Semantic integration of heterogeneous information sources

Bergamaschi, Sonia; Castano, Silvana; Vincini, Maurizio; Beneventano, Domenico

doi:10.1016/s0169-023x(00)00047-1

Cited by 223 publications

(91 citation statements)

References 23 publications

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“…[50]), the use of global schema (e.g. [25]), and conceptual modelling for information integration based on description logics [9,8,23,51,2]. These differ from our approach in that they do not seek an automated approach that uses domain knowledge for identifying and acting on inconsistencies.…”

Section: Discussionmentioning

confidence: 99%

Fusion rules for merging uncertain information

Hunter

Liu

2006

Information Fusion

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In previous papers, we have presented a logic-based framework based on fusion rules for merging structured news reports. Structured news reports are XML documents, where the textentries are restricted to individual words or simple phrases, such as names and domain-specific terminology, and numbers and units. We assume structured news reports do not require natural language processing. Fusion rules are a form of scripting language that define how structured news reports should be merged. The antecedent of a fusion rule is a call to investigate the information in the structured news reports and the background knowledge, and the consequent of a fusion rule is a formula specifying an action to be undertaken to form a merged report. It is expected that a set of fusion rules is defined for any given application. In this paper we extend the approach to handling probability values, degrees of beliefs, or necessity measures associated with textentries in the news reports. We present the formal definition for each of these types of uncertainty and explain how they can be handled using fusion rules. We also discuss the methods of detecting inconsistencies among sources.

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Section: Discussionmentioning

confidence: 99%

Fusion rules for merging uncertain information

Hunter

Liu

2006

Information Fusion

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“…Within the MOMIS (Mediator envirOnment for Multiple Information Sources) project [17,6,16], we ourself have experienced the design and implementation of an object-oriented client-server integration system, that follows the architecture above presented. The MOMIS system has obviously been conceived to provide an integrated access to heterogeneous information stored in traditional databases (e.g., relational, object oriented) or file systems, as well as in semistructured sources (XML files in particular).…”

Section: The Momis Projectmentioning

confidence: 99%

“…MOMIS [8,16] (Mediator EnvirOnment for Multiple Information Sources) is a system that has been conceived as a pool of tools to provide an integrated access to heterogeneous information stored in traditional databases (for example relational, object oriented databases) or in file systems, as well as in semi-structured data sources (XML-file). MOMIS focuses on capturing and reasoning about semantic aspects of schema descriptions of information sources for supporting integration and query optimization.…”

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confidence: 99%

MIKS: An Agent Framework Supporting Information Access and Integration

Beneventano¹,

Bergamaschi²,

Gelati³

et al. 2003

Intelligent Information Agents

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Abstract. Providing an integrated access to multiple heterogeneous sources is a challenging issue in global information systems for cooperation and interoperability. In the past, companies have equipped themselves with data storing systems building up informative systems containing data that are related one another, but which are often redundant, not homogeneous and not always semantically consistent. Moreover, to meet the requirements of global, Internet-based information systems, it is important that the tools developed for supporting these activities are semi-automatic and scalable as much as possible. To face the issues related to scalability in the large-scale, in this paper we propose the exploitation of mobile agents in the information integration area, and, in particular, their integration in the MOMIS infrastructure. MOMIS (Mediator EnvirOnment for Multiple Information Sources) is a system that has been conceived as a pool of tools to provide an integrated access to heterogeneous information stored in traditional databases (for example relational, object oriented databases) or in file systems, as well as in semi-structured data sources (XML-file). This proposal has been implemented within the MIKS (Mediator agent for Integration of Knowledge Sources) system and it is completely described in this paper.

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“…IBIS adopts innovative and state-of-the-art solutions to deal with all aspects of a complex data integration environment, including query answering under integrity constraints, limitations on source access, and source wrapping. Despite there are several mediation systems for data integration (see e.g., [7,6,11,18,22,21,12,9,1]), IBIS is the first system that fully exploits all available information (including integrity constraints) for query answering. Thus, to the best of our knowledge, IBIS is the first system actually devoted to semantic data integration.…”

Section: Introductionmentioning

confidence: 99%

“…In the GAV approach, a view over the sources is associated to each element of the global schema, describing how to populate such an element using the data at the sources. Most data integration systems adopt the GAV approach, e.g., TSIMMIS [7], Garlic [6], COIN [9], Squirrel [23,22], and MOMIS [1].…”

Section: Introductionmentioning

confidence: 99%

IBIS: Semantic Data Integration at Work

Calì

Calvanese

Giacomo

et al. 2003

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. In this paper we present IBIS (Internet-Based Information System), a system for the semantic integration of heterogeneous data sources, which adopts innovative and state-of-the-art solutions to deal with all aspects of a complex data-integration environment, including query answering under integrity constraints and limitations on source access. IBIS is based on the global-as-view approach, using a relational mediated schema to query the data at the sources. Sources are wrapped so as to provide a relational view on them. A key issue is that the system allows the specification of integrity constraints (modeling constraints in the domain of interest) in the global schema. Since sources are autonomous, the extracted data in general do not satisfy the constraints. IBIS adapts and integrates the data extracted from the sources making use of the constraints in the global schema, so as to answer queries at best with the information available. IBIS deals with limitations in accessing data sources, and exploits techniques developed for querying sources with access limitations in order to retrieve the maximum set of answers. In particular, it may use integrity constraints available on the sources to improve the efficiency of the extraction process.

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Semantic integration of heterogeneous information sources

Cited by 223 publications

References 23 publications

Fusion rules for merging uncertain information

Fusion rules for merging uncertain information

MIKS: An Agent Framework Supporting Information Access and Integration

IBIS: Semantic Data Integration at Work

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