Mokhtaria Hacherouf
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Mokhtaria Hacherouf has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Christophe Cruz
Université Bourgogne Europe
2 shared publications Safia Nait Bahloul
Université d’Oran1, Ahmed Ben Bella, Laboratoire LITIO, BP 1524, El-M’Naouer, 31000 Oran, Algeria
2 shared publicationsSafia Nait-Bahloul
Université d’Oran 1, Ahmed Ben Bella
1 shared publication
Latest Publications
- 25 January 2018
- Published by Springer Nature in Software and Systems Modeling
- Vol. 18 (3) , 2093-2110
Transforming XML schemas into OWL ontologies using formal concept analysis
- 25 January 2018
- Published by Springer Nature in Software and Systems Modeling
- Vol. 18 (3) , 2093-2110
Transforming XML schemas into OWL ontologies using formal concept analysis
- 10 February 2015
- Published by SAGE Publications in Journal of Information Science
- Vol. 41 (2) , 242-259
Transforming XML documents to OWL ontologies: A survey
The aims of XML data conversion to ontologies are the indexing, integration and enrichment of existing ontologies with knowledge acquired from these sources. The contribution of this paper consists in providing a classification of the approaches used for the conversion of XML documents into OWL ontologies. This classification underlines the usage profile of each conversion method, providing a clear description of the advantages and drawbacks belonging to each method. Hence, this paper focuses on two main processes, which are ontology enrichment and ontology population using XML data. Ontology enrichment is related to the schema of the ontology (TBox), and ontology population is related to an individual (Abox). In addition, the ontologies described in these methods are based on formal languages of the Semantic Web such as OWL (Ontology Web Language) or RDF (Resource Description Framework). These languages are formal because the semantics are formally defined and take advantage of the Description Logics. In contrast, XML data sources are without formal semantics. The XML language is used to store, export and share data between processes able to process the specific data structure. However, even if the semantics is not explicitly expressed, data structure contains the universe of discourse by using a qualified vocabulary regarding a consensual agreement. In order to formalize this semantics, the OWL language provides rich logical constraints. Therefore, these logical constraints are evolved in the transformation of XML documents into OWL documents, allowing the enrichment and the population of the target ontology. To design such a transformation, the current research field establishes connections between OWL constructs (classes, predicates, simple or complex data types, etc.) and XML constructs (elements, attributes, element lists, etc.). Two different approaches for the transformation process are exposed. The instance approaches are based on XML documents without any schema associated. The validation approaches are based on the XML schema and document validated by the associated schema. The second approaches benefit from the schema definition to provide automated transformations with logic constraints. Both approaches are discussed in the text.
- 10 February 2015
- Published by SAGE Publications in Journal of Information Science
- Vol. 41 (2) , 242-259
Transforming XML documents to OWL ontologies: A survey
The aims of XML data conversion to ontologies are the indexing, integration and enrichment of existing ontologies with knowledge acquired from these sources. The contribution of this paper consists in providing a classification of the approaches used for the conversion of XML documents into OWL ontologies. This classification underlines the usage profile of each conversion method, providing a clear description of the advantages and drawbacks belonging to each method. Hence, this paper focuses on two main processes, which are ontology enrichment and ontology population using XML data. Ontology enrichment is related to the schema of the ontology (TBox), and ontology population is related to an individual (Abox). In addition, the ontologies described in these methods are based on formal languages of the Semantic Web such as OWL (Ontology Web Language) or RDF (Resource Description Framework). These languages are formal because the semantics are formally defined and take advantage of the Description Logics. In contrast, XML data sources are without formal semantics. The XML language is used to store, export and share data between processes able to process the specific data structure. However, even if the semantics is not explicitly expressed, data structure contains the universe of discourse by using a qualified vocabulary regarding a consensual agreement. In order to formalize this semantics, the OWL language provides rich logical constraints. Therefore, these logical constraints are evolved in the transformation of XML documents into OWL documents, allowing the enrichment and the population of the target ontology. To design such a transformation, the current research field establishes connections between OWL constructs (classes, predicates, simple or complex data types, etc.) and XML constructs (elements, attributes, element lists, etc.). Two different approaches for the transformation process are exposed. The instance approaches are based on XML documents without any schema associated. The validation approaches are based on the XML schema and document validated by the associated schema. The second approaches benefit from the schema definition to provide automated transformations with logic constraints. Both approaches are discussed in the text.
- Open Access
- 1 January 2015
- Published by Elsevier in Procedia Computer Science
- Vol. 62, 457-466
DTD2OWL2: A New Approach for the Transformation of the DTD to OWL
- 1 January 2015
- Published by Elsevier in Procedia Computer Science
- Vol. 62, 457-466
Open AccessDTD2OWL2: A New Approach for the Transformation of the DTD to OWL