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Social Architecture for Identifying Experts

IP.com Disclosure Number: IPCOM000199671D
Publication Date: 2010-Sep-14
Document File: 4 page(s) / 28K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a social architecture to automatically and dynamically identify experts on a subject through Web-based content. The method uses a base default module and one-to-many expert identification modules that users can select by either defining their own module rules or by selecting from community-based modules available on the Internet.

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Social Architecture for Identifying Experts

With the abundance of information and sources available on the Internet, users often find it difficult to discern which sources are most accurate and reliable.

The disclosed solution is a process which provides the user with a ranked list of experts that match a query. The resulting list of experts is ordered with the highest ranking shown first, and the expert ranking is determined by the average and frequency of confidence ratings for an expert within a module and between modules, as specified by the user.

The invention is a social architecture to automatically and dynamically identify experts on a subject through Web-based content. The invention enables users to find an expert using extendible rules applied to Web content and enables the greater community to define rules on how to locate, rate, and contact the expert. Users have the option to limit the search for experts to a specific community or across the Internet. A confidence index also helps a user focus on the set of key experts.

The method uses a base default module and one-to-many expert identification modules that users select by either defining their own module rules or by selecting from community-based modules available on the Internet.

This architecture is run as a standalone application but, preferably, it uses a plug-in to enable user to run it from a Web application, such as a Web browser, as well as provide storage for preferences, module customization, and user defined values (e.g., the list of expert modules and how to transform and format report information).

The solution consists of expert identification modules. Each module contains a set of attributes, which may include:

• Module name

• Author and author contact information

• Timestamp created

• Timestamp updated

• Source URL (where the latest version of the module is located)

• Content domains checked (scope of URLs checked by the module)

• Geography

• Cryptographic signature and certificate information to verify content source

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(optional)

• Original ranking algorithm

• User updated ranking modification (optional)

• Process for identifying experts

Users typically copy the expert modules to their architecture plug-in; the source URL in the selected modules provides a way for the user to check for updates to the modules. Although there may be a central directory of all available expert modules, the modules are not stored in a single repository; they are constructed and available within the Internet community.

The geography defaults to worldwide, but the system allows for customization in order to identify a geographical location for the expert search.

The default base module could consist of a check of the query values passed to it through one or more user-specified source, such as a search engine. The expert modules provide more specific and relevant results to users, but the default module is available to help locate experts t...