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
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
Summary: ...Burges Salmon – Knowledge Management System. While all these resources are highly useful, there were frequently issues with cross compatibility of results and rankings from different sources, access rights across disparate databases, and even simply users not knowing which information database to query...
Summary: ...its meaningbased capability, IDOL also offers Radioplayer listeners powerful analytics tools, displaying for each search result the percentage of relevance to the search term, proximity in time, and proximity in location. These easy-to-use, deep search and analysis capabilities have encouraged the discovery...
Summary: ...El Mundo case study. These automatic hyperlinks point to conceptually related items and alert site visitors to similar information they would also like. In addition to this, suggested further query terms are automatically generated to further refine the user’s results, all based on the meaning contained...
Summary: ...the County reduce the waste associated with manual processes, printing and storage of paperbased application forms. The municipality also eliminated data entry errors by incorporating database validations, calculations and other intelligent eForm features. Case study | County of San Diego Case study | County...
Summary: ...in the system simultaneously, regardless of format or repository, including rich-media such as audio or video files. In order to overcome the challenge of duplicate data, it would also need to be able to identify links between related data based on more than a simple keyword match. Finally the system...
Summary: ...Optus Success with Microsearch and Autonomy an HP Company. Solution Highlights • Capability to rank results based on contextual relevance and popularity. • Capability to promote products and services. • Capability to direct users to the right channel based on context. • Capability to augment default...
Summary: ...Scotiabank uses Scrittura Automatic Confirmations to match barcodes and document identifiers, as well as Digital Signing which allows users to stamp confirmed trades with electronic signatures and store signatures in the system. Figure 1 - Sample Scrittura Document Template Automated Regulatory Publishing...
Summary: ...BAE Systems - The right information to the right people in real time - Case Study. And it automatically alerts BAE SYSTEMS employees to documents in the system that relate to what they're doing, or to other employees in the company whose interests and expertise match their own. BAE SYSTEM’S CEN Clustering....
Summary: ...Korea’s leading steel maker by pursuing a course of manufacturing innovation. The mill was an early adopter of “electric arc furnace” technology, for instance. This technology can reduce the amount of energy per unit weight required to mill steel. Electric arc furnaces can also be started and stopped...
Summary: ...For example: • Conceptual Search retrieves documents which are thematically similar even if they don't feature the keywords used in the original query thus moving beyond traditional approaches which depend heavily on grammatical structure or specific vocabulary. • IDOL's unique AQG refines search...
Summary: ...variety of different applications, including updating the submission and 3 approval process for travel expense report forms. Currently when a teacher or administrator returns from a business trip, he or she fills out an authorized expense report form, copies and staples all relevant receipts to the form,...
Summary: ...layer in the research repositories and focus on the production of differentiated know-how that reflects the firm’s practice specializations and competitive differentiators. With IDOL powering both the Knowledge Centre and the firm’s WorkSite document and email management solution, DLA has been able...
This is a small selection of the Autonomy case studies available, please visit our publications site at http://publications.autonomy.com/ for more information.
Summary: ...Autonomy Document Management Server Technical Brief. Relevance Ranking In evaluating all types of queries, IDOL Server employs complex algorithms based on a combination of Information Theory and Bayesian methods to automatically weight and rank the document returns by statistical relevance. Automatic...
Summary: ...or storage location, and can perform advanced operations on that information in real-time. IUS accepts search input in simple human friendly forms like sample data, sentences and returns results to conceptually related documents ranked by relevance. Unlike traditional search engines that only search and...
Summary: ...Intelligent Universal Search - Autonomy Product Brief. IUS accepts search input in simple, human-friendly forms like sample data and returns results to conceptually related documents ranked by relevance to help people utilize their company’s wealth of knowledge. As a result, IUS increases the speed...
Summary: ...combine Boolean and Proximity operators to form simple or complex Boolean expressions Parametric search Users can search for items by certain field values. When they provide fixed values in parametric fields, the parametric search returns consistent values in the non-fixed parametric fields. For example,...
Summary: ...of data types & sources • Moves beyond reporting towards pattern recognition & predictive analytics Autonomy IDOL is the engine that allows Autonomy’s enterprise search applications to solve key business problems. IDOL uses patented algorithms to automatically recognize concepts and ideas expressed...
Summary: ...170 patents, IDOL offers higher degrees of accuracy and sophistication using a scalable technology that recognizes concepts. 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. Full XML Support IDOL allows...
Summary: ...topics that matter to you. IDOL 10 does not rank results simply on popularity, keyword matches, or other legacy algorithms, but automatically tailors search results to your purpose and specific query, making search a far more effective and pleasant experience. Expanded conceptual entities Imagine a series...
Summary: ...Autonomy PiB 4.3 08/03. The Retrieval Portlet submits the natural language query to one or more databases that have been set up, in order to find documents that are related to your query. The concept of the query is analyzed and documents that are relevant to this concept are returned to the user. • Legacy...
Summary: ...your productivity. That is why IUS goes far beyond simple search capabilities to help you find and act on information now. IUS accepts input using a human-friendly sentence structure—from sample data to video—and returns comprehensive, precise results ordered by relevance. IUS automatically categorizes...
Summary: ...Maximize performance in extranet search and eCommerce - Autonomy extranet search and ecommerce solutions. Autonomy’s IDOL (Intelligent Data Operating Layer) is the engine that allows applications to solve key business problems. Using patented algorithms, IDOL automatically recognizes concepts and ideas...
Summary: ...improve elements of the campaign to attract the greatest value audience. Autonomy’s bid management system is unparalleled. We determine the most effective bid and match type across all engines and automatically place and refine bids based on performance. Autonomy’s solution allows marketers to analyze...
Summary: ...gas and electricity in familiar word processing environments without formatting diffculties or loss of document control n Resolving trade discrepancies through auditable trade annotations, precision queries on unmatched trades, and barcodes that automatically match returned documents against existing...
This is a small selection of the Autonomy Product Briefs available, please visit our publications site at http://publications.autonomy.com/ for more information.
Summary: ...complex patterns in data. PPSA is a highly sophisticated parametric search capability that relates n-dimensional structured objects to one another conceptually, even where no direct field match exists. Business Applications Autonomy fully supports querying and integrating results from structured content...
Summary: ...Sample Set for an MBC Definition and applying it to a target set of documents. Attorneys and eDiscovery professionals then iterate running a Random Sample to test and evaluate the precision and recall of the MBC Definition, enhancing the MBC Sample Set based on their results, and then rerunning the MBC...
Summary: ...Transitioning to a new Era of Human Information. MapReduce is a software framework that allows relatively finegrained control of how calculations can be performed on large data sets via a large number of computers. The “Map” step takes the input, divides it into smaller sub-problems, and distributes...
Summary: ...process • Weight of every field can be manipulated • User feedback used to calculate relevancy and primacy • Recently added features include: • Query bread-crumbing/Audit • Real-time validation sampling • Defensibility reporting • Intent-based ranking • Social media scoring New Enhancements...
Summary: ...conceptual profile of each user based on both explicit profiles (agents) and implicit profiles (click thru and submission), automatic profiling avoids the need for explicit input of any form from the user and delivers options for identifying and managing expertise and collaboration. ? Community & collaboration...
Summary: ...classification of content based on specific keywords contained in messages and files or on metadata such as address fields, date fields and subject fields • Automatic classification based on patented IDOL algorithms that extract the essential meaning of each document through statistical analysis Through...
Summary: ...workings and underlying theory. Autonomy’s approach is based on a unique combination of technologies with theoretical underpinnings that can be traced to Bayesian Inference and Claude Shannon¹s Principle of Information. Bayes Theorem has become a central tenet of modern statistical probability modeling....
Summary: ...data with several Word documents and PDFs of 100 pages or more. Unbeknownst to the vendor, you must ensure that a query found on page 90-100 actually matches and returns these documents. This will force a vendor to search and index documents in their entirety, rather than limit retrieval to a reduced...
Summary: ...core to load the information. The uniqueness of the query then forces the only truly complex step, a one-off calculation in which combination algorithms arrive at the most relevant set of documents to the query. These can then be returned without the need for looping through every potential match. Autonomy...
Summary: ...as quantum clustering, to form them. It understands that there is an X probability that the content in question deals with a specific subject by studying the preponderance of one pattern over another. IDOL is built on algorithms rooted in Bayesian Inference and Shannon’s Information Theory. With Bayesian...
Summary: ...content, but the most relevant. Advanced heuristics such as user profiling and intent-based ranking ensure that IDOL orders results not just based on popularity or keyword matches or other legacy algorithms, but tailors the results to the user’s purpose and to the specific query, making search more...
Summary: ...document. 2. The enhanced document is processed using Intelligent Document Recognition to extract key terms. 3. Best matching deals are identified and then returned with a percentage match statistic. 4.
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This is a small selection of the Autonomy White Papers available, please visit our publications site at http://publications.autonomy.com/ for more information.
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