Posts Tagged ‘retail’

Carving a place in the enterprise for Semantic Technology by getting past the semantics of ‘semantic’

Semantic Technologies have much to offer today’s successful business, with regulatory, operational and economic forces combining to require that timely and accurate data from across the enterprise be available on demand and at the point of need. Clear benefits are often disguised, though, by obscure language, serious misconceptions about what ‘the Semantic Web’ could or should be, and an unfortunate tendency to advocate ‘semantic technology’ per se rather than specific solutions to tangible business problems.

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Silver Creek Systems Named Top Product Data Cleansing Product By … – PR Web (press release)

Silver Creek Systems Named Top Product Data Cleansing Product By
PR Web (press release), WA
Its datalensâ„¢ System uses next-generation semantic technology to standardize, enrich, match and repurpose product data from any source – reducing implementation time, cost and risk while improving quality. Market-leading companies in retail,

Bringing Semantic Technologies to Enterprise Data

World Wide Web inventor Sir Tim Berners-Lee declared the Semantic Web ‘open for business’ in 2008, celebrating the ratification of the SPARQL query specification by the World Wide Web Consortium (W3C); the organisation of which he is Director. “I think we’ve got all the pieces to be able to go ahead and do pretty much everything,” he stated in an interview. “You should be able to implement a huge amount of the dream, we should be able to get huge benefits from interoperability using what we’ve got. So, people are realising it’s time to just go do it.”

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DataLens System Named Data Quality ‘Product Of The Year’ By … – Emediawire (press release)

DataLens System Named Data Quality ‘Product Of The Year’ By
Emediawire (press release), WA
Its DataLens Systemâ„¢ uses next-generation semantic technology to standardize, enrich, match and repurpose product data from any source – reducing implementation time, cost and risk while improving quality. Market-leading companies in retail,

Automatically Structuring Unstructured Corporate Websites for Producing a Company Search Engine


Executive Summary

We have used a sophisticated array of AI/Machine Learning systems in combination with statistical methods, background knowledge and expert defined rules engines, to create, entirely automatically, a structured database with high quality information. The example we have produced contains structured company records and fields for over 2 million IT and telecoms companies using data taken from their websites.

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