The Bounties of Semantic Data Integration for the Enterprise
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Semantic data integration allows enterprises to connect heterogeneous data sources through a common language. This creates a unified 360-degree view of enterprise data and facilitates knowledge management and use. Semantic integration aims to enrich existing data with external knowledge and provide a single access point for enterprise assets. It addresses challenges of accessing and storing data from various internal resources by building a well-structured integrated whole to enhance business processes.
The Bounties of Semantic Data Integration for the Enterprise
- 1. The Bounties of Semantic Data Integration for the Enterprise
- 2. 1 Semantic data integration is about building and using the right tools to make your data speak a universal language.
- 3. 2 Thankfully, just like there is a common language for the documents on the Web – the Hypertext Markup Language (HTML), there is a common language for data.
- 4. If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured), but to also make the most out of them, using a common language is critical. 3
- 5. To bring heterogeneous data sources into one synchronized 360-degree view of your enterprise data, you need a type of integration that uses Semantic Technology. 4 360º
- 6. What makes your data speak a universal language and allows them to connect with other data through a seamless exchange across systems are W3C standards such as IRI, RDF, OWL and SPARQL. 5 IRI RDF OWl SPARQL
- 7. 6 Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
- 8. 7 The process of such semantic data integration creates an interrelated information space, which facilitates the management and use of both the information and the knowledge derived from the data.
- 9. From a business strategy perspective, the aim of semantic data integration is two-fold: 8 It aims to bring external knowledge to existing data as to provide an enriched view (from a single entry point) to your enterprise data assets. It addresses the challenge of accessing and storing data from heterogeneous internal resources by building a unified well-structured whole to enhance your business processes.
- 10. 9 We know from experience that semantic data integration dramatically extends the enterprise capabilities to turn heterogenous data of all formats and sources into an integrated whole that serves better decision making and processes management.
- 11. 10 At Ontotext, we have created a set of data integration tools that can perform complex operations and are easy to use. TSV, CSV, *SV, Excel, (.xls and .xlsx), JSON, XML, RDF as XML and Google Data documents are all supported. Support for other formats can be added with OpenRefine extensions. from clipboard from webaddresses (URLs) TSV, CSV, *SV, Excel, (.xls and .xlsx), JSON, XML, RDF as XML and Google Data documents are all supported. Support for other formats can be added with OpenRefine extensions.
- 12. 11 In more technical detail, the semantic data integration lifecycle we have designed includes: recreating an Application Profile (RDF Shape) that describes the required form of the final dataset; reusing existing ontologies and engineering new ontologies as needed; leveraging fully the available Linked Open Datasets in your domain; designing a simple, logical and sustainable URL strategy; using the variety of available conversion and ETL tools to perform the integration; designing and implementing a data update strategy.
- 13. Interested? 12
- 14. www.ontotext.com You can also reach us via email at info@ontotext.com and directly by calling 1-866-972-6686 (North America), or +359 2 974 61 60 (Europe) Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.