Semantic mapping at the schema level of XML documents to ontologies

Bakkas, Jamal; Jakjoud, Widad; Bahaj, Mohamed

doi:10.1109/ngns.2014.6990247

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Methods of ontology population with XML data are also employed in XML-document translation into OWL and RDF ontologies [13][14][15][16]. All of the existing approaches can be divided into two groups [17]: the first group encompasses 'instance approaches' that permit working with XML-documents without XML-schema (JXML2OWL, XMLMaster).…”

Section: Data Sources For Ontology Populationmentioning

confidence: 99%

A method of semi-automated ontology population from multiple semi-structured data sources

Leshcheva

Begler

2020

Journal of Information Science

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Organisations use data in different formats: Word documents, Excel spreadsheets, databases, HTML pages and so on. It is not easy to make decisions with such data due to the lack of integration between the different sources and built-in decision-making rules. Decisions can be reached with knowledge bases, which, unlike databases, make it possible to store not only objects, facts and attributes but also more sophisticated patterns such as rules and axioms. The article proposes an ontology-based method for knowledge base creation that allows for the simultaneous integration of semi-structured data sources and extendibility while remaining context independent. At the initial steps of the method, data specification should be performed with the Data Sources Ontology developed by the authors. This ontology provides data structure description that forms supportive knowledge graph. The graph’s schema should be mapped with the domain ontology to be populated. Finally, the data are inserted into the domain ontology according to the mapping rules. Manual input is needed during data specification and data-to-ontology schema mapping.

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