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New Intent-based Search Engine To Provide True Personalization
Thusday, September 30, 2004
Multi-patented, Deductive Search Technology Provides True Relevance
and Personalization to Users While Reducing Hardware and People
Resources by up To 50%.
Market Central has launched SourceWare Search, new multi-patented,
fully automated, "intent-based" search solution. SourceWare
Search was established to fill a void within the corporate enterprise
and commercial search markets for a deductive search engine capable
of providing true relevance and personalization to users at multi-terabyte
scale, as well as enable organizations or web search operators to
reduce capital and maintenance expenses by up to 50 percent and
more.
Market Central President & CEO, Doyal Bryant, said, "Rapid
increases in information and technology are revolutionizing the
search process. SourceWare Search is on the leading edge of this
transformation in that it successfully addresses the critical issue
of relevance and personalization within the search environment."
Bryant continued, "Backed by a portfolio of patents, SourceWare
Search is unique in that it offers the corporate enterprise and
commercial search markets the proven ability to use search to dramatically
improve data and information management, while realizing significant
cost savings at the same time."
Unlike other conventional search technologies, SourceWare Search
will enable specialized portals to offer faster service and more
relevant data to its customers by accurately gauging user intent.
Using sophisticated natural language processing and interactive
artificial intelligence (AI) algorithms based on automated classification,
SourceWare Search creates extremely efficient meta-data. As a result,
SourceWare Search is able to process information in a number of
unique ways to accomplish real-time updates to the production environment,
classification, and natural language processing, which ultimately
leads to a fast, point-and-click path to relevant information for
users. In addition, the underlying technology that creates SourceWare
Search's functionality will be applied in order to create other
revolutionary breakthroughs in the areas of Intelligent Document
Recognition, Content Management, Document Management, Data Storage,
and Knowledge Management.
The significant benefit to users is that SourceWare Search is extremely
fast and easy to use, freeing them from the pressure of developing
a complete and precise search query to find and retrieve data. SourceWare
Search takes the user's search input and immediately identifies
the user's intent through the simultaneous examination of the stems,
synonyms, concepts, and key phrases and then brings back results
ranked on the basis of relevance. In the process, SourceWare Search
automatically categorizes its results with statistically significant
words and phrases so the user can recognize the appropriate context
for the search objective from the available data. Then the user
simply selects a topic (or set of topics) that most closely tie
to the search objective and in the subsequent search will receive
precise information with even more specific subject groups for selection.
For organizations, SourceWare Search is designed to find and effectively
leverage information across the enterprise, whether contained in
an Intranet, email, C drives, file servers, or in a database on
the network. Because of its underlying architecture and zero latent,
unstructured data technology, SourceWare Search completely eliminates
manual re-indexing requirements, enabling large enterprises such
as shopping and e-commerce sites to cut hardware infrastructure,
processing requirements, and human interaction by up to 50 percent
and more.
SourceWare Search features include:
-- Zero Latency (i.e., no re-indexing required)
-- Real-time updating of the production servers
-- Large capacity per data server
-- Distributed search
-- Full automation of crawling, classification, and semantics
-- Single query semantic interpretation
-- Real-time personalization of the semantics
-- Customizable relevancy ranking
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