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: ...IMR Alchemy Gold image archiving and retrieval system for storage of the original images. Today the surveys are scanned in to TeleForm, which automatically determines which of the over 600 American Express form templates matches the processed forms. Next, using a patented multiple-engine recognition technology,...
Summary: ...its meaning-based 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: ...printing and storage of paper-based application forms. The municipality also eliminated data entry errors by incorporating database validations, calculations and other intelligent eForm features. Additionally, the County raised employee productivity by adding automated business rules to application forms...
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: ...or what Autonomy calls “workers,” that connect to the Ultraseek search engines in operation across IDG sites so that one query can search all of them. Results from each source are then dynamically merged and re-ranked for relevancy, while duplicate hits are eliminated. Visitors can refine or expand...
Summary: ...findings on a treatment for schizophrenia known to researchers as “aripiprazole,” IDOL K2 expands the term to include synonyms like “BMS-337039” and “Abilitat”—and returns all documents relevant to this compound. In addition, IDOL K2 enhances retrieval by analyzing grammar, determining word...
Summary: ...helps us put our metrics and analytics data to work for the business,” says Soll. “For example, our analysis team will identify the most common search terms that people are getting no results for. The business can then use TeamSite to refine the tagging of the appropriate product pages so they’ll...
Summary: ...Jane's Information Group Case Study - Intelligence Portal. With IDOL K2, Jane’s delivers its accurate authoritative and impartial intelligence even faster and more efficiently than ever before. “IDOL K2 raises the value of our subscription-based content by providing users with reliable access to Jane’s...
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...
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: ...Example Users can submit sample data as input and the system returns references to conceptually related documents. • Refine By Example Based on the results of the natural language retrieval, users can quickly refine their search to precisely focus on the context they require. • Cross-Language Search...
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: ...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: ...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: ...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: ...standard reports and create and save your own reports. Reports can include any combination of over 60 different metrics. • Segment Integration: automatically discovers and refines new segments based on PPC results including term, source, CPA, and CPC data. Autonomy Optimost provides the ability to understand...
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: ...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: ...extracted by IDOL server. The underlying algorithm is the same regardless of the language used. While Autonomy's technology is language independent, it can be beneficial to use language dependent features in order to optimize IDOL server’s ability to match concepts irrespective of their appearance in...
Summary: ...by automatically suggesting new terms. More significantly, the solution enables companies to take a more intelligent, policy-based approach to their risk management strategy, and in doing so, greatly increases the quality of information that is brought forward for review. The Supervisor solution allows...
Summary: ...match incoming documents against existing trades. • A powerful search engine can precision query on both fields and full text via IDOL’s conceptual search and also provide automatic matching of incoming confirmation documents to trade data. • Trade confirmations can be annotated for disputes in...
Summary: ...Autonomy Scrittura Product Brief. • A powerful search engine can precision query on both fields and full text via IDOL’s conceptual search and also provide automatic matching of incoming confirmation documents to trade data. • Trade confirmations can be annotated for disputes in a fully audited...
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: ...be evaluated in complex ways; as well as the matching of the basic terms within documents using patented weighting algorithms, it is able to develop the terms to "read between the lines" and determine conceptual matches that legacy search engines would be unable to locate. However, IDOL is able to perform...
Summary: ...in any language and any format, wherever it is stored. Search options include: Conceptual Search, Natural Language Retrieval, Query By Example, Refine By Example and Cross-Language Search. The technology retrieves and returns references to conceptually related information and results are presented with...
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: ...tables and places the text into output sets in the generic form of (Key, Data). The Reduce function sums the input values and outputs the word and the total number of occurrences in the documents. The Map function can perform unstructured text analysis or statistical analysis through a program written...
Summary: ...powerful retrieval features, including natural language, conceptual search, refine by example, crosslanguage search and query by example. Autonomy also supports legacy retrieval mechanisms, such as keyword, Boolean, Proximity, Exact Phrase, Soundex and many others etc. ? Active matching Proactively link...
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: ...for SharePoint High-Speed Conceptual Search Built on a unique pattern-recognition technology, IDOL’s conceptual query mechanism allows a seemingly simple query expression to be evaluated in complex ways; as well as the matching of the basic terms within documents, it is able to “read between the lines”...
Summary: ...with a search query 20 times a second, leading not only to collapse of the SharePoint servers under the weight of queries, but subsequently poor search performance, as a results list cannot be accurately compiled until all repositories have generated results and the multiple rankings have been compiled....
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: ...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 Inference,...
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: ...their inner 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...
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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