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Abstract. Relations mined from texts and structured information from databases have been mapped to concepts defined in biomedical ontologies and.
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Relations mined from texts and structured information from databases have been mapped to concepts defined in biomedical ontologies and to a predicate ...
Semantic data integration is the process of combining data from disparate sources and consolidating it into meaningful and valuable information.
A semantic integration through ontologies can provide common ground for direct comparison of findings and methods.
Semantic integration focuses on discovering, repre- senting, and manipulating correspondences be- tween entities in disparate data sources. The topic.
Apr 26, 2024 · Indeed, semantic data integration is the process of combining and consolidating disparate data into meaningful and valuable information by ...
Apr 20, 2020 · The semantic Web ontology model is experimented and discussed in the article, which is based on the query execution model.
In this paper we present a methodology that, using ontology, and thus the intrinsicsemantic of each data of the Information System, allow to create a global ...
Mar 1, 2005 · In this article, we first review database applications that require semantic integration and discuss the difficulties underlying the integration process.
Oct 6, 2021 · We used Semantic Web technology RDF to integrate COVID-19 knowledge mined from literature by iTextMine, PubTator and SemRep with relevant biological databases.