Service Bus (ESB) Applications: A Systematic Mapping Study

TL;DR: A systematic mapping study (SMS) is implemented to categorize the selected papers into the following classification: contribution type, ESB applications, research type and their approaches and the findings are discussed and researchers were provided with suggestions on possible directions for future research.
Journal ArticleDOI

Semantic Approaches for the Use of Cultural Data

TL;DR: An inventory and content management system and the conceptual and architectural choices that were made to allow its evolution, standards' compliance and multi-purpose use as a cultural data provider are described.
References
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Journal ArticleDOI

A survey of approaches to automatic schema matching

TL;DR: A taxonomy is presented that distinguishes between schema-level and instance-level, element- level and structure- level, and language-based and constraint-based matchers and is intended to be useful when comparing different approaches to schema matching, when developing a new match algorithm, and when implementing a schema matching component.
Proceedings ArticleDOI

Data integration: a theoretical perspective

TL;DR: The tutorial is focused on some of the theoretical issues that are relevant for data integration: modeling a data integration application, processing queries in data integration, dealing with inconsistent data sources, and reasoning on queries.
Journal ArticleDOI

Answering queries using views: A survey

TL;DR: The state of the art on the problem of answering queries using views is surveyed, the algorithms proposed to solve it are described, and the disparate works into a coherent framework are synthesized.
Proceedings Article

Ontology-Based Integration of Information — A Survey of Existing Approaches

TL;DR: The state of the art in ontology-based information integration is summarized and the use on ontologies for the integration of heterogeneous information sources is reviewed.
Journal ArticleDOI

Information integration using logical views

TL;DR: The formal basis of information-integration techniques, which are closely related to containment algorithms for conjunctive queries and/or Datalog programs, are reviewed.
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