DIKG2: A Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms

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Abstract

Over the last two decades, semantic-based data integration has become one of the major data challenges. The use of semantic Web standards and Linked Open Data (LOD), especially knowledge graphs (KGs), provides support to address issues related to data access and integration. In this paper, we propose the approach DIKG2 to structure semi-structured data from Web forms and stored in a RDB and to facilitate the dynamic data integration in the KGs. By exploiting a common vocabulary between the Web forms and the entities of our domain ontology, OAFE, we describe the mapping process performed between RDB schema and the ontology’s conceptual schema.

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APA

Dandan, R., & Despres, S. (2021). DIKG2: A Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12798 LNAI, pp. 255–260). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-79457-6_22

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