OWL Ontologies
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OWL Ontologies
To define an ontolgy in view of integrating enterprise information
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Ontology-based data integration - Wikipedia, the free encyclopedia

Ontology based Data Integration involves the use of ontology(s) to effectively combine data or information from multiple heterogeneous sources.[1] It is one of the multiple data integration approaches and may be classified as Local-As-View (LAV).[2] The effectiveness of ontology based data integration is closely tied to the consistency and expressivity of the ontology used in the integration process.

Data from multiple sources are characterized by multiple types of heterogeneity. The following hierarchy is often used [3][4]:

Ontologies, as formal models of representation with explicitly defined concepts and named relationships linking them, are used to address the issue of semantic heterogeneity in data sources. In domains like bioinformatics and biomedicine, the rapid development, adoption and public availability of ontologies [1] has made it possible for the data integration community to leverage them for semantic integration of data and information.

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The Wikipedia page explains in what sense an onlylogy may take a role in candidate solutions to enterprise information integration 

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OWL Ontologies: When Machine Readable is Not Good Enough

OWL Ontologies:  When Machine Readable is Not Good Enough | OWL Ontologies | Scoop.it
Machine readable, standard formats are revolutionizing the transfer and interoperability of data within the semantic Web.  This trend is all to the good, the implications of which are only beginning to be seen.
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Issues with this concept

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