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Search & Retrieval
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Functionality Real-Time Predictive Query | Automatic Query Federation | Device-Specific Answers
Overview
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Automatic Query Federation (AQF)

Autonomy enables users to search across numerous repositories – and even multiple languages – using a single query. Results from all repositories are returned in a single unified results list. Relevance can be normalized across all repositories, enabling users to compare relevance across multiple repositories easily. Users may also choose to keep the original relevance scoring.

Autonomy AQF
Autonomy AQF

Autonomy can perform federated searches across multiple, disparate resources, including:

Federation across the enterprise from desktop, to corporate intranet, to external valuable repositories (FDA data for pharma)
Web federation
Federated queries to other search engines

IDOL federates the query to a subsystem it has identified as the correct specialist based on its conceptual understanding of the query itself. For example, if a user enters a shipment tracking number, IDOL recognizes from the form of the query that the shipping company will be most likely to return the correct result, and federates the query to that system. In this way, unlike alternative approaches, IDOL avoids bombarding all of the systems with the same query – and simply selects the one most likely to return the specialist result. Using the hybrid spider and ant technology, AQF updates what is happening to rapidly changing data and trains itself to use the optimum search technique. For each query, it can identify whether it is better to look in internal applications for data, or whether to search for fresh information and update the index dynamically.

When Spiders Talk to Ants
The information that drives the enterprise comes from an ever-increasing number of sources. Experts estimate that by the end of 2008, 20% of results in new information access projects will be refreshed every time a query is entered. The average worker is dealing with information overload on a daily basis - how to process it, where to locate it and how to derive meaning from it. Increasingly, workers familiar with consumer search technologies expect access to all forms of data, including information from the Internet, and not just static files.
At the moment, most search engines use spiders that navigate an information web and create a basic configuration of the linked documents. By rebuilding the image from scratch at defined intervals, the spider creates a simplified picture of the overall structure of the network it is searching. In between those time intervals, however, the information can easily become outdated and the results returned irrelevant. Spiders are unable to return real-time, dynamic information.
Ant technologies, on the other hand, respond to the current landscape and deal with rapid changes. Real ants do not formulate a conceptual image of the landscape as they explore; they simply relay new discoveries back to the colony, which responds in a dynamic fashion. Software ants behave similarly, in that each ant will travel familiar paths to find the most relevant piece of information. However, in the Internet Age, ants are required to make periodic investigations of relevant enterprise applications to ensure they locate the optimum route and deliver results quickly.
The solution lies in a hybrid of both technologies where the two work together to access and deliver relevant information. Spiders go about their normal tasks, such as monitoring and analyzing information, then relay the information to an ant. When something changes, ants learn from the variation and can pass it along in real-time. Variations allow ants to adapt and optimize the way in which information is gathered. Systems react instantly because updates are reported immediately and new paths are dynamically created.
Further Reference: HTML Icon IDOL Federator

This is a selection of our forthcoming events, please visit our seminars page for more information.

Automatic Hyperlinks provided by IDOL Server 7

This is a small selection of the Autonomy case studies available, please visit our publications site at http://publications.autonomy.com/ for more information.

Automatic Hyperlinks provided by IDOL Server 7

Functionality Real-Time Predictive Query | Automatic Query Federation | Device-Specific Answers
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