Better text mining makes it possible to connect information in a variety of sources. The technology can connect information in CRM databases with consumer e-mails and help desk reports to provide a more complete view of the customer. Text mining can also be used in national security applications to better identify terrorists and security threats; it can assist in marketing to mine reviews for feedback on products such as movies, books and music. It can help in scientific research by providing a way to better connect scientific articles.

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SemTechBiz is Less Than 2 Weeks Away

The Semantic Tech & Business Conference (SemTechBiz) is coming to San Francisco on June 3-7! Join us for case studies, innovative panels, tutorials, and keynotes that will provide you with practical advice, hands-on guidance, and breakthrough approaches to solving business problems with semantic technology. Passes go up $200 at the door. Sign up now and save !

Stephen Wolfram generously gave me a two-hour demo of Wolfram Alpha last evening, and I was quite positively impressed.  As he said, it’s not AI, and not aiming to be, so it shouldn’t be measured by contrasting it with HAL or Cyc but with Google or Yahoo. 

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Executive Summary

Semantic Web (SW) is a vision of World Wide Web Consortium for seamless integration and query of complex data of all kinds and here we describe its implementation for chemical drug-like compounds. Resource Description Framework (RDF) is a recommended technology to integrate a variety of applications and provide a light weight ontology system to support annotation, search and exchange of knowledge in a SW. Establishing, managing and exchanging information on chemical compounds is a huge challenge for researchers working in many fields ranging from drug-discovery to enzymolgy, bio-fuels to agriculture. Structures of chemical compounds are complex to be described by names alone. Subtle structural changes may result in huge change in chemical properties and these changes may not all be explicit in its name. Also, the total number of chemical compounds one may have to deal within a particular field may run into millions. These are just a few of the reasons why we need a new generation technology – the Chemical Semantic Web (CSW), to manage chemical compounds. Here we describe a technique of establishing CSW using Chem-BLAST[1] and present a prototype CSW resource for AIDS research (http://bioinfo.nist.gov/SemanticWeb_pr2d/chemblast.do). Recently, we have extended (http://xpdb.nist.gov/pdb/chemblast.html ) this work to the tens of thousands of ligands held in the Protein Data Bank (http://www.rcsb.org/pdb/home/home.do ).

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Executive Summary

Chemistry is a central science and the data produced as a consequence is immense. However, much of this data is which makes data integration difficult. In this article, we demonstrate how chemical data can be retrieved from reports, scientific theses and papers or patents and discuss how these sources can be processed using natural language processing techniques and named-entity recognisers to produce chemical data and knowledge expressed in RDF.

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Executive Summary

This case study explains the development and deployment of the Immunisation Explorer, a newly created business application within UCB Group that has been developed to exploit the semantic services provided through the Metatomix Semantic Platform.

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Executive Summary

Chemistry is an important and high-value vertical in the modern world and the "semantification" of chemistry will be crucial for further rapid innovation not only in the discipline itself, but also in related areas such as drug discovery, medicine and materials design. This article provides a short overview over the current technological state of the art in semantic chemistry and also discusses some obstancles, which have, so far, impeded the widespread uptake of chemistry in the domain.

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