Slashdot | Post-Googleism At IBM With Piquant

Slashdot Post-Googleism At IBM With Piquant - a discussion of this NY Times article by James Fallows. IBM Systems Journal fall 2004 issue discusses more in detail Unstructured information which represents the vast majority of the data collected and accessible to enterprises. This data may be in various formats and may lack the organization of traditional sources such as database records. Exploiting this information requires systems for managing and extracting knowledge from large collections of unstructured data and applications for discovering patterns and relationships. This issue presents eight papers on the tools, methods, and architectures which are evolving for managing unstructured information in areas such as life science and market research. The issue also contains a paper on managing an enterprise architecture and one on autonomic computing systems.

LXA:: Products

LXA:: Products: "The Lexalytics Knowledge Appliance® is a new class of software that solves a problem no search engine has been able to: actually make the data better than it was to begin with. The application provides the ability to search, find and extract relevant data and content from desktops, the Internet, corporate intranets and extranets. All of the important concepts from the data (people, companies, places, sentiment or tone classifications and documents summaries) are added to the original documents as enriched XML. This enriched content can be fed to any search engine or database product allowing new ways to utilize the content."

EContentMag.com

EContentMag.com: "Applying a mix of sophisticated text-mining techniques, natural language disambiguation algorithms, and artificial intelligence methodologies to the public Web and news databases creates remarkable sets of highly structured and useful documents in a unified format, ready to be searched. "

The Professor and the Adman

The Professor and the Adman

AND's and now Crystal Research's disambiguation engine, Textonomy can identify the difference between an article about the economic sense of the word "depression" versus one about its psychological sense. Using that distinction as a starting point, the Advance product prevents a publisher or contextual ad provider from serving an ad for psychotherapy alongside an article about Black Tuesday.

Textonomy Advance is now competing in the contextual advertising space.

Stochasto's Natural Language Search Engine

Stochasto ASA, with offices in Oslo and Moscow, owns unique, patented technology in three areas:
- Intelligent search based on natural language
- Heuristic antivirus detection
- Protection, including encryption

These technologies are based on scientific advances in stochastic analysis and artificial intelligence, and they have been developed over many years in Russia. The company has an R&D facility in Moscow with a staff of 30, most of whom are highly experienced computer scientists.

Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature

Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature: "Textpresso, a new text-mining system for scientific literature whose capabilities go far beyond those of a simple keyword search engine. Textpresso's two major elements are a collection of the full text of scientific articles split into individual sentences, and the implementation of categories of terms for which a database of articles and individual sentences can be searched."
Textpresso can be accessed at http://www.textpresso.org or via WormBase at http://www.wormbase.org.

Data Classification Using a Digital Taxonomy

Data Classification Using a Digital Taxonomy (SYS-CON)(Printview): "Another implementation challenge is ensuring that data is classified correctly. There are auto-classification tools available that attempt to derive data context by using natural-language algorithms. These tools attempt to 'understand' the content of the given data by evaluating not just the keywords, but also the circumstance. Once attained, the tools will assign the data to the proper term in the taxonomy. The accuracy of these tools won't match human classification but could be acceptable especially if the data is already tagged using some form of metadata."