Information filtering/processing

What is data with no order? How do you find a specific paragraph, phrase or word in tons of papers, or in billions of web pages? How do you read an article of 200 pages when you have only 10 minutes? How do you read it from your mobile? All these questions are very relevant when talking about the huge amount of raw data exist today. The "where do I start" question was not left unanswered. Copernic Summarizer is one example to an application that in one click can summarize a document for you. But even summarizing is not enough. We need the context of the data and we want the ability to search for it. Google Desktop Search is one good example that we need to search external and internal data but what is the context of each piece of information we find?! Olive Software scans and manipulates content and stores it in a contextual manner according to definitions that can be modified. The contextual search means you get a paragraph or a story or any other defined part of the document with no need to open the document in its whole. While dealing with bigger scopes, tagging mechanisms for web addresses can provide the personal context of each piece of information we find and to enable better retrieval in the future. In the magic trio of knowledge management we have the data, the content, and the knowledge. The data is the raw information located somewhere, the content is the processed /filtered information and the knowledge is the content that was absorbed to the organization in a form of accessible information backed up by procedures and methodologies. This post summarizes some ways to achieve knowledge or shape this information to content and to knowledge. This subject will be discussed n the future using specific examples that emphasize the use and services in this field.