[This local archive copy mirrored from the canonical site: http://www.edelman.com/archive/PAA16652.html; links may not have complete integrity, so use the canonical document at this URL if possible.]

Global NewsWeb Headlines - Full Text

| Home Page | Return to Headlines | Index |

        Autonomy First to Fully Automate XML Tagging; 
Autonomy Agentware Knowledge Server Now Features Automatic XML Tagging Module

  SAN FRANCISCO--June 2, 1998--Autonomy, Inc. today announced
that the Autonomy Agentware Knowledge Server now includes an automatic XML
tagging module in addition to its automatic categorization, hyperlinking, data
visualization and employee profiling features. Autonomy is the first company to
fully automate XML tagging for knowledge management applications.

  Autonomy CEO Mike Lynch believes XML standards can be very useful in helping
companies turn their vast repositories of word processing documents, email
messages, news articles and other archives into a coherent and accessible base
of knowledge. "Many knowledge management experts recommend developing a
company-wide system of XML tags for specific subjects and categories," Lynch
said. "Unfortunately, most of these knowledge management systems depend on the
work of 'elves', those expensive helping hands who manually read, sort, and tag
documents so they can be stored for retrieval," said Lynch.

  Requiring employees to tag their own documents is not the answer, either. "The
goal of a comprehensive knowledge management system is to make sure that today's
e-mail message or hot memo can help someone who may need it a year down the
line," Lynch said. "But put yourself in the shoes of the average employee.
You've just written a potentially useful email message. It is 4:30 in the
afternoon and you still have 12 items on your 'to-do' list. Are you really going
to take the time to look up the appropriate category and insert the relevant tag
just in case a colleague in another office might someday find your email message
useful?" he asked.

  According to Lynch, the cultural barriers are tremendous. "That's why we set
out to build a knowledge management system that works as a byproduct of normal
business operations."

  Agentware Knowledge Server, the core engine of Autonomy's knowledge management
solution, uses advanced pattern recognition technology to:

  -- Automate the categorization, XML-tagging, hyperlinking and presentation of
information, virtually eliminating the need for manual labor in the process.

  -- Summarize documents and recommend related articles and documents via
hypertext links. Because these links are automatically inserted at the time a
document is retrieved, they can include references to documents and articles
written long after the original document was published.

  -- Provide powerful data visualization technologies that present a unified
view of disparate data sources across the enterprise -- including email
messages, word processing files, PowerPoint presentations, Excel spreadsheets,
PDF files, Lotus Notes archives, intranet file servers, SQL/ODBC databases, live
chat/IRC, newsfeeds, and the expertise profiles of other employees. (Visualizer

  -- Profile each employee's area of expertise based on the issues they research
on the intranet, the ideas in the documents and email messages they submit to
the system and the topics they follow in their Knowledge Update (another
component of Autonomy's knowledge management solution).

The Technology Behind Agentware

  Autonomy's Agentware products employ Adaptive Probabilistic Concept Modeling
(APCM) algorithms to analyze, sort and cross-reference unstructured data. The
method is based on Bayesian statistical probability theorems, Claude Shannon's
principles of information theory, and neural networks.

  Autonomy's APCM-based software identifies key concepts in text along with the
associated frequency and relationship of terms most closely correlated with the
idea. Referred to as Concept Agents, the software abstracts can then be used to
locate other instances of the pattern of terms and contextual relationships that
represent a given concept.

  The effectiveness of Concept Agents improves over time as their focus on a
specific topic becomes more comprehensive and sophisticated. The agent will
actually become skilled at recognizing a relevant topic independently of the
language used to describe it, identifying articles on the same topic that might
have appeared in a tabloid and a scholarly journal.

The Company

  Autonomy develops software that automatically organizes large, unstructured
volumes of information into personally relevant channels to help corporate
intranets and commercial websites serve the changing needs and interests of

  The intelligent pattern recognition technology that fuels Autonomy's software
was originally developed by Autonomy's sister company, Neurodynamics, for use in
British intelligence and defense applications. That technology is at the heart
of the British police force's Holmes2 system, named after Sir Arthur Conan
Doyle's legendary detective. The Holmes2 system helps the police solve crimes by
matching fingerprints or by finding similarities and connections in disparate
crime witness statements or police reports. The same technology is now being
used to find connections in commercial data.

  Autonomy was founded in March, 1996 and remains a privately held company.
Autonomy is headquartered in San Francisco, California, with additional offices
in Roseland, New Jersey, and Cambridge, England. Its current customers include
News Corp., The Royal Mail, Barclays Bank, Virgin, British Telecom, Shell
International, Semi-Tech, Macmillan Publishing and Unilever.


     CONTACT: Edelman Worldwide for Autonomy
              Marivi Lerdo/Tiffany Spencer, 415/433-5381

Headlines | Directory | HOME | Index | Subscribe