Posts Tagged ‘pharmaceutical’

Using Semantic Technology to Find ‘Green Fields’ in Life Science

Code-N Technology reports, “In response to the life science industry’s cry for improved research technology, Code-N Technology, Inc. is announcing an early access program to its cloud-based software that empowers scientists to quickly discover new opportunities for drug candidates. Chemists looking to find ‘green fields’ of opportunity not yet claimed by their competition can access the Green Field Finder and perform concept-based searches that deliver results orders of magnitude faster than other commercial products.” Read more

Global Pharma Co Protecting Its Online Reputation with Semantelli

A leading biopharmaceutical company has chosen Semantelli’s CoProtect software to manage its online and social media reputation. The article reports, “Semantelli’s compliance ready, life sciences specific social listening solutions have helped top companies uncover previously unknown threats and opportunities emerging from web and social media… In August of 2011, Semantelli launched AETracker to help pharmaceutical companies monitor and manage adverse events reported on company owned Facebook pages and other social media outlets. Since the launch, AETracker has been deployed by top 10 pharma and OTC companies to manage and protect brand sponsored social media outlets.” Read more

SemTech 2010 Speaks Out About Health 3.0 — Open Healthcare Information … – PR Web (press release)

SemTech 2010 Speaks Out About Health 3.0 — Open Healthcare Information
PR Web (press release)
The conference’s three-day pharmaceutical and healthcare track will illuminate the ways semantic technology is being implemented to improve US healthcare

Peer39: Interview with CEO Amiad Solomon on Semantic Advertising Issues and Opportunities

Peer39: Interview with Amiad Solomon

Founded in 2006 by an innovative group of scientists and engineers, Peer39 was voted by MIT’s Technology Review as one of the Top Ten Web Startups to Watch in 2008.  Semantic Universe editor Tony Shaw recently spoke with Founder and CEO Amiad Solomon about the company’s innovations, the FTC and what we may expect in the future.

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Creating Dynamic Business Applications using Semantic Web Technology – Part II

This is the second of a two-part series discussing how Semantic Web Technology can enable Dynamic Business Applications in the enterprise. Read Part 1 of the article here.

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Gladstone Institutes, Alitora to Co-D… – GenomeWeb Daily News

Gladstone Institutes, Alitora to Co-Develop Search Software for
GenomeWeb Daily News
Under the terms of the collaboration, Gladstone will modify Alitora Systems’ semantic technology for biotechnology and pharmaceutical discovery and

TextWise Releases World’s First Semantic Cloud for Sequencing the Digital DNA of Text

ROCHESTER, NY – June 16th, 2009. Forget about trying to find text by simply using keywords or entities. Today at the Semantic Technology Conference, TextWise announces the release of their Semantic Cloud providing companies the ability to mine content using digital DNA – Semantic Signatures®. Semantic Signatures® represent a deeper meaning from text than either keywords or entities can provide. Semantic Signatures® encode the meaning of text by creating a unique ‘signature’ for every document providing superior retrieval and categorization of information without the ambiguity of keyword or entity services.

The TextWise Semantic Cloud provides a service for enterprises to retrieve real-time, highly relevant matches within their own private and secure dynamic content collections.

Using Semantic Signatures® a whole new class of search and matching applications is possible using documents as exemplars for finding very similar documents. TextWise has created one such application – Similarity Search and Matching (SSM). SSM enables fast and accurate information discovery for unstructured text.

Semantic Signatures® are customizable for any domain or content type, from blogs and online advertising to patent or pharmaceutical verticals, and new languages. Signatures quickly adjust to chromosomal variances among domains, languages, and collections. Signatures facilitate application development for a wide range of applications from social CRM, to difficult verticals such as patent lead generation and medical/pharma SSM.

“Semantic Signatures® are a big leap forward for jumpstarting wider adoption of semantic applications. The Signatures serve as a bridge between keyword search and entity extraction to the promise of scalable RDF-based inference systems that won’t deliver for a few years” said Connie Kenneally, TextWise CEO. “Now, companies can start making semantics a reality by utilizing automated concept-encoded text, a document’s digital DNA, to facilitate relevant retrieval of information with large volumes of unstructured text.”

SemanticHacker API for Testing and Developing:

A free version of SSM is available on the TextWise API site

Developers can organize and match their content against our public content collections of news, blog articles, Wikipedia articles and images, Flickr images and YouTube videos.

Web publishers can experience the power of Semantic Signatures® immediately with our Similarity Search widget or WordPress plug-in also available on our API.

Enterprises can place their own content in our semantic cloud to facilitate SSM against their own content.

To quickly experience the power of SSM in action, try our hands-on demo or view the video at


From Information to Knowledge: Efficient Development of Semantic Applications

Executive Summary

To extract applicable information from an abundance of available data takes companies a great amount of time. The same applies to consumers who are searching for an answer to a question on the Internet. Semantic technologies promise to take on a large part of this task. iQser’s Middleware provides the basis for the efficient development of such intelligent applications. The bottom up approach makes this possible, by means of a fully automatic semantic analysis.

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The Semantification of Chemistry

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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Is Content Intelligence the New Business Intelligence?

Executive Summary

The adage "content is king" has never been truer than it is today. Companies across the board are rapidly evolving their services to provide their customers with even more value in the face of the economic meltdown. With its near unlimited capacity and zero-cost of publishing, the Internet has grown astronomically. In 2006, it was estimated that the Internet encompassed 70 million blogs and 150 million Web sites (three million times the information size of all books ever written), and is currently growing by ten thousand pages per hour. What’s particularly interesting is that it’s not just traditional publishing companies that have to find ways to compete with the explosion of information – companies ranging from pharmaceutical developers to mortgage companies are exploring ways to create new information services by tapping the immense amount of information available on the Internet today. However, creating these new information services can be extraordinarily time consuming and expensive without the help of semantic technologies.

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