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: ...top of the result set. IDOL’s ability to automatically categorize and correlate knowledge assets based on concepts ensures that users can quickly identify tacit patterns and relationships between documents belonging to different clients and matters. Using IUS, the firm was able to roll out an innovative...
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: ...monitoring data warehouse • Monitors millions of network devices to ensure quality of service and accuracy of capacity planning • Inserts 46,000 new rows of SNMP data per second 24x7 (5.5TB/year) • Sub-second query performance • Accessed via Hyperion and Corda BI tools • Runs on a cluster of...
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: ...Vertica Case Study: Glassbeam. The Vertica Solution At a Glance The Customer www.glassbeam.com The Industry Manufacturing The Application • First software-as-a-service (SaaS) application for analyzing product operational data • Achieved up to 1000X improvement in query speed with one-tenth of the...
Summary: ...teams, including property personnel and our own internal design studio. By syndicating assets and enhancing collaboration across multiple channels, we can realize new synergies and realize even greater value from our investments,” says Mohn. Solution Overview/Driving Growth with Virage MediaBin Virage...
Summary: ...demands were overwhelming the capacity of LogMatrix's data warehouse, which was based on MySQL. Customers’ IT environments were generating millions and sometimes billions of records per day. In addition to needing to store and analyze more data, customers wanted to keep the data longer – sometimes...
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: ...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: ...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: ...system and impending upgrades. A key advantage that VUMC realized from the deployment of the archiving solution was the flexibility to configure different policies for archiving. If employees leave the hospital, then a manual process is initiated on the archive to purge their email files. Archives are...
Summary: ...system and impending upgrades. A key advantage that VUMC realized from the deployment of the archiving solution was the flexibility to configure different policies for archiving. If employees leave the hospital, then a manual process is initiated on the archive to purge their email files. Archives are...
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: ...description or Boolean expression. Agents can be trained or re-trained by example, simply by being shown a document, video, or verbal conversation that matches a user’s interests, and can learn the concepts within the example and define itself accordingly.
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Summary: ...data universe by custodian, keywords, or other Boolean queries of their choice. Faceted Search – Using innovative, meta data-based faceted search, counsel can “slice and dice” large data sets in real time to easily identify and analyze meta data-based search “facets” covering email domains,...
Summary: ...lies the Intelligent Data Operating Layer (IDOL). Using complex pattern-matching algorithms and probabilistic modeling, IDOL forms a conceptual and contextual understanding of all content in an enterprise, indexing and automatically analyzing any piece of information from over 1,000 different content...
Summary: ...relevant information undiscovered. Autonomy is the acknowledged leader in the rapidly growing area of Meaning Based Computing (MBC). MBC refers to the ability to form an understanding of content and recognize the relationships that exist within it. MBC extends far beyond traditional keyword searching...
Summary: ...For instance, an airline can leverage IDOL SPE to improve the online customer experience and increase sales. A customer searching for a flight from New York to San Francisco at a date and time when all flights are sold out will automatically be offered an alternative airport such as Oakland or San Jose,...
Summary: ...work orders in Manufacturing or the invoices in Accounting, more than 80% of all business documents and forms are still processed manually today. Autonomy TeleForm is the only solution to combine world-class information capture with Meaning-Based Computing (MBC) technology, successfully integrating people,...
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...
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: ...a new search result based on that idea. Eduction IDOL automatically extracts entities for parametric filtering. When the search result is displayed, users can easily drag-and-drop different parameters to combine facets, remove facets, or re-order facets. No administrative involvement is required. The...
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: ...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: ...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: ...correlations: Understanding and analyzing demographic data such as age, income, and home ownership status of millions of individual users cannot always be done at an aggregate level. Specifying groups of individuals on the fly, based on the detailed records allows for greater insight. In Figure 2, it’s...
Summary: ...Scalable Semantic Web Data Management Using Vertica.... If property tables are made narrow, with few property columns that are highly correlated in their value definition, the average value density of the table increases and the table is less sparse. Unfortunately, the likelihood of any particular query...
Summary: ...query both structured and unstructured content using SQL. 3. BI on search. Here, search vendors index both structured and unstructured data, enabling users to explore 360-degree relationships in the data using keyword search and faceted navigation. The tools typically parse entities and concepts from...
Summary: ...This requires some form of metadata (data about data) to be tagged to the data item or generated on the fly as the item is saved. If no such metadata exists, users will have difficulty finding it or may not be able to find it at all. This is not an easy issue to solve without human involvement. For example,...
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: ...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 similarities between concepts contained in other pieces of data and return...
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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