Enabling Semantic Mediation for Business Applications: XML-RDF, RDF-XML and XSD-RDFS transformations

Miletić, Igor; Vujasinovic, Marko; Ivezic, Nenad; Marjanovic, Zoran

doi:10.1007/978-1-84628-858-6_53

Cited by 10 publications

(10 citation statements)

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“…In [27], authors describe their experience on developing this transformation for business to business industry in the case of the Semantic Mediation tools. An XML Schema to RDF Schema transformation is performed as part of the requirement of the Semantic Mediation tool.…”

Section: From Xml To Semantic Web Formatsmentioning

confidence: 99%

“…As many documents and data are persisted in XML, the need for migration and interoperability to more 1570-0844/0-1900/$35.00 c 0 -IOS Press and the authors. All rights reserved flexible data is nowadays more pressing than ever, many authors have proposed conversions from XML to RDF [27,12,2,6], with the goal of transforming XML data to Semantic Web formats.…”

Section: Introductionmentioning

confidence: 99%

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XMLSchema2ShEx: Converting XML validation to RDF validation

Mikulionienė

2020

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RDF validation is a field where the Semantic Web community is currently focusing attention. Besides, there is a recent trend to migrate data from different sources to semantic web formats. Therefore, in order to facilitate this transformation, we propose: a set of mappings that can be used to convert from XML Schema to Shape Expressions (ShEx), a prototype that implements a subset of the proposed mappings, an example application to obtain a ShEx schema from an XML Schema and a discussion on conversion implications of non-deterministic schemata. We demonstrate that an XML and its corresponding XML Schema are still valid when converted to their RDF and ShEx counterparts. This conversion, along with the development of other format mappings, could drive to an improvement of data interoperability due to the reduction of the technological gap.

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Section: From Xml To Semantic Web Formatsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

XMLSchema2ShEx: Converting XML validation to RDF validation

Mikulionienė

2020

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“…In the case of ontology models such as OWL and RDF, some authors have used semantic query languages, such as SPARQL [12]; in contrast, LINQ to XML have been used [13] when exchange formats for plant data are used (IEC 62424 / ISO 15926). Methods to convert XML to RDF have been also investigated in the past [14]. Furthermore, tools are being developed for the web technologies as an attempt to enable the user to browse and navigate large and complex ontologies (millions of terms and multiple relationships).…”

Section: Transforming and Visualising Topology Modelsmentioning

confidence: 99%

Integration, navigation and exploration of plant topology networks using the property-graph model

Romero

Thornhill

2014

2014 IEEE/SICE International Symposium on System Integration

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Abstract-Understanding the process topology is essential for many process systems engineering activities. Previous works in this area have explored the extraction of connectivity and causality from different sources by using structural and process data. A few works, however, have focused on how to integrate, store, and visualise connectivity models, which are becoming available in the literature. This paper proposes a method for integration, navigation and exploration of topology models in an efficient way, which can be applied to the study of connectivity and causality in chemical processes. I. INTRODUCTIONDisturbances in continuous processes commonly travel along the product stream through different propagation paths affecting the process performance. Abnormalities that propagate plantwide include oscillations caused by sticking valves, disturbances produced by interacting controllers, instabilities in the systems such as slugging flows, and vibrations caused by interacting units (for example in a turbine-generator train).Since large-scale chemical facilities are highly integrated systems containing recycle flows and utility systems, units are not independent anymore. Connectivity and causality have been concepts proposed for describing dependencies between units and variables [1]. Several authors have been applying new methods that make it possible to extract process topology describing causality relationships from process knowledge and process data. The knowledge from process topology has many applications, for instance in the field of plantwide analysis, where the use of process connectivity can enhance the isolation and diagnosis of the root-cause of plantwide disturbances [2], [3]. There is also evidence of use of topology in other areas such as alarm rationalization [4], risk assessment [5] and control structure design [6]. It seems now that mining the data and knowledge about topology (connectivity and causality) is a largely solved problem. What becomes challenging now is to integrate all these insights into a single topology model and make it possible for engineers to use it for exploration, navigation and more effective visualisation.This work is supported Marie Curie FP7 project ENERGY-SMARTOPS, Contract No: PITN-GA-2010-264940.David Dorantes Romero is with ABB Technology and Innovation, Norway, Ole Deviks vei 10, david.romero@no.abb.com. He is also part-time PhD student at the Department of Chemical Engineering at Imperial College.Nina F. Thornhill is with the Centre for Process Systems engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K.The main contribution of this paper is the proposal of a method to integrate process connectivity and causality information into a plant topology network, making use of interaction and techniques to facilitate its navigation and exploration. Examples will also be given based on a novel prototype called Topoviz™, currently under development. II. STATE OF THE ARTInformation about the topology can be captured from modelbased m...

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“…The Ontology definition metamodel specification [12] offers a set of metamodels and mappings for translating between the UML metamodel and ontology languages such as RDF Schema and OWL. The authors in [15] present an approach for automatically generating RDF Schema from XML Schema specification. Other approaches for language translation have been proposed, some of them are analyzed in [9].…”

Section: Related Workmentioning

confidence: 99%

“…Table 1 shows the basic concepts and properties for the three different languages. Concerning the languages based on a taxonomy classification (e.g., XML Schema), we use the idea proposed in [15] to capture the semantics of implicit properties. So, the name of property node is the combination of parent and child nodes.…”

Section: Schema Graph Representationmentioning

confidence: 99%

MuMIe

Amir

Benabbas

Bilasco

et al. 2011

Proceedings of the 1st ACM International Conference on Multimedia Retrieval

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The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for achieving metadata interoperability have been developed. Most of these techniques focus on matching schemas defined by using one schema description language. The few existing matching systems that support schemas from different languages present some limitations. In this paper we present a new integration system supporting schemas from different description languages. Moreover, the proposed matching process makes use of several types of information (linguistic, semantic and structural) in a manner that increases the matching accuracy.

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Enabling Semantic Mediation for Business Applications: XML-RDF, RDF-XML and XSD-RDFS transformations

Cited by 10 publications

References 1 publication

XMLSchema2ShEx: Converting XML validation to RDF validation

XMLSchema2ShEx: Converting XML validation to RDF validation

Integration, navigation and exploration of plant topology networks using the property-graph model

MuMIe

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