SPARQL2XQuery 2.0: Supporting Semantic-based queries over XML data

Stavrakantonakis, Ioannis; Tsinaraki, Chrisa; Bikakis, Nikos; Gioldasis, Nektarios; Christodoulakis, Stavros

doi:10.1109/smap.2010.5706860

Cited by 12 publications

(13 citation statements)

References 10 publications

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“…We used Java 1.7 to run the implementation, with the default Java heap size. We choose two large-scale, real-world datasets as XML input: OpenAIRE 15 and DBLP 16 .…”

Section: Practical Evaluation Setupmentioning

confidence: 99%

“…Once the queries are generated, the result generation service will execute corresponding XSPARQL and visualize the output results. For query based approaches, the SPARQL2XQuery [16,2] system has the similar drawbacks as XSPARQL -knowledge of SPARQL and OWL are needed. Also, as an query answering system for users it may cause large query processing time to construct the corresponding RDF or OWL data.…”

Section: Related Workmentioning

confidence: 99%

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Streaming transformation of XML to RDF using XPath-based mappings

Huang

Lange

Auer

2015

Proceedings of the 11th International Conference on Semantic Systems

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The Extensible Markup Language (XML) has become a widely adopted data interchange format. With the rise of Linked Data published using the Resource Description Framework (RDF), a number of tools for transforming XML to RDF have been developed. Specifying XML-RDF mappings for these tools often requires skills in programming languages such as XSLT or XQuery. Moreover, these tools are rarely able to deal with large XML inputs. We introduce an XML to RDF transformation approach, which is based on map- pings comprising RDF triple templates that employ simple XPath expressions. Thanks to the restricted XPath expressions, which can be evaluated against a stream of XML data, our implementation can handle extremely large input XML files. To process the XML input efficiently, we employ XML filtering techniques and a strategy for selecting relevant XML nodes to generate RDF triples from. We show that the time complexity of our mapping algorithm is linear in the size of the XML input and also prove its practical efficiency with an evaluation on large real-world data

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“…We used Java 1.7 to run the implementation, with the default Java heap size. We choose two large-scale, real-world datasets as XML input: OpenAIRE 15 and DBLP 16 .…”

Section: Practical Evaluation Setupmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Streaming transformation of XML to RDF using XPath-based mappings

Huang

Lange

Auer

2015

Proceedings of the 11th International Conference on Semantic Systems

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“…Although this method is robust, but its disadvantage is that it is tied to a specific type of XML file that is generated by the RDBMS, besides this method does not take into account patterns described by the DTD. SPARQL2XQuery [7], [8] is another Framework that provides interoperability between the XML languages family and Semantic Web languages, this tool allows a transformation automatic and manual of SPARQL queries to XQuery queries. In addition to this conversion requests Framework also allows a mapping between XML Schema and ontologies using the tool XS2OWL [9] based on XSLT standard, which is developed by the same group.…”

Section: Related Workmentioning

confidence: 99%

Semantic mapping at the schema level of XML documents to ontologies

Bakkas

Jakjoud

Bahaj

2014

2014 International Conference on Next Generation Networks and Services (NGNS)

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XML is considered as the most widely used standard to represent, structure and share data via the Web. XML Schema and DTD ensure the content structuring of XML documents; these languages are used to determine the grammar to use in XML instances in order to describe a given domain. However, the requirements of the semantic web are beyond what is syntactic and structural, and focus increasingly to the semantics, something that cannot be represented by XML and its derivatives and which is perfectly achievable by the ontology languages such as RDF and OWL. In this paper, we propose an automatic method for generating domain ontology from XML grammars by performing a mapping at the schema level.

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“…In this section we describe the schema transformation process exploited in the first scenario supported by the SPARQL2XQuery Framework in order to express the XML Schema semantics in OWL syntax. This is accomplished by the XS2OWL Framework [20] [22], which implements the XS2OWL Transformation Model . The XS2OWL Transformation Model allows the accurate representation of the XML Schema constructs in OWL syntax without any loss of the XML Schema semantics.…”

Section: The Xs2owl Framework -An Overviewmentioning

confidence: 99%

The XML and Semantic Web Worlds: Technologies, Interoperability and Integration: A Survey of the State of the Art

Bikakis

Tsinaraki

Gioldasis

et al. 2013

Studies in Computational Intelligence

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In the context of the emergent Web of Data, a large number of organizations, institutes and companies (e.g., DBpedia, Geonames, PubMed ACM, IEEE, NASA, BBC) adopt the Linked Data practices and publish their data utilizing Semantic Web (SW) technologies. On the other hand, the dominant standard for information exchange in the Web today is XML. Many international standards (e.g., Dublin Core, MPEG-7, METS, TEI, IEEE LOM) have been expressed in XML Schema resulting to a large number of XML datasets. The SW and XML worlds and their developed infrastructures are based on different data models, semantics and query languages. Thus, it is crucial to provide interoperability and integration mechanisms to bridge the gap between the SW and XML worlds.In this chapter, we give an overview and a comparison of the technologies and the standards adopted by the XML and SW worlds. In addition, we outline the latest efforts from the W3C groups, including the latest working drafts and recommendations (e.g., OWL 2, SPARQL 1.1, XML Schema 1.1). Moreover, we present a survey of the research approaches which aim to provide interoperability and integration between the XML and SW worlds. Finally, we present the SPARQL2XQuery and XS2OWL Frameworks, which bridge the gap and create an interoperable environment between the two worlds. These Frameworks provide mechanisms for: (a) Query translation (SPARQL to XQuery translation); (b) Mapping specification and generation (Ontology to XML Schema mapping); and (c) Schema transformation (XML Schema to OWL transformation).

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SPARQL2XQuery 2.0: Supporting Semantic-based queries over XML data

Cited by 12 publications

References 10 publications

Streaming transformation of XML to RDF using XPath-based mappings

Streaming transformation of XML to RDF using XPath-based mappings

Semantic mapping at the schema level of XML documents to ontologies

The XML and Semantic Web Worlds: Technologies, Interoperability and Integration: A Survey of the State of the Art

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