NLP is a form of human-to-computer interaction where the elements of human language, be it spoken or written, are formalized so that a computer can perform value-adding tasks based on that interaction. Autonomy's approach differs from standard NLP use in that it is still able to harness the power of IDOL's conceptual analysis.
Autonomy's NLP technology functions independently of linguistic restraints, giving Autonomy's software universal application possibilities anywhere in the world.
Key Benefits:
Automatically leverages human interaction
Dynamic learning ability
Understands slang, industry specific jargon, sentiment and topics
Autonomy engages the users in many different conversation paths to help them disambiguate their result sets. By clustering the results according to concepts and parameters, and accessing the users' transactional and profile information to personalize the categorization, search results are meaningfully organized for quick filtering and decision making. Users can look to community insight to help find information, as well as rely on Autonomy's conceptual analytics to process the search results and continue the dialogue. In addition to offering all legacy tools like "Did you mean...?" to correct spelling errors, providing query suggestions as the user is typing into the search box, and offering facets according to content source type, Autonomy enhances the search experience using features such as:
Autonomy automatically produces a brief summary of each piece of content that is returned for a query. It generates three different types of summaries:
The conceptual summary displays a few sentences from the document that contain the most salient concepts (these sentences can be from different parts of the result document)
The contextual summary relates to the context of the original query - allowing the most applicable, dynamic summary to be provided in the results of a given query
The simple summary comprises a few sentences of the result documents
Instead of merely returning those users whose profiles indicate knowledge in the subject that was queried, AQCG returns and automatically clusters into communities those users who are most relevant to the queried person. For instance, if a user queried the name of the company's VP of Sales and he/she had been in frequent communication with client Z's finance and sales organizations at the time, two of the clusters that may appear as a result of the query would be employees in Z's finance department and the employees in Z's sales department, automatically organized into their respective communities.
Users can modify the relevancy algorithm used for their search at the time of query without any IT help
IDOL can incorporate all of the users' aforementioned enterprise 2.0 activities (i.e. social tagging, bookmarking) and users' content consumption behavior to improve and personalize relevancy. Expert behavior will have greater influence on the calculation by default. Documents they author, rank highly or have consumed recently will be positively affected. Since IDOL can monitor user's desktop activity, it can form user profiles of their current interests and expertise with great precision. IDOL can also adapt ranking of results so that documents that are consumed with great frequency following a certain query will be placed higher for subsequent queries relating to that same topic. This ranking can be adapted based on the behavior of the user, group or the entire enterprise community.
Business users and administrators are empowered to adjust the influence that each of these activities has on the relevance calculation, but users themselves can also individually adjust the influence of these factors per query. They can choose to search and rank documents based purely on IDOL's conceptual relevance calculation, on what the community deems relevant, on their implicit and explicit profiles, or some combination of the three.
IDOL automatically extracts entities for parametric filtering and navigation. A large set of entities are supported out-of-the-box, including SSN, credit card numbers, ticker symbols, places and names. When a user performs a query, results can be organized in a parametric hierarchy for guided navigation (parameters displayed to the user are adjustable by the business user and the administrator using the Autonomy Business Console). The parameters can also be derived from databases and other structured information, which in turn can be automatically merged with facets from unstructured content.
More importantly, users can easily merge multiple facets together to adjust their search criteria via drag-and-drop. There is no administrative involvement required to re-order, combine or remove facets during a search. For instance, if a search for "global warming" returned person facets (including Al Gore) and place facets (including Kyoto), users can simply drag the Al Gore parameter into the Kyoto parameter so that the newly formed facet of Al Gore + Kyoto will include documents that contain both parameters. In this way, users can determine the navigation hierarchy for ease of search.
By removing the administrative overhead of maintaining a hierarchy, organizations not only eliminate the costly exercise of developing a taxonomy, but also increase the likelihood of adoption since the hierarchy is dictated by the users themselves.
Following a query, IDOL displays all the prominent concepts extracted from each document in the result set. These "ideas" are derived from analyzing the entire text of each document and are not dependent on subjective metatags. The larger and bolder "ideas" indicate the appearance of that concept in many documents in the results list. The user can use the ideas cloud to focus his/her search even further. Clicking on an idea will refresh the results list with a more specific context that contains that concept.
In their respective profiles, users can define concepts, terms, rules, etc. that represent information of their interest. These entities will get consistently highlighted in the retrieval result set, together with the default IDOL highlighting for the executed query.
IDOL can certainly suggest queries for the user if they misspell the query text. However, IDOL goes beyond correcting mistyping and provides query guidance for correctly spelled queries that still return zero results. IDOL suggests similar, yet alternate concepts they can query, which are organized in a hierarchic cluster.
The Carousel Search user interface allows users to easily scroll through the results and quickly preview each content to gauge their relevancy. Moreover, the AQG function underneath the search query allows users to further refine their search results. The user has the option of clicking on the Open button at the bottom center of the window to also display search results in a conventional list alongside the carousel.
The Carousel Search user interface
This UI screenshot shows many of the powerful IDOL features interfaced following a search, including automatic hyperlinking, community feedback, ideas cloud, entity extraction and cluster tree
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: ...with pre-defined folders for trading documentation, financials, due diligence reports, correspondence, and other content. Items dragged and dropped into a folder are automatically assigned the appropriate metadata, aiding search while eliminating the inefficiency and errors of manual profiling. SPECTRA...
Summary: ...Portal-in-a-Box™ ActiveKnowledge™ Collaboration & Expertise Networks Functionality Retrieval Automatic Hyperlinking Channels Personalization Agents Profiling Community Alert ActiveKnowledge™ Language English “Autonomy’s products bring order to information chaos, but in an economic and user responsive...
Summary: ...Bose. “It’s been in production now for a little less than a year, and we haven’t had any outages. We can take a node off to do maintenance on the box and the cluster still stays up, so we haven’t had any downtime.” “Our first proof-ofconcept with Vertica was very encouraging. When we loaded...
Summary: ...FileSite has simplified training for new employees already familiar with Outlook—“They pick it up quickly,” Smith says. To ensure accurate filing, our firm takes advantage of an auto-provisioning process that moves the documents within a workspace into the correct subfolder. “Even if people file...
Summary: ...S.Horowitz & Co Case Study. Case Study Industry Legal Challenges ■ Ability to easily fi le e-mails was less convenient ■ Matter-centric fi ling was difficult to use ■ Records management tools made it diffi cult for user adoption Benefits ■ Drag-and-drop e-mail fi ling eliminates manual profiles...
Summary: ...and feel of the Outlook system through tight desktop integration. All the documents relating to a matter could be held securely in one place, and information moved around by simple drag-and-drop procedures. Automated profiling ensured that any content could be correctly captured, identified, and filed...
Summary: ...risks associated with unmanaged or misfiled content. Integration with the latest version of Microsoft Office lets people drag-and-drop items directly into electronic matter files and other WorkSite workspaces; automated profiling aids search and prevents filing errors and inconsistencies. “Our lawyers...
Summary: ...Says O’Hara, “Interwoven provides us with a single, centrally-managed, matter fle to store pertinent e-mails and documents.” Desktop integration via FileSite allows the frm to drag and drop e-mails and attachments directly from Outlook into the relevant matter fle within WorkSite, for easy search...
Summary: ...during queries, which further enhances query speed. “The people at Vertica really wedded themselves to our success. We’ve become really one team, and it’s obviously made an enormous difference to the success of the project. In concept, in execution, it’s been a delight working with Vertica.”...
Summary: ...case, articles are hierarchically organized into a taxonomy with four top-level categories—subject, geography, company, and personal names—and as many as 2,000 subcategories underneath each of the main categories. “We are currently running the K2 business rules on all of our articles from all of...
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...
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: ...how clusters develop over a given time period), whilst the y-axis represents the range of concepts defined within the knowledge base. Moreover, the spectrograph is able to display hot and breaking news in the same instance. The importance of clusters over time can be seen through the change of color and...
Summary: ...Autonomy IDOL Server 7. Automatic Clustering Organizations can analyze large sets of documents and even user profiles and automatically identify inherent themes or information clusters. IDOL even clusters the unstructured content exchanged in email, telephone conversations and instant messages. IDOL uses...
Summary: ...Hyperlinking IDOL Retina automatically finds related pieces of information, regardless of their format. The concepts in a document can be linked automatically to those in another file. They can also be linked to related concepts within video or voice mail. Hyperlinks are generated in real-time at the...
Summary: ...the sensitivity of sentiment analysis. Automatic Clustering – Organizations can analyze large sets of documents and even user profiles and automatically identify inherent themes or information clusters. IDOL even clusters the unstructured content exchanged in email, telephone conversations and instant...
Summary: ...Autonomy Virage Electronic Point of Sale Monitoring Product Brief. • Date • Product • Time • Price • Till number • Pre-defined customizable parameters An intuitive interface using drag and drop-down features ensures ease of use with minimal additional training. Transaction data can be overlaid...
Summary: ...can be retrieved using event, time or date parameters. Bookmarks – bookmarks can be created manually or automatically to locate more easily important events. Drag and Drop Customization – Allows users to change camera views effortlessly. Exporting – To printer, external driver, or DVD for archiving...
Summary: ...users with contextually relevant results, automatic categorization, automatic hyperlinking, faceted navigation, audio and video search to provide the most powerful, out of the box search experience. Product Brief Autonomy iManage Universal Search The IDOL platform is highly secure and is used by the largest...
Summary: ...users with contextually relevant results, automatic categorization, automatic hyperlinking, faceted navigation, audio and video search to provide the most powerful, out of the box search experience. Product Brief Autonomy iManage Universal Search The IDOL platform is highly secure and is used by the largest...
Summary: ...social communities, create a relationship map of contact points and determine the relation between individuals. Automated, Intelligent Clusters Autonomy Investigator & ECA uses Meaning Based Computing to automatically cluster and organize data into an interactive, color-coded cluster model. Clusters can...
Summary: ...populates collections with assets that meet a given criteria. A collection or group of fixed assets can easily be created through a drag-and-drop interface. Collections provide an optimized means of asset organization without requiring the knowledge of a specific folder hierarchy to locate your assets....
Summary: ...for increasing online traffic, to dynamically generating taxonomy and automating the tagging of user generated content. These capabilities include automated keyword analysis and review, dynamic metadata analysis, automated keyword recommendation, and dynamic entity extraction and association. TeamSite's...
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: ...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: ...clustering the results along the way • Directed Parametric Navigation – the search through catalogs or databases is made effectively hassle-free through the possibility of refining the parameters and combining structured and unstructured content • Profiling - the portal administrators have a clear...
Summary: ...with variable font size and boldness to represent the number of results that include that concept • Cluster tree: Displays hierarchy of relevant entities (concepts or metadata) extracted from the results list; it displays the count of documents that contain that entity • Automatic summarization of...
Summary: ...without the user being needlessly diverted from their work in progress to perform a search or retrieval operation ? Automatic hyperlinking Completely removing the requirement to manually insert hyperlinks into content, Autonomy IDOL generates hyperlinks in real-time to all types of data, ensuring they...
Summary: ...in an enterprise, automatically analyzing any piece of information from over 1,000 different content formats. IDOL offers over 500 different functions, which can be performed on any digital content, including hyperlinking, agents, summarization, taxonomy generation, clustering, eduction, profiling, alerting...
Summary: ...itself. ? Clustering Autonomy's automatic clustering capabilities can take large sets of document data or even user-profile information and automatically identify the main set of information clusters (themes) inherent within your information assets. 1.2.3 Automatic personalization ? Automatic profiling...
Summary: ...the text of a document or a court filing. These extracted entities can be used as additional query filters or to quickly find other documents that use the same citation or refer to the same judge. Also once extracted, users can setup email alerts that notify them of any event related to that entity.
...
Summary: ...White Paper 9 Automatic Clustering With the help of Autonomy’s automatic clustering capabilities, organizations can analyze large sets of documents or even user profiles and automatically identify inherent themes or information clusters. A good metaphor to understand what clustering can do is a filing...
Summary: ...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 base (see figure 15). 23 Figure 15 24 Automatic Profiling Automatic Profiling can be used by organizations to accurately understand individuals’...
Summary: ...an ongoing concern, they may schedule the view to refresh on a regular basis. They may even modify the view to make it more easily consumable by casual users by hiding certain fields or functionality, or by redesigning the display to mimic the look and feel of other reports or dashboards in the company....
Summary: ...E-mail Management: The New Imperative for Law Firms and Corporate Legal Departments. Ironically, although e-mail serves as the default collaborative platform for many companies, it can actually inhibit collaboration. Designed for one-to-one communication, e-mail used for many-to-many collaborative discussions...
Summary: ...1000 file formats, including rich media Enables single point of search for all enterprise information from within SharePoint Offers more than 500 advanced functions, including automatic clustering, hyperlinking, expertise location and implicit profiling, as SharePoint web parts Search rich media as easily...
This is a small selection of the Autonomy White Papers available, please visit our publications site at http://publications.autonomy.com/ for more information.
Related Case Studies
top of page
RSS Feeds
