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Dynamic Weighted documentation paths from social and collaborative knowledge sharing Disclosure Number: IPCOM000231137D
Publication Date: 2013-Sep-30
Document File: 5 page(s) / 137K

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The Prior Art Database


Disclosed is a collaborative knowledge framework that enables users to obtain, organize, and share related content that originates from multiple sources. In addition, the system provides a tool to guide a user to the most relevant next steps from a set of documentation.

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Dynamic Weighted documentation paths from social and collaborative knowledge sharing

Computer software and hardware vendors, as well as other manufacturers and service providers, deliver products to customers. These products are often rich with a variety of features, and often integrate with other products from other vendors. To take advantage of the features of these products, customers must read copious amounts of documentation. Documentation is scattered in many different places and in many formats (e.g., out-of-the-box printed reference material, online references, embedded electronic documents, user forums, etc.). In addition, other users might have knowledge of associated or relevant content, but not a means to share it

Customers spend considerable time traversing documentation across these different sources, and piecing together the relevant documentation. Even after a user pieces the documentation together, it becomes difficult to maintain documentation from a variety of different sources. It is also difficult for customers to see patterns of usage that facilitate or expedite subsequent use.

Existing methods to help users manage product-related documentation include:

• Searchable online Portable Document Files (PDFs), but these only reference the content contained within that document and provide no further assistance to the user for saving the searches or results

• Wikis, which provide a free-form and configurable framework, but content is usually added manually

• Bookmarks or related links embedded in the document, but these are static and do not provide guidance or recommendations for the user as to where to go next or how to find related content not bookmarked or linked

• Locally cached search queries, but these do not capture the sequence of activities that a given user or multiple users take in order to find and compile useful information in a meaningful manner

• Bookmarks of relevant Uniform Resource Locator (URL) links can be stored and organized locally on a computer system through a web browser, but do not capture the search queries or activities that led to the bookmark and cannot be exploited or utilized by multiple users

Customers need a way to organize documentation obtained from various sources, as

well as share the information with teammates in a logical and relevant manner.

The solution is a system and tool that provides a collaborative knowledge framework for users that can be configured to meet the user's exact documentation needs by optimizing paths to relevant information sources. The system dynamically tracks information from multiple users, such as the series of selected web pages, the time spent on each page, and bookmarks saved. It then utilizes a configurable analysis engine to evaluate, weight, and store potential next steps in order to automatically generate suggested searches and related information pop-ups that help the users to find or link to the most relevant information. It also...