As a pioneer of the Meaning Based Computing (MBC) movement, Autonomy is a recognized leader in solving the difficult problem of analyzing unstructured content. But what about the rest of data in business applications, where a substantial amount of enterprise intelligence resides? Due to the challenge of processing different types of content in a siloed environment, most enterprise search vendors leave the processing of structured data to Business Intelligence (BI) technologies. However, maximizing business intelligence requires the proper integration and combined analysis of these disparate content types.
For the heterogeneous enterprise that holds many sources of data, Autonomy's mature connector framework supports over 400 repositories to enable search across the entire enterprise corpus from a single interface. This allows for an unprecedented picture of the organization's information assets in one view. Autonomy supports structured data with the same level of intelligence, flexibility and precision as it does unstructured content, preserving complex relationships and automatically correlating relevant content by extracting concepts and entities from all data types.
Unified Information Access
By storing all content - structured, semi-structured, unstructured, transactional and archived - in a single IDOL index, users are given a unified, holistic view of the entire enterprise knowledgebase and can realize relationships that lead to increased productivity, reduction in duplicate work, and other significant cost-saving benefits. This unified architecture enables automatic and rapid linking of information to be formed between all formats, multimedia, records and many others.
Content analytics
IDOL provides over 500 advanced functions that enable intelligent interactions between all data formats, the following is a small sampling:
Automatic Entity Extraction (Eduction) – One of the methods IDOL uses to correlate unstructured content with structured data is entity extraction. IDOL can automatically identify key entities in unstructured content (e.g. name, date, SSN, location) and use this information to link with structured data. Autonomy's eduction module is designed to perform these extractions intelligently by using context to understand that "Lion and Lamb" in one context refers to two animals, and in another context, a name of a bookstore.
Conceptual Data Analysis – MBC can also reach conceptual, probabilistic conclusions for the relationships that exist between different entries across different systems. This can then be compared with unstructured data for related information. For example, the system can automatically realize from flight database entries that passengers who fly from NY to SFO sometimes fly via Oakland. This understanding can then be combined with unstructured processing of passenger comments that indicate the passengers' positive sentiment to flying via Oakland because of in-seat entertainment. An understanding can be formed by analyzing the distributions in the structured data and combining them with the concepts derived from unstructured content.
Automatic Hyperlinking – IDOL allows manual and fully automatic linking between related pieces of information regardless of format. These link to contextually similar content and can be used to recommend related articles, documents, affinity products or services, customer profile in a database, or concepts within voice and video mail.
Visuals – Search results are presented in a dashboard-like UI, combining structured, semi-structured and unstructured content. Users can quickly see the relevant documents, websites and domain experts, as well as view charts, diagrams and spectrographs from databases in a BI-like fashion.
Clustering – IDOL can take a large repository of data and automatically partition it so that similar information, even of varying formats, is clustered together. Each cluster represents a concept area within the knowledge base, making it easier for organizations to identify inherent themes and discard irrelevant batches of content.
Faceted Navigation – IDOL automatically identifies the main facets (from structured and unstructured content) to be navigated to narrow down results or focus the search.
Automatic Taxonomy Generation – Autonomy can leverage any existing taxonomy where metadata, structure, or ontology of terms defines a hierarchy of categories. For example, a directory structure of files on disk can be used to generate a corresponding taxonomy of categories. XML taxonomy files, sets of meta-tags, or data structured in tables in a database can be leveraged to define example sets and their corresponding taxonomies.
Summary: ...assets that help perform specific legal tasks. For example the process associated with filing a certain type of motion in a specific jurisdiction is presented in the form of an online book with its chapters representing the process in a step by step manner. This intuitive UI also supports collaborative...
Summary: ...Hyperlinking feature suggests pertinent documents that are contextually linked to the original text thus ensuring that professionals have complete visibility over all relevant corporate content. • Automatic Eduction to automatically extract entities in a piece of information such as organization, people,...
Summary: ...suggests pertinent documents that are contextually linked to the original text thus ensuring that professionals have complete visibility over all relevant corporate content. • Automatic Eduction to automatically extract entities in a piece of information such as organization, people, places and figures,...
Summary: ...as engineers, programmers and technicians. Thomas M. Menino, Mayor of Boston, creatively addresses the needs and challenges that the city faces, including efficient management of resources, budget and internal business processes. The Challenge As a government entity with 19,000 employees across 43 departments,...
Summary: ...flow chart of the various business processes, from developing a product to actually servicing a customer, to determine where efficiency could be increased. The focus of this effort quickly narrowed to the first point of contact with a customer. “The call center is obviously a big part of that,” says...
Summary: ...locations and more than 161,000 members, Arrowhead suffered under the weight of the manual processes surrounding its paper-based market research and member satisfaction surveys. The cost of outsourcing services, such as data entry, for example, proved prohibitive to the company. Arrowhead realized it...
Summary: ...Australian National Audit Office Case Study. Case Study “Interwoven created the only proof of concept that was able to stand up quickly and remain stable. The others efforts crashed repeatedly. We found Interwoven’s solution to be user friendly, stable, easy to understand and within minutes staff...
Summary: ...Radioplayer - Autonomy Case Study. IDOL could be used to power search based on concepts, as opposed to keywords or the successive selection of metadata parameters (parametric search), or to analyze search results by grouping and interlinking them into clusters based on the similarities of their ideas,...
Summary: ...capabilities embed intelligence within the form to navigate the business process, enabling PACE to develop a comprehensive business solution for BOCES Autonomy TeleForm is the only solution to combine world-class information capture with Meaning-Based Computing (MBC) technology, successfully integrating...
Summary: ...La Voz de Galicia - Case Study. [20120914_CI_CS_LaVoz] Autonomy’s unique ability to automatically aggregate information from a variety of different sources, analyzing patterns and identifying concepts within the data, enabled La Voz de Galicia to achieve their goal of retrieving information with the...
Summary: ...law, and business and commercial matters. One of the region's fastest growing firms, Laborde & Neuner serves some of the nation's premier insurance companies and oil and gas–related entities, as well as many national corporations, small businesses, and individuals. The Need Perform cloud-based eDiscovery...
Summary: ...to capture this knowledge in real time.” IDOL K2’s powerful retrieval technology is also essential. IDOL K2’s Topics accommodate commonly misspelled words and the highly specialized language of pharmaceutical research and development. For example, when a scientist looks for the latest clinical trial...
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: ...visible. Spectograph This user interface displays the relationships between clusters in successive periods and sets of data. Clusters are presented as a JSPbased spectrograph, whereby the x-axis represents information over a given time period, while the y-axis represents the range of concepts defined...
Summary: ...ability to identify and extract elements from content based on predefined grammars and rules. It also permits custom entities to be built and deployed to meet specific objectives. In order to determine the primary entities within a story, entities can also be compared with other concepts covered within...
Summary: ...and manual user tagging. By leveraging the powerful conceptual search capability of IDOL, Universal Search goes far beyond simple search to provide users with contextually relevant results, automatic categorization, automatic hyperlinking, faceted navigation, audio and video search to provide the most...
Summary: ...and manual user tagging. By leveraging the powerful conceptual search capability of IDOL, Universal Search goes far beyond simple search to provide users with contextually relevant results, automatic categorization, automatic hyperlinking, faceted navigation, audio and video search to provide the most...
Summary: ...to exclude disclaimer language and distinguish false positive text and concepts for better detection capabilities and more comprehensive risk management • Intelligent sampling enables enhanced support of latest FINRA practices for post-review of email, Bloomberg and Instant Messages • Advanced analytics...
Summary: ...some of the companies in the world can spend less time on document management and more time analyzing relevant evidence and collaborating on their case strategy. For example, the second largest retailer in the US uses Introspect Review and Production hosted services to enable over 20 law firms and legal...
Summary: ...and review all forms of ESI, including audio and video and provide advanced, in-depth analytics. Autonomy Stratify Review automatically sorts documents into mater-specific concept folders, analyzes emails between senders, receivers and hidden intermediaries and allows for random sampling of any documents...
Summary: ...of concepts is based on the entire corpus of data analyzed by IDOL. Therefore, as new vocabulary and terms are introduced, or their meaning changes, they will automatically be updated in the system, without the need for the taxonomy to be manually updated. An example is the change in meaning of the term...
Summary: ...uses sophisticated pattern-matching techniques to enable computers to understand information in context. For the first time, a computer can go beyond keywords and meta-data to identify concepts within the text itself to determine which are the most important and to automate the processing of this content,...
Summary: ...sophisticated pattern-matching techniques to enable computers to understand information in context. For the first time, a computer can go beyond keywords and meta-data to identify concepts within the text itself to determine which are the most important and to automate the processing of this content,...
Summary: ...Autonomy NNTP Fetch Technical Brief 0605. Technical Brief NNTP Fetch Overview Autonomy’s software infrastructure uses sophisticated patternmatching techniques to enable computers to understand information in context. For the first time, a computer can go beyond keywords and meta-data to identify concepts...
Summary: ...Autonomy TeleForm. Data Validation Extracted data can be automatically validated using: dictionaries, format checking, database and business systems to increase data accuracy. Document Package Handling Allows multiple levels of association for forms and documents within a batch. Anytime QC Enables image...
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: ...with the same level of intelligence, flexibility and precision as it does unstructured content, preserving complex relationships and automatically correlating relevant content by extracting concepts and entities from all data types. Support for Structured Data IDOL natively offers an array of search,...
Summary: ...taxonomy generation, clustering, eduction, profiling, alerting and retrieval. 3 “The Truth About Computer Assisted Review”: Concept Clusters Workfow Example, Thomson ARMA CLE, June 26, 2012. 4 Gartner in Magic Quadrant for E-Discovery Software, 24 May 2012, also reports, “In 2011, increased emphasis...
Summary: ...other content across the enterprise that is contextually similar to the selected document. This feature can be used to recommend related articles, documents, affinity products or services, or concepts within voice and video mail. Because links are automatically inserted at the time a document is retrieved,...
Summary: ...Virage Security and Surveillance White Paper. Clusters are presented as a JSP-based 3D spectrograph whereby the x-axis represents information over time (enabling users to visualize how clusters develop over a given time period), whilst the y-axis represents the range of concepts defined within the knowledge...
Summary: ...that people search or analyze data using an attribute of the data, such as the date a video was taken, who is in a photo, or whether or not a blog gives a positive view of a product. This requires some form of metadata (data about data) to be tagged to the data item or generated on the fly as the item...
Summary: ...because they can get a more complete view of the customer and overcome channel biases that arise when analyzing a single channel or touchpoint. For instance, analyzing only call recordings creates a bias towards people that are more inclined to call the company rather than self-serve online. These people...
Summary: ...results • Eduction – to automatically obtain metadata, contextual meaning and relationships between different data, without the need to read through each document • Conceptual Retrieval – to find documents that are conceptually relevant, through natural language query, or using a text as example...
Summary: ...bringing meaning to all data, regardless of its location, source or format. With sophisticated functionality and analytics, MBC automates manual operations in real time to offer measurable business value. Delivering the power of MBC into the organization is the heart of Autonomy's infrastructure software:...
Summary: ...simply takes the English concept in the query and matches it to any relevant concepts found in the English content. The results are therefore in English. In this case, if a Spanish query was made you would not get any results as the terms in IDOl server™ are in English with no Spanish concepts to match....
Summary: ...before EAS) and the savings realized “After Archiving Solution” (after EAS), we will provide an example ROI calculation to tie both components together and put real dollar figures to the savings. The following example analyzes the ROI achieved in a 5,000-mailbox organization running in a Microsoft...
Summary: ...patterns that naturally occur in text, voice or video files based on the usage and frequency of terms that correspond to specific concepts. This enables IDOL to build a precise probabilistic map of the different concepts held within a piece of data. Using this concept map, IDOL can work out the conceptual...
Summary: ...of the same concept having the same conceptual meaning within a certain context. For example, “supervisor” and “manager” are sometimes synonymous but sometimes are not. Methods have been developed to obtain meaning from conversations and to make querying more intuitive. They, too, have limitations....
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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