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Dynamic Aggregation of Contextual Information and Collaborative Practices over Keywords within a Content in an Application Window

IP.com Disclosure Number: IPCOM000198784D
Publication Date: 2010-Aug-16
Document File: 4 page(s) / 25K

Publishing Venue

The IP.com Prior Art Database


Disclosed is a method for applying tags from the original content of a document, open in a desktop application or a browser window, to a system for matching tag clouds within data repositories in order to provide the user with access to a variety of information sources, including web-based collaborative practices, about a topic by simply hovering the cursor over a key word.

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Dynamic Aggregation of Contextual Information and Collaborative Practices over Keywords within a Content in an Application Window

In a typical enterprise, users work with information which resides in multiple repositories -- from a local file system or enterprise database/mail to evolving enterprise collaborative products, as well as web-based social networks. The various contents generated by multiple users are categorized based on tags (a popular Web 2.0 practice), which facilitates easy detection of contextual information from various repositories.

Whenever users browse web pages or read content from desktop applications, the content contains several keywords/terms which establish discrete contexts and reflect the user's interests; they are likely to return to the information repositories for similar information.

In the current market, there is an opportunity to utilize these context clues. A term, such as "Global warming," in a document can be linked with all active enterprise communities, blogs and wikis based on the context. This allows a context-based method for the user to be able to compile collaborative information (stored in various enterprise products OR local file systems) and perform collaborative practices such as chatting with an expert, emailing a colleague, or posting to an associated community or blog. So users gain access to all the contextual information trapped in various enterprise repositories staying within the original content.

Current methodology does not allow easy detection of all contextual collaborative information/practices within the enterprise, leaving gaps in the information and community activity accessible to the user. To access as much information as possible, users often open various collaborative applications in separate application windows and by perform searches within the applications. This manual process is inefficient and disrupts the seamless integration of contextual information and collaborative practices.

This disclosure describes a method for facilitating the seamless integration of original content with the information from various socializing networks and local repositories, including collaborative information and practices. The system retrieves contextual information and enables collaborative practices regarding the original content. The user views information and collaborative practices from an open desktop application window (e.g., a browser or Enterprise office application windows such as Microsoft word etc.). The system maps the content in the open application window with tags (in the tag cloud) maintained in various enterprise repositories - such as social software applications. The system highlights appropriate words from the original content that match the tags in the tag cloud. When the user hovers over the highlighted words, the system retrieves contextual information from enterprise repositories and lays it over the content. The engine also provides users to post conte...