IDOL natively offers an array of search, navigation and analytics tools to process structured data. The advanced user can make SQL queries (FIND, JOIN, ORDER BY, SELECT, etc.) to pinpoint and manipulate search results, but IDOL offers far more sophisticated retrieval capabilities using an accessible, human-friendly query language. IDOL provides the same large number of operators to search structured data as it does to unstructured text - conceptual, keyword, search per field, conditional (i.e. give me results for products > $100K, cost < $15K, company name starting with "B"), wildcard, exact phrase, proximity, fuzzy search, relational and intersected taxonomy-based search, predictive spelling, stemming and synonym expansion, thesaurus query, search clustering, query-by-example, BIAS and many more.
One example of an IDOL operator that is not offered in standard database search is BIAS, which allows the user to easily modify the relevancy calculation by giving more weight to a specified field. Given a movie database with title, director, lead actors, year, genre and short description as the fields, the user can choose to bias the "genre" field or the "director" field to determine the similarity between movies.
Difference from OLAP cubes
IDOL was designed from inception to absorb any data type, be it voice, video or text, and manipulate, compare and relate these objects based on a mathematical abstraction of the meaning within each source. This permits IDOL to augment human decision-making through self-discovery of relevant dimensions within the data sets. Such self-discovery can be constrained and controlled at the atomic level by human operators, but dramatically separates IDOL from the manually-dependent models of traditional OLAP and other legacy data management systems. IDOL can thus normalize and automatically relate items within heterogeneous and previously unorganized data sets, no matter if the ideas expressed reside in tables, emails, telephone calls or videos, based on a mathematical understanding of the concepts within it. Thus, unlike the OLAP model, the storage of the data within IDOL is fully self-organizing and does not require the manual definition of complex schemas.
Parametric Probabilistic Space Analysis (PPSA)
IDOL incorporates advanced pattern recognition technologies for structured data, enabling computers to replicate the human ability to intelligently recognize and understand 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 residing in business applications. Autonomy provides flexible and open indexing APIs that not only import content, but also preserve and intelligently process all object rules, business intelligence and complex metadata relationships that reside in these applications. By preserving all business logic that the client has built into Line of Business (LOB) applications, it is able to interrelate between multiple databases and create a unified view of all relevant data from disparate systems.
Summary: ...to augment its existing HOLMES 2 intranet system for 2000 users. The solution was powered by Autonomy’s core technology, the Intelligent Data Operating Layer (IDOL). IDOL’s unified platform sits above all of the data in the organization and, using sophisticated mathematical techniques, forms a conceptual...
Summary: ...Virage MediaBin can automatically convert video and audio natural language to text and time synchronize with a streaming preview of the content. Video assets can be quickly and easily found with pinpoint accuracy to the exact location within a video where a word or phrase is spoken. Virage MediaBin also...
Summary: ...2009.” Says Glassbeam CTO Larry Lancaster: “We figured out how to make rigorous use of un-rigorously structured data. Our Semiotic Parsing Language – or SPL – is an interpreter that works on a declarative language that we’ve written. It unifies the parsing, ETL, database modeling, and OLAP tooling...
Summary: ...superior relevance. For example, IDOL K2’s parametric selection enables users to accelerate the conflict-checking process by selecting from drop-down lists to narrow searches to specific categories such as “Location,” “Industry,” or “Date.” Parametric selection helps Linklaters more easily...
Summary: ...Support applicant submissions that mirror the paper process to ensure compliance and compatibility with the County’s existing IT and line-of-business applications (i.e. Sigma, Documentum, PeopleSoft). • Adopt an online self-serve model where job applications are available for public submission 24x7....
Summary: ...IDOL K2 includes parametric selection. This enables users to focus their retrieval to select categories to produce the most precise results. “K2 provides the capability to quickly and continuously refine searches to retrieve the exact information you are interested in,” Graves says. “For example,...
Summary: ...Vertica Case Study: Crowdstar. 2 CASE STUDY | AGILE ANALYTICS IN THE CLOUD The Solution (continued) RightScale created a sophisticated macro which integrates ServerTemplates for Vertica, Talend and Jaspersoft. The macro integration instantly provides the configuration needed for the BI software components...
Summary: ...Condition and Price. This makes shopping easier, faster and more productive, as Callaway Golf Pre-Owned simplifies its extensive and frequently changing product line for customers. IDOL K2 also helps shoppers at www.callawaygolfpreowned.com find what they mean with advanced spelling and thesaurus tools...
Summary: ...words and the highly specialized language of pharmaceutical research and development. For example, when a scientist looks for the latest clinical trial findings on a treatment for schizophrenia known to researchers as “aripiprazole,” IDOL K2 expands the term to include synonyms like “BMS-337039”...
Summary: ...LLP (UK) to implement conceptual retrieval that transparently put the power of sophisticated queries behind simple, one-word searches. KPMG LLP (UK) is also well on its way toward implementing IDOL K2’s parametric selection. Using a combination of structured information, metadata, and free text, parametric...
Summary: ...Harrah's Entertainment - Case Study. “EMG made the technology work for our business without requiring a lot of technical expertise.” “We tailored the solution to meet the needs of individual properties and agencies, utilizing the exact metadata needed to support their specific search processes and...
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: ...order for the source document to be scored as a result • Phrases - combined words or terms that must appear directly ADJACENT to one another and in the phrase order for the source document to be scored as a result • Wildcards (stemming) - beginning characters that must match the same beginning characters...
Summary: ...data in search of event patterns. Users can apply complex pattern matching on a sequence of input events with the new SQL MATCH… PATTERN clause which provisions subclasses for analytical partitioning, ordering and grouping in the manner that is conceptually consistent with SQL 99 OLAP. Pattern is specified...
Summary: ...cases, IDOL SPE fully supports traditional methods used by BI applications. Simple and complex SQL queries (FIND, JOIN, ORDER BY, SELECT, etc.) can be entered to pinpoint and manipulate search results, or parametric searches can be performed based on defined metadata, as is often done in eCommerce applications....
Summary: ...global enterprise. IDOL’s language-independent technology develops a statistical understanding of the patterns of any language using sophisticated probabilistic modeling and patternmatching techniques. It currently supports over 100 languages and provides cross-lingual search. Autonomy also provides...
Summary: ...The need to manage content in varied languages has never been more acute for today’s global enterprise. IDOL’s language-independent technology develops a statistical understanding of the patterns of any language using sophisticated probabilistic modeling and pattern-matching techniques. It currently...
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: ...Aungate Real-Time Policy Supervisor. The solution is 100% web-based with the option to be deployed onsite or as part of a hosted service offering. It supports Microsoft Exchange and Lotus Notes and natively supports all types of Instant Messaging and Bloomberg, including Bloomberg Internet Messages, Blackberry...
Summary: ...of their respective owners. Product specifications and features are subject to change without notice. Use of Autonomy software is under license. [AUT PB] 29.06.07 Granular-Level Analysis Each IDOL component has a unique self-reporting capability that is not only designed to report state, (i.e. is a process...
Summary: ...as email addresses ? Identify suspicious date gaps in result sets ? Handle searches for large numbers of custodians and keywords ? Compare new audit data against previous audit results ? Enable expert use of advanced Boolean search techniques such as fuzzy, proximity and stemming ? Deliver results in...
Summary: ...date sent or date archived ??Free-form text/keyword or word phrases inside message content or attachments ??Data repositories that you have defi ned within your digital archive ??Advanced search capabilities, including fuzzy, proximity and stemming search, shorten time to results Develop Complex Searches...
Summary: ...DTCC, the industry’s preferred matching and confirmation utility, ensures seamless, automated processing of commodity derivatives documentation. Autonomy’s Intelligent Data Operating Layer (IDOL) is a sophisticated mathematical and statistical approach to information that alters the way computers...
Summary: ...legacy technologies may review and tag each item differently, resulting in a risk of exposure or failure to produce a sanctioned communication. Autonomy utilizes a fundamentally different approach to the ‘Needle in a Haystack' and context problems by using sophisticated mathematics and probability models...
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: ...Autonomy Technology Overview. give me results for products > $100K, cost < $15K, company name starting with “B”), wildcard, exact phrase, proximity, fuzzy search, relational and intersected taxonomy-based search, predictive spelling, stemming and synonym expansion, thesaurus query, search clustering,...
Summary: ...rely on these same inconsistent tags to generate results. 2010 Technology Updates Results Relevancy and Defensibility • Fully transparent computational process • Weight of every field can be manipulated • User feedback used to calculate relevancy and primacy • Recently added features include:...
Summary: ...Autonomy's Advanced Search and Scalability Solutions for SharePoint. While SharePoint can operate in multiple languages, Autonomy’s technology is based on a language-independent, patternmatching model that uses predictable statistical word patterns and probabilistic modelling to understand content....
Summary: ...laid out the concepts of dimensionality of the data, navigation, flexible reporting, etc. Codd/Arbor did identify some unique characteristics for OLAP. While mute on actual implementation or architecture, it was clear that the meta-model distinguishes OLAP from relational databases – the dimensional...
Summary: ...explore new dimensions of data and create what-if models. Power users, on the other hand, may start by personalizing views for colleagues and assembling reports and dashboards from pre-existing report parts (i.e, mashups). They then may craft new reports using metadata (i.e, semantic layer) and possibly...
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: ...of electronic discovery, the latter part of the twentieth century witnessed the demise of paper by a digital hero that emancipated the content of paper documents with OCR and TIFF. This technology added a third dimension to the realm of 2D paper document review and production that lead to a sea change...
Summary: ...Information Theory to automatically extract the key concepts from any piece/s of information. As a mathematical platform, it is not constrained by the limitations of linguistic or rules-based models. Distinct concepts, ideas and behaviors are exposed within any data set on the basis of mathematically...
Summary: ...the assumption that Bush refers to a person and not a plant. Technology Behind Speech Analytics Whereas legacy technologies seek only to match sounds, Autonomy uses sophisticated mathematical techniques to identify and understand the conceptual relations between words that determine their meaning. Autonomy...
Summary: ...expertise and vision to resolve these challenges and gain a clear and unabridged visibility into corporate information risk. The core technology driving Autonomy’s offerings is the Intelligent Data Operating Layer (IDOL). Using sophisticated and advanced mathematics, the IDOL platform was designed to...
Summary: ...applicant submissions that mirror the paper process to ensure compliance and compatibility with the County’s existing IT and line-of-business applications (i.e. Sigma, Documentum, PeopleSoft). • Adopt an online self-serve model where job applications are available for public submission 24x7. Customer...
Summary: ...relevant documents,’. [was the] sort of token effort [that] will hardly ever suffice.” The Courts and Custodian self collection Custodian self collection typically involves asking your employees, i.e. custodians, to determine potentially relevant data and preserve and collect that data. While this...
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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