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Technique for dynamic tagging of content

IP.com Disclosure Number: IPCOM000234687D
Publication Date: 2014-Jan-28
Document File: 3 page(s) / 123K

Publishing Venue

The IP.com Prior Art Database


With the increase in information volume, source and content it is important to narrow down the content for faster and meaningful view. The proposed technique focuses on building the context from the user/organization perspective for a better consumption, navigation and usage. The technique proposed is to organize data in such a way that its easily discoverable and consumeable from a user's context, domain perspective. The information can be used by intelligence organizations, police, universities as part of study, stragegy teams. Each one has different perspective of the same. With the technique proposed, same data can be tagged with universal tags and user specific tags for easy information discovery and consumption.

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Page 01 of 3

Technique for dynamic tagging of content

Background: Open source information from Web, Chats etc., alternatively referred as Open source intelligence provides valuable insights. Organizations can leverage this information for their product or service offerings, planning and decision making processes. However, information that's available on the internet is hidden in a very cryptic and an unstructured way. It is a time consuming process to dig into the actual information the user is interested in and then harvest this information. For example, if the user is interested in Maoist movement, and then searches for the information using a popular search link (Ex: Google/ yahoo etc.) (s)he is presented with a huge no of information related to the same. This information is mostly presented based on tags associated with the content. The user needs to manually browse the content one by one sometimes spanning across multiple pages to get what exactly he is looking for. This is a highly laborious activity and needs lots of effort.

The key pain points observed in this area are

Un-availability of information in a structured format for better analysis and viewing

Presence of noise around the knowledge

Time taken to retrieve the actual content is high

Example: When we want to search for Maoist movement using a popular search engine like google, we have many links. The amount of open source information retrieved is huge. Few screenshots of the same is shown below.


Page 02 of 3

To address the above issue, we propose the technique for "Dynamic tagging of the information with the context by the system and then segregation of Information based on the context ".

Subjects and contexts are different terminologies. The technique proposed by us is around bringing these two together for better information consumption by the user.

The core concept of the proposed technique focuses on collecting information in a way so that as the information gets collected , context is automatically built and gets expanded as the information collection grows. Information gets tagged with context and irrelevant information gets ignored automatically .

The key aspects of the proposed technique are

1) System based tagging of information - Intelligence need to be built into the system to tag the content appropriately.

2) Segregation of information from a user perspective based on the user behavior and system tagging.- This is different than personalization as incase of personalization the user behavior or choices are stored in the system and then the system represents or reorders / prioritizes the info. where as here what we are saying is the system tags info...