Using a layered approach for interoperability on the semantic Web

Cruz, Isabel F.; Xiao, Huiyong

doi:10.1109/wise.2003.1254485

Cited by 21 publications

(23 citation statements)

References 14 publications

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“…All source schemas are directly related to a shared global ontology that provides a uniform interface to the user [9]. However, this approach requires that all sources have nearly the same view on a domain, with the same level of granularity.…”

Section: Ontologies For Data Integrationmentioning

confidence: 99%

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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: Ontologies For Data Integrationmentioning

confidence: 99%

“…New sources can be easily added with no need for modifying existing mappings. Our layered framework [9] is an example of this approach.…”

Section: Hybrid Ontology Approachmentioning

confidence: 99%

Semantic Integration of Collection Description

Lourdi¹,

Papatheodorou²,

Doerr³

2009

D-Lib Magazine

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“…It can also be the case that two data sources communicate in a peer-to-peer (P2P) way either through the global schema or directly. Data exchange or query processing may occur in this case, which requires data translation or query rewriting when heterogeneities are present between the communicating sources [16,23,27,30,32].…”

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%

“…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). Our previous work involved a layered approach for the interoperation of heterogeneous web sources, but the nesting structure associated with XML was lost in the mapping from XML data to RDF data [16]. Direct Translation Klein proposes a procedure to transform XML data directly into RDF data by annotating the XML documents via external RDFS specifications [22].…”

Section: Semantic Integrationmentioning

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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Peer-to-Peer Semantic Integration of XML and RDF Data Sources

Cruz

Xiao

Hsu

2005

Lecture Notes in Computer Science

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Abstract. Peer-to-Peer (P2P) data management systems combine traditional schema-based integration techniques with the P2P infrastructure. In this paper, we propose a P2P data management framework named PEPSINT that semantically integrates heterogeneous XML and RDF data sources, using a hybrid architecture and a global-as-view approach. Our focus is on the query processing techniques over heterogeneous data. Queries in PEPSINT are expressed in XQuery and in RDQL. We consider two types of queries, depending on whether the query is first posed on the super peer or on one of the peers.

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Using a layered approach for interoperability on the semantic Web

Cited by 21 publications

References 14 publications

Semantic Integration of Collection Description

Semantic Integration of Collection Description

Integrating and Exchanging XML Data Using Ontologies

Peer-to-Peer Semantic Integration of XML and RDF Data Sources

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