Querying Heterogeneous XML Sources through a Conceptual Schema

Camillo, Sandro Daniel; Heuser, Carlos A.; Mello, Ronaldo dos Santos

doi:10.1007/978-3-540-39648-2_17

Cited by 25 publications

(35 citation statements)

References 9 publications

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“…It is relevant to a number of applications including enterprise information integration, medical information management, geographical information systems, and E-Commerce applications. Based on the architecture, there are two different kinds of systems: central data integration systems [1,3,7,10,18,22] and peer-to-peer data integration systems [2,4,5,11,16,19]. A central data integration system usually has a global schema, which provides the user with a uniform interface to access information stored in the data sources.…”

Section: Data Integrationmentioning

confidence: 99%

Semantic Integration of Collection Description

Lourdi¹,

Papatheodorou²,

Doerr³

2009

D-Lib Magazine

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In this paper, we discuss the use of ontologies for data integration. We consider two different settings depending on the system architecture: central and peer-to-peer data integration. Within those settings, we discuss five different cases studies that illustrate the use of ontologies in metadata representation, in global conceptualization, in high-level querying, in declarative mediation, and in mapping support. Each case study is described in detail and accompanied by examples.

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Section: Data Integrationmentioning

confidence: 99%

Semantic Integration of Collection Description

Lourdi¹,

Papatheodorou²,

Doerr³

2009

D-Lib Magazine

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“…Data integration systems are usually characterized by an architecture based on a global schema, which provides a reconciled and integrated view of the underlying sources. These systems are called central data integration systems, and a large number of such systems have been proposed [3,5,11,14,24,27,30,34,36].…”

Section: Problem Descriptionmentioning

confidence: 99%

“…RDF Schema (RDFS) [26], DAML+OIL, and OWL are examples of languages used to create ontologies, which represent a shared, formal conceptualization of the domain of knowledge [17]. There are currently many attempts to use conceptual schemas (or ontologies) [3,4,16] or conceptual queries [14,15] to overcome the problem of structural heterogeneities among XML sources. In this paper, we propose an ontology-based approach for the integration of XML sources.…”

Section: Semantic Integration Of Xml Documentsmentioning

confidence: 99%

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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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“…Query evaluation is based on mapping rules between elements of the global DTD and their representation in local catalogs. A language for querying XML sources is presented in [12]. Queries are issued on a global conceptual schema and translated to local data sources using a pre-defined set of mappings.…”

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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Querying Heterogeneous XML Sources through a Conceptual Schema

Cited by 25 publications

References 9 publications

Semantic Integration of Collection Description

Semantic Integration of Collection Description

Integrating and Exchanging XML Data Using Ontologies

Semantic Integration of Tree-Structured Data Using Dimension Graphs

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