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Search & Retrieval
Analytics, Visualization & Taxonomy
Collaboration & Personalization

Functionality Legacy Search | Conceptual Search | Directed Navigation
Overview
Related Events
Related Case Studies
Related Resources
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Conceptual Search

IDOL uses its patented pattern-matching technology to form a conceptual and contextual understanding of all content, independent of language or format, thereby enabling searches to be performed conceptually. Since conceptual search can find information based on words not located in the document, it does not fall prey to the limitations of legacy methods. In addition to the traditional search performed by entering a few terms.

Advanced Conceptual Retrieval
Advanced Conceptual Retrieval

IDOL solutions offer higher degrees of accuracy and sophistication, using a scalable technology that recognizes concepts. Putting information into context, this unique IDOL differentiator provides powerful conceptual retrieval features, including:

Natural Language Retrieval
IDOL accepts sample data as input (a sentence, paragraph or page of text, or the derived contextual information of an audio or speech snippet) and returns references to conceptually related documents ranked by relevance or contextual distance.
Query By Example
Users can submit sample data as input and IDOL returns references to conceptually related documents ranked by relevance or contextual distance.
Refine By Example
Users have the ability to refine by example. Based on the results of a natural language query, users can quickly refine their search by selecting refined examples to precisely focus on the context they require.

Relevance Ranking

In evaluating all types of queries, IDOL employs complex algorithms based on a combination of Information Theory and Bayesian methods to automatically weight and rank documents by statistical relevance. In doing so, it makes use of theoretic values calculated dynamically for all concepts on indexing, allowing the relevance of content to be evaluated. In practice, relevance can be seen as a measure of the conceptual overlap between the query text and the text within a document. Additionally, IDOL allows administrators to manipulate the relevance of query results in several ways:

Setting up a field process - users modify IDOL's configuration file, raising the percentage relevance of results according to the number of times that terms in specified fields match the terms in the query
Using BIAS - users can employ the BIAS field specifier to dynamically boost the percentage relevance of a query's results according to the numerical proximity of a specified field to a given value
Using Multipliers - users can multiply the weights of individual query terms in order to boost the relevance of results that match these terms accordingly

Key Benefits

Improves user experience by ordering search results in formats that better match expectations better
Relevance can be customized by administrators to suit business needs and employee roles
Properly implemented relevancy ranking can result in productivity gains and cost savings

This is a selection of our forthcoming events, please visit our seminars page for more information.

Automatic Hyperlinks provided by IDOL Server 7

This is a small selection of the Autonomy case studies available, please visit our publications site at http://publications.autonomy.com/ for more information.

Automatic Hyperlinks provided by IDOL Server 7

Functionality Legacy Search | Conceptual Search | Directed Navigation
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