A Data Integration Framework for e-Commerce Product Classification

Bergamaschi, Sonia; Guerra, Francesco; Vincini, Maurizio

doi:10.1007/3-540-48005-6_29

Cited by 19 publications

(17 citation statements)

References 19 publications

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“…For example, Omelayenko and Fensel (2001) attempted to integrate xCBL and cXML through a layered approach on a given ontology. Bergamaschi et al (2002) tried to integrate UNSPSC, ecl@ss and other standards by providing a common thesaurus. However, an open issue for these standard integration approaches is that some concepts in two standards are larger than their concept overlapping and are not mappable.…”

Section: Semantic Integration Approachesmentioning

confidence: 99%

Collaboration role in semantic integration for electronic marketplace

Guo

2010

IJEB

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Semantic integration is important in constructing electronic marketplaces (e-marketplaces). Although many previous researches have been done, the task of semantic integration and the mechanism of maintaining semantic consistency are still not well known. This paper proposes a Collaboration-Role-Based Semantic Integration Mechanism (CRB-SIM). It promotes collaboration as a key means of resolving semantic conflicts in concepts creation and editing, via a set of service-oriented collaboration roles. This proposal has contributed to the semantic integration research a novel approach with the features of the role-based and service-oriented semantic consistency maintenance of heterogeneous concepts. The applicability of proposed mechanism is exemplified by two application prototypes.

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Section: Semantic Integration Approachesmentioning

confidence: 99%

Collaboration role in semantic integration for electronic marketplace

Guo

2010

IJEB

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“…Integrating tree-structured data is also a popular issue in e-commerce applications [9,16]. Facet classification hierarchies [1,2] also exploit sets of semantically related categories.…”

Section: Related Workmentioning

confidence: 99%

Querying Tree-Structured Data Using Dimension Graphs

Theodoratos

Dalamagas

2005

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. Tree structures provide a popular means to organize the information on the Web. Taxonomies of thematic categories, concept hierarchies, e-commerce product catalogs are examples of such structures. Querying multiple data sources that use tree structures to organize their data is a challenging issue due to name mismatches, structural differences and structural inconsistencies that occur in such structures, even for a single knowledge domain. In this paper, we present a method to query tree-structured data. We introduce dimensions which are sets of semantically related nodes in tree structures. Based on dimensions, we suggest dimension graphs. Dimension graphs can be automatically extracted from trees and abstract their structural information. They are semantically rich constructs that provide query guidance to pose and evaluate queries on trees. We design a query language to query treestructured data. A key feature of this language is that queries are not restricted by the structure of the trees. We present a technique for evaluating queries and we provide necessary and sufficient conditions for checking query unsatisfiability. We also show how dimension graphs can be used to query multiple trees in the presence of structural differences and inconsistencies.

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“…A system to integrate product classification schemes is presented in [10]. Using the source descriptions, the system generates a glocal schema based on inter-schema and intra-schema relationships determined manually.…”

Section: Related Workmentioning

confidence: 99%

Semantic Integration of Tree-Structured Data Using Dimension Graphs

Dalamagas

Theodoratos

Koufopoulos

et al. 2005

Lecture Notes in Computer Science

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Abstract. Nowadays, huge volumes of Web data are organized or exported in tree-structured form. Popular examples of such structures are product catalogs of e-market stores, taxonomies of thematic categories, XML data encodings, etc. Even for a single knowledge domain, name mismatches, structural differences and structural inconsistencies raise difficulties when many data sources need to be integrated and queried in a uniform way. In this paper, we present a method for semantically integrating tree-structured data. We introduce dimensions which are sets of semantically related nodes in tree structures. Based on dimensions, we suggest dimension graphs. Dimension graphs can be automatically extracted from trees and abstract their structural information. They are semantically rich constructs that provide query guidance to pose queries, assist query evaluation and support integration of tree-structured data. We design a query language to query tree-structured data. The language allows full, partial or no specification of the structure of the underlying tree-structured data used to issue queries. Thus, queries in our language are not restricted by the structure of the trees. We provide necessary and sufficient conditions for checking query satisfiability and we present a technique for evaluating satisfiable queries. Finally, we conducted several experiments to compare our method for integrating tree-structured data with one that does not exploit dimension graphs. Our results demonstrate the superiority of our approach.

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A Data Integration Framework for e-Commerce Product Classification

Cited by 19 publications

References 19 publications

Collaboration role in semantic integration for electronic marketplace

Collaboration role in semantic integration for electronic marketplace

Querying Tree-Structured Data Using Dimension Graphs

Semantic Integration of Tree-Structured Data Using Dimension Graphs

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