Software Development Kits enable entity and fact extraction.

Press Release Summary:

ThingFinder SDK v4.0 and ThingFinder Professional SDK v4.0 extraction engines automatically identify and extract key entities from any text data source, in multiple languages. ThingFinder SDK v4.0 offers Java Native Interface and pronoun co-reference resolution. ThingFinder Professional v4.0 enables pattern-based discovery of concepts, relationships, and events. Pre-defined event and relationship extraction packs are available.

Original Press Release:

Inxight Enhances Entity Extraction in ThingFinder, Adds Fact Extraction to ThingFinder Professional

ThingFinder SDK 4.0 Boasts Improved Speed, New Capabilities for Extracting Relationships and Events

SUNNYVALE, Calif., March 7 / -- Inxight® Software, the leading provider of enterprise software solutions for information discovery, today announced the general availability of Inxight ThingFinder® SDK 4.0 and Inxight ThingFinder Professional SDK 4.0.

The Inxight ThingFinder Software Development Kit (SDK) provides advanced text analysis technology that automatically identifies and extracts key entities from any text data source, in multiple languages. Out of the box, Inxight ThingFinder automatically identifies and extracts more than 35 key entities -- the who, what, when and how, such as people, dates, places, companies, email addresses, geocoordinates, facilities, etc. Using ThingFinder, developers can maximize and extend the value of their applications by enabling end-users to quickly find the most important pieces of information within large volumes of documents.

The new ThingFinder SDK 4.0 offers major feature enhancements, including a new Java Native Interface and pronoun co-reference resolution, as well as improved processing speed.

"Inxight ThingFinder continues to be the fastest, most accurate extraction engine in the market today," said David Guercio, senior vice president of worldwide sales and marketing at Inxight. "Our tests show that Inxight ThingFinder can identify all the entities in the 585-page 9/11 Commission Report in only 18 seconds."

ThingFinder Professional 4.0 is now the most extensible extraction engine available on the market, providing a full suite of capabilities to support user-extensible discovery and extraction of entities, relationships and events in more than 30 languages. Enhancements in the expressive power and usability of the rule writing language continue to put language-aware tools into application designers' hands, so they can leverage Inxight's deep linguistic understanding to achieve their specific text mining goals. A complete linguistic parse is available to create the most accurate patterns possible.

"The Professional version takes extraction to the next level by enabling pattern-based discovery of concepts, relationships and events -- whatever your information needs," Guercio said. "And to top it off, it's lightning fast, turning massive amounts of content into actionable intelligence."

With significant enhancements to its extensibility and usability, ThingFinder Professional now allows users to discover and extract custom entities, relationships and events, such as:

o Co-occurrence of brands or companies
o People's associations or activities
o Market and competitive intelligence
o Medication adverse effects, defect reports or claims information.

Pre-defined event and relationship extraction packs are available for a variety of uses, including corporate and business intelligence, such as mergers and acquisitions, as well as counterterrorism and law enforcement.

ThingFinder Professional 4.0 SDK delivers new Relationship and Event rules to get users closer to fact extraction out-of-the-box, including:

o Familial and interpersonal relationships
o People's attributes
o People's appearance
o Organizational relationships
o People and organizations' actions

Business Benefits

ThingFinder can be integrated into virtually any application that processes textual information, enabling users to create relevant, meaningful structured data from unstructured text to:

o Combine the most relevant information in unstructured data with
structured data to generate the reports and statistics that drive
o Find all references to products and people in customer service logs and
e-mails -- automatically -- and store them in your CRM database.
o Discover all company and brand mentions for competitive analysis and
business intelligence.
o Create link analysis and business intelligence applications that
monitor trends and movements associated with people, places, dates and
o Mine large volumes of text for relevant information and quickly
identify trends in data sets.
o Help classify data in Information Lifecycle Management (ILM)

These capabilities make Inxight ThingFinder an essential tool for information discovery applications, including publishing, categorization, link analysis, data and text mining, business intelligence, customer service, content management, and more.

Availability and For More Information

The Inxight ThingFinder 4.0 and ThingFinder Professional 4.0 SDKs are generally available now. For more information, please visit , or email or call +1-408-738-6200 or toll-free 1-888-414-4949.

About Inxight

Inxight Software, Inc. is the leading provider of enterprise software solutions for information discovery. Using Inxight solutions, organizations can access and analyze unstructured, semi-structured and structured text to extract key information to enable business intelligence. Inxight is the only company that provides a complete, scalable solution enabling information discovery in more than 30 languages. Customers include enterprise companies such as Air Products, Novartis, Procter & Gamble and Thomson, multiple U.S. and foreign government agencies, including the Department of Defense, Defense Intelligence Agency, Department of Homeland Security and Commonwealth Secretariat, and software OEMs such as SAP, SAS, Oracle and IBM. The company has offices throughout the United States and Europe. For more information, visit or call 1-408-738-6200 or +44 (0) 1252 761314.

Source: Inxight Software, Inc.

Kathy Maag Bentaieb of Inxight Software,

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