Knowledge Management System

CL Research Knowledge Management System (KMS)

The Knowledge Management System (KMS) is designed to provide a single interface for a range of text processing functions:

(See the KMS slide show for a detailed description, including screen shots.)

CL Research is now seeking beta-testers for KMS. KMS is best viewed as a tool for some regularized knowledge intensive process, such as intelligence gathering, scientific research, litigation support, or other continuing need for information of a specific type. In working with clients, CL Research has found that each client has a different information need (that is, follows a unique user model). No general models of user behavior in making use of the technologies incorporated in KMS (i.e., question answering, summarization, information extraction, document exploration, and ontology use) have been developed in the research community. CL Research has developed a beta-testing paradigm designed to examine and characterize different user models.

The Beta-Testing Program

Acceptable beta-testers will have a reasonably well-developed and characterized information need. CL Research will provide, at no cost, all components of KMS and its supporting programs for a one-year period, upon the beta-tester signing a non-disclosure agreement and a beta-testing agreement. KMS contains an integrated component for requesting assistance, reporting bugs, and suggesting features. CL Research will not provide any direct assistance, other than attempting to incorporate user comments in revisions of KMS (unless the beta-tester wishes to enter into a separate contractual agreement). The beta-tester may keep any output generated by KMS, without any restriction. (KMS output is all in an XML format, with simple structures and may include answers to questions, keyword lists, single or multiple document summaries, and single or multiple document ontologies.) CL Research makes no promise that KMS will be released as a formal product. For further information, contact CL Research.

Core Technology

KMS incorporates the latest language engineering technologies covering the full spectrum of text processing from the word level to summaries of multiple texts. Text from a variety of common formats (such as HTML, DOC, PDF, and WPD) is converted into XML documents and is then processed into a unified framework (XML tagged) that enables full exploitation of the meaning of the text. Using a single interface to access the XML-tagged representation, the user can create general summaries of one or more documents, create topical summaries focused on events or points of view, obtain answers to fact-based questions (with the sentences in which they're found), create essay summaries answering more general questions, extract information for databases, examine a document's semantic network structure, and probe the details of documents from many perspectives. CL Research's software consists of three principal components: text processing, text summarization, and text analysis. The overall architecture of KMS is shown below.

KMS Architecture

Text Processing

CL Research's core text processing technology creates an XML representation of the text and includes the following features:

Text Summarization

Text summarization is performed with an XML analyzer that enables examination of one or many documents from many angles (virtually instantaneously for moderately-sized collections, such as 50 newspaper articles), including the following:

Text Analysis

Text analysis allows the user to probe more deeply into the document collection (exploiting the rich underlying XML structure) with a variety of tools.

Maintained by Ken Litkowski.
August 20, 2005
Copyright © 2005 CL Research