(Cambridge, UK & Boston, USA - 2 September 2014) - Today, Linguamatics I2E Semantic Enrichment has been selected as a KMWorld 2014 Trend-Setting Product.

I2E Semantic Enrichment, the newest offering from Linguamatics, is used within an existing enterprise search deployment to enrich the current search metadata to make information more discoverable and provide more relevant search results.

I2E Semantic Enrichment uses Linguamatics’ text analytics platform, I2E, to bring powerful semantic and natural language processing (NLP) technology to enterprise search applications, particularly within life sciences and healthcare.

The system scans millions of documents, to identify and mark-up semantic entities such as genes, drugs, diseases, organizations, authors, patient characteristics and lifestyle factors plus other relevant concepts and relationships.

Enterprise search engines consume this enriched metadata to provide a faster, more effective search for users. This results in a richer search experience, increased findability and improved speed to insight, enabling users to be more productive and spend less time on search.

 “I2E Semantic Enrichment was selected by the panel because it demonstrates innovative use of natural language processing-based text analytics to address the issue of enterprise search findability, bringing better search results to the most important stakeholder – the customer." says Hugh McKellar, KMWorld Editor-in-Chief.

Dr. Phil Hastings, SVP Sales and Marketing at Linguamatics comments “We’re honored to receive this recognition from KMWorld.


Today, Linguamatics launches I2E Semantic Enrichment to provide increased return on investment in enterprise search systems and radically improve speed to insight.

I2E Semantic Enrichment is used within an existing enterprise search deployment to enrich the current data, make it more discoverable and provide more relevant search results.

The software scans millions of documents to identify and mark-up semantic entities such as genes, drugs, diseases, organizations, authors and other relevant concepts and relationships. Enterprise search engines consume this enriched metadata to provide a faster, more effective search for users.

I2E uses natural language processing (NLP) technology to find concepts in the right context, combined with a range of other strategies including application of ontologies, taxonomies, thesauri, rule-based pattern matching and disambiguation based on context. This allows enterprise search engines to gain a better understanding of documents in order to provide a richer search experience and increase findability, which enables users to spend less time on search.

Synonyms allow the user to find all relevant results, not just those containing the exact word. I2E also provides rich, multi-level facets for the search engine to help the user filter down to the most relevant results across the areas of interest (e.g. disease, drug class, etc).

Linguamatics Executive Chairman John M. Brimacombe commented "It's no secret that enterprise search hasn’t quite lived up to expectations, with users struggling to find the information they need and organizations dissatisfied with their search solutions.


New product release allows tens of thousands of enterprise search users to benefit from the power of Linguamatics’ market-leading technology.

(Cambridge, England and Boston, USA – June 19, 2014) Today, Linguamatics launches I2E Semantic Enrichment to provide increased return on investment in enterprise search systems and radically improve speed to insight.

I2E Semantic Enrichment is used within an existing enterprise search deployment to enrich the current data, make it more discoverable and provide more relevant search results.

The software scans millions of documents to identify and mark-up semantic entities such as genes, drugs, diseases, organizations, authors and other relevant concepts and relationships. Enterprise search engines consume this enriched metadata to provide a faster, more effective search for users.

I2E uses natural language processing (NLP) technology to find concepts in the right context, combined with a range of other strategies including application of ontologies, taxonomies, thesauri, rule-based pattern matching and disambiguation based on context.

This allows enterprise search engines to gain a better understanding of documents in order to provide a richer search experience and increase findability, which enables users to spend less time on search.

Synonyms allow the user to find all relevant results, not just those containing the exact word. I2E also provides rich, multi-level facets for the search engine to help the user filter down to the most relevant results across the areas of interest (e.g. disease, drug class, etc).


I2E 4.2 introduces integrated visualization for improved analysis and semantic enrichment capabilities for integration with enterprise search engines.

(Cambridge, UK and Boston, USA – 19 May 2014) Linguamatics announces the latest release of its award-winning natural language processing (NLP)-based text mining and analytics platform I2E. I2E 4.2 further enhances users' experience by introducing integrated charting and graphing to provide visual analytics for results extracted from large volumes of unstructured data.

I2E 4.2 includes new capabilities to support the integration of semantically enriched data into enterprise search engines to enhance the search experience for a wider audience.

The integrated visualization capabilities in I2E 4.2 will allow users to gain a comprehensive view of large or complex data sets with the ability to filter down to the information of most interest, making it easier to access the most important information faster and share results throughout the organization thus enabling more rapid decision support and increased speed to insight.

The new semantic enrichment functionality enables I2E to automatically identify and mark up concepts and relationships within data already used by enterprise search engines and link these to I2E's powerful domain knowledge to provide dramatically improved search results.

David Milward, Linguamatics CTO, commented "We are now working to a shorter release cycle, allowing us to respond in a more agile way to customer requirements.

We’re excited about the increasing demand for I2E in semantic enrichment for enterprise search platforms such as Microsoft SharePoint, and have delivered dedicated functionality to support that".


Linguamatics is today celebrating being named as a winner of the Queen's Award for Enterprise - the UK's highest accolade for business success.

Linguamatics receives the award for International Trade in recognition of outstanding growth in export sales across USA and Europe for its natural language processing (NLP)-based text analytics software platform.

Over the past five years Linguamatics achieved growth in excess of 300 percent in overseas sales and staff growth of almost 200 percent.

Linguamatics continues to grow and attract new customers. This year, the company will increase its work force by over 25 percent, in both Europe and the US.

 “From the beginning we recognized that international markets, especially the US and Europe, would be key to successful company growth. We have established and grown strong business relationships with many global multinational organizations, focusing on the high-value information problems faced by life sciences organizations and expanding into healthcare to meet meaningful use and big data challenges.”, said Phil Hastings, SVP Sales and Marketing at Linguamatics.

Linguamatics’ software platform, I2E, uses NLP to go beyond conventional search and understand the meaning of text.

I2E delivers dramatically improved speed to actionable insight, using computer algorithms to automatically mine, analyze and connect relevant knowledge buried in vast amounts of textual data and generate higher quality, targeted results for better decision support.