Transforming XML Schema to OWL Using Patterns

Bedini, Ivan; Matheus, Christopher J.; Patel‐Schneider, Peter F.; Boran, Aidan; Nguyen, Benjamin

doi:10.1109/icsc.2011.77

Cited by 36 publications

(36 citation statements)

References 6 publications

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“…This procedure relies on a set of transformation rules able to generate a coherent OWL description from XSD files. Similarly to [14], from a modelling perspective, no specific logic representation has been designed, but XSD constructs are interpreted to obtain the maximum logical expression derivable from that formalism.…”

Section: B Owl Ontology Generationmentioning

confidence: 99%

“…In fact, all the different XSD elements are forcedly converted in one of the case expected by the template. In [14], the framework called Janus is presented, whose aim is to generate an ontology from a large source corpus of XML schemas. It relies on an advanced logical representation of XSD components and allows mining XSD sources to build semantically correct ontologies with considerable expressivity, by offering a set of 40 complex transformation patterns formalised using direct OWL syntax in Turtle format.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Starting from these considerations, in the past, several strategies [9,[11][12][13][14][15][16][17] have been proposed about how to properly match the tags defined into an XML schema with the names of concepts and properties of an OWL ontology associated with it. It is important to note that, since OWL is characterized by a stronger expressivity and interpretability than other languages such as RDF, this analysis about the state of the art is focused on approaches for generating only OWL ontologies.…”

Section: Background and Related Workmentioning

confidence: 99%

See 2 more Smart Citations

An Automatic Method for Deriving OWL Ontologies from XML Documents

Minutolo¹,

Esposito

Ciampi

et al. 2014

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

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In the last decade, the field of Big Data Analytics has become increasingly important in both the academic and the business communities. Typically, data are mostly structured, collected by different actors through various heterogeneous and distributed information sources, and stored and managed often directly in XML. In order to enable large volume of data to be described in such a way that their meaning can be exploited by machines and, thus, semantic queries and automatic inferential procedures can be enabled, this paper presents an automatic method to derive OWL ontologies from XML schemas. The main contribution of this method relies on the possibility of producing a target ontology starting from multiple XML schemas, by discriminating between domain and cross-domain entities and, contextually, simplifying the overall structure of the final ontology generated, i.e. by eliminating not-used cross-domain entities. This method has been applied to a concrete application case in the healthcare domain, with the goal of generating an ontological model from the XML schemas implementing the HL7 Version 3 Clinical Document Architecture Release 2.

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Section: B Owl Ontology Generationmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Automatic Method for Deriving OWL Ontologies from XML Documents

Minutolo¹,

Esposito

Ciampi

et al. 2014

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

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show abstract

“…Thus OWL DL should be chosen as the ontology description language (omit DL below). OWL describes the concepts and BIS outputs their relations in ontology mainly through the following elements [14]:…”

Section: A Ontology Description Languagementioning

confidence: 99%

OWL-based ontology construction method for battlefield information service

Tao

Zhao

Wei

et al. 2012

Proceedings of 2012 2nd International Conference on Computer Science and Network Technology

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With the constant development of IT, on-demand battlefield information sharing becomes the urgent need for military to achieve information superiority and win network centric warfare. In this paper, a method is proposed for building ontology which can support Battlefield Information Service (BIS). Based on the requirement analysis of BIS, Battlefield Information Ontology (BIO) is constructed in OWL, including Top-Frame Ontology (TFO) and Domain-Branch Ontology (DBO). The value assignment properties are added to solve the assignment problem of concepts with different data types. And a new problem, the integrated reasoning of preconditions and outputs, is raised in this paper. A concept may be equal to another one under some precondition, which cannot be discovered in classical way of matching preconditions and the outputs separately. To express the above equivalent relation in ontology, a transformation model is proposed to make OWL have the ability to describe high-order relations, which only allows first-order relations formerly. An application example is given to show how the ontology supports semantic-based BIS publishing, query and match.

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“…This is also the case for the various tools and software agents dedicated to the recovery and the exploitation of RDF graphs. Several works have been developed to narrow the gap between XML/RDB and OWL ontology [1]- [4]. However, the vast majority of these data are still stored in relational databases (RDB).…”

Section: Introductionmentioning

confidence: 99%