Towards enterprise interoperability service utilities

Elvesæter, Brian; Taglino, Francesco; Grosso, Enrico Del; Benguria, Gorka; Capellini, A.

doi:10.1109/edocw.2008.62

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Several relevant initiatives have been undertaken and are ongoing today worldwide. Among them, schema matching is an important primitive to tackle strategic challenges such as Interoperability Service Utility [17], Web Technologies for Enterprise Interoperability [31], KnowledgeOriented Collaboration [35], and Science Base for Enterprise Interoperability [10]. The roles of schema matching in enterprise systems are summarized in [47].…”

Section: Schema Matching -Research and Applicationsmentioning

confidence: 99%

Collaborative Schema Matching Reconciliation

Nguyen

Luong

Miklós

et al. 2013

On the Move to Meaningful Internet Systems: OTM 2013 Conferences

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Abstract. Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purpose. Although several schema matching tools have been developed, their results are often incomplete or erroneous. To obtain correct attribute correspondences, in practice, human experts edit the mapping results and fix the mapping problems. As the scale and complexity of data integration tasks have increased dramatically in recent years, the reconciliation phase becomes more and more a bottleneck. Moreover, one often needs to establish the correspondences in not only between two but a network of schemas simultaneously. In such reconciliation settings, it is desirable to involve several experts. In this paper, we propose a tool that supports a group of experts to collaboratively reconcile a set of matched correspondences. The experts might have conflicting views whether a given correspondence is correct or not. As one expects global consistency conditions in the network, the conflict resolution might require discussion and negotiation among the experts to resolve such disagreements. We have developed techniques and a tool that allow approaching this reconciliation phase in a systematic way. We represent the expert's views as arguments to enable formal reasoning on the assertions of the experts. We detect complex dependencies in their arguments, guide and present them the possible consequences of their decisions. These techniques thus can greatly help them to overlook the complex cases and work more effectively.

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Section: Schema Matching -Research and Applicationsmentioning

confidence: 99%

Collaborative Schema Matching Reconciliation

Nguyen

Luong

Miklós

et al. 2013

On the Move to Meaningful Internet Systems: OTM 2013 Conferences

View full text Add to dashboard Cite

show abstract

“…The mission of the COIN project is to study, design, develop and prototype an open, self-adaptive, generic ICT solution where Enterprise Collaboration (EC) and Enterprise Interoperability (EI) services will be an invisible, pervasive and self-adaptive knowledge and business utility at the disposal of the European networked enterprises [13].…”

Section: Introductionmentioning

confidence: 99%