On the Expressive Power of Data Integration Systems

Calì, Andrea; Calvanese, Diego; Giacomo, Giuseppe De; Lenzerini, Maurizio

doi:10.1007/3-540-45816-6_33

Cited by 42 publications

(31 citation statements)

References 15 publications

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“…Schema matching is the task of semiautomatically finding correspondences between two heterogeneous schemas. Several applications relying on schema matching have arisen and have been widely studied by the database, AI communities and more recently document engineering community [18], [7], [17].…”

Section: Schema Matchingmentioning

confidence: 99%

A Document Reuse Tool for Communities of Practice

Boukottaya

Charlier

Paquier

et al. 2010

Web-Based Learning Solutions for Communities of Practice

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Abstract.With the rise of the Internet, virtual communities of practice are gaining importance as a mean of sharing and exchanging information. In such environments, information reuse is of major concern. In this paper, we outline the importance of enriching documents with structural and semantic information in order to facilitate their reuse. We propose a framework for document reuse based on an explicit representation of the logical structure as well as links to domain ontologies. Such explicit representation facilitates the understanding of the original documents and helps considerably in automating the reuse process. Document reuse automation is based on matching techniques that consider several criteria including semantic and logical similarities.

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Section: Schema Matchingmentioning

confidence: 99%

A Document Reuse Tool for Communities of Practice

Boukottaya

Charlier

Paquier

et al. 2010

Web-Based Learning Solutions for Communities of Practice

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“…For modeling the relation between the sources and the global schema, two basic approaches have been proposed [10,25,36]. The first approach, called Globalas-View (GaV), expresses the global schema in terms of the data sources.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…The proposed approach is very similar to our approach except for the following differences. The first difference is that they use a local-as-view (LaV) approach [10] with a hypothetical global ontology that may be incomplete. The second difference is that they do not retain the XML documents' structures in their conceptual mediator so they cannot deal with the reverse query translation (from the XML sources to the mediator).…”

Section: Semantic Integrationmentioning

confidence: 99%

Integrating and Exchanging XML Data Using Ontologies

Xiao

Cruz

2006

Lecture Notes in Computer Science

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Abstract. While providing a uniform syntax and a semistructured data model, XML does not express semantics but only structure such as nesting information. In this paper, we consider the problem of data integration and interoperation of heterogeneous XML sources and use an ontology-based framework to address this problem at a semantic level. Ontologies are extensively used for domain knowledge representation, by virtue of their conceptualization of the domain, which carries explicit semantics. In our approach, the global ontology is expressed in RDF Schema (RDFS) and constructed using the global-as-view approach by merging individual local ontologies, which represent XML source schemas. We provide a formal model for the mappings between XML schemas and local RDFS ontologies and those between local ontologies and the global RDFS ontology. We consider two cases of query processing, specifically for data integration and for data interoperation. In the first case, the user poses an RDF query on the global ontology, which is answered using all the mapped XML sources. In the second case, a query is posed on a single source and then is mapped to the XML sources that are connected to that source. For each case, we discuss the problem of query containment and present an equivalent query rewriting algorithm for queries expressed in two languages: conjunctive RDQL and conjunctive XQuery.

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“…The challenge created by the increase and the diversity of information sources on the web, and by the need of organizations to interoperate database systems not only consists of the need to use tools for integrating data [3][5] [9][10] among multiple users and heterogeneous information sources, but also the necessity of these tools to overcome the limitations of current search engines by allowing not only users to ask queries more sophisticated than simple keywords, but also being able to aggregate other elements of answers from different sources to build, in the most optimized possible way by time and space research, the analytical global response to the user query. This need is becoming increasingly relevant for medical information, especially with the existence of a multitude of web sources specific to medicine areas and the trend towards computerization of patient medical records [2].…”

Section: Introductionmentioning

confidence: 99%

Optimization Query Process of Mediators Interrogation Based On Combinatorial Storage

Cherrat¹,

Ezziyyani²,

Mohammed³

2013

IJACSA

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Abstract-In the distributed environment where a query involves several heterogeneous sources, communication costs must be taken into consideration. In this paper we describe a query optimization approach using dynamic programming technique for set integrated heterogeneous sources. The objective of the optimization is to minimize the total processing time including load processing, request rewriting and communication costs, to facilitate communication inter-sites and to optimize the time of data transfer from site to others. Moreover, the ability to store data in more than one centre site provides more flexibility in terms of Security/Safety and overload of the network. In contrast to optimizers which are considered a restricted search space, the proposed optimizer searches the closed subsets of sources and independency relationship which may be deep laniary or hierarchical trees. Especially the execution of the queries can start traversal anywhere over any subset and not only from a specific source.

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On the Expressive Power of Data Integration Systems

Cited by 42 publications

References 15 publications

A Document Reuse Tool for Communities of Practice

A Document Reuse Tool for Communities of Practice

Integrating and Exchanging XML Data Using Ontologies

Optimization Query Process of Mediators Interrogation Based On Combinatorial Storage

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