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System and method for change detection of information or type of data

System and method for change detection of information or type of data description/claims

This application claims the benefit of U.S. Application 60/823,478 filed Aug. 24, 2006, which application is fully incorporated herein by reference.

1. Field of the Invention

This invention relates generally to systems and methods for determining how information from any information system changes over time, and more particularly, determining how information from the internet changes over time.

2. Description of the Related Art

Technology development has centered around the Internet for the past decade, and almost a billion people are currently online. One of the leading developments continues to be information retrieval. Leading search engines let users search through 10's of if not 100's of billions of documents and return results judged by some metric of relevance. The leading commercial search engines have become very good at matching keywords and analyzing link structure to determine how relevant a result is to a user. The online advertising business has also steered the technology away from some of the more traditional academic foci for information retrieval and focused on how to monetize keywords.

Today the criteria for a good search engine is relevance. Relevance is a fuzzy word and does not let you know if a document has a negative or positive connotation or if that document is reaching more or less people. Since the beginning of civilization, people have made decisions based on how good or bad something is and based on how many people are aware of the information. It seems odd that such critical information would be missing from search engines, but this is a result of commercial focus on keywords.

Precision, recall, fallout, accuracy and error are all metrics used to determine how well an information retrieval system works. Initially search engines would return based just on words, then on citation ranking and currently are focusing on ranking algorithms. All of these approaches have used the five metrics of precision, recall, fallout, accuracy and error with a focus on a single independent variable—keywords. By using new independent variables, a much richer understanding of information is available.

There is a need for systems and methods that compute changes in information over time. There is a further need for systems and methods that provide a computable way to globally determine any change in any type of data.

Accordingly, an object of the present invention is to provide a system and methods that computes changes in information over time.

Another object of the present invention is to provide systems and methods that accept any input from any system and quantifies its physical or quantum state.

Yet another object of the present invention is to provide systems and methods that determine the state space and its transitive state space shifts for any data.

A further object of the present invention is to provide systems and methods that see any change for any type of data and have a unique view of the series of events that define an object.

These and other objects of the present invention are achieved in a method of determining the how information from any information system changes over time. WebPages A through WebPages Z with nodes A through Z, are located, where A through Z are integers. Timestamp values for each of a node from A through Z are retrieved. Timestamp values from A are subtracted to create a denominator time value. A distance between the nodes A through Z is determined by calculating a number of edges in the digraph to create a numerator value. The numerator value is divided by the distance to provide a velocity value.

In another embodiment of the present invention, a method is provided of determining how information from the internet changes over time. At least a first webpage with a first node and a second webpage with a second node are located. A first timestamp value is retrieved of when the first node was published. A second timestamp value is retrieved of when the second node was published. The second timestamp value is subtracted from the first timestamp value to create a denominator time value. A distance is determined between the first and second nodes. The denominator time value is divided by the distance to provide a velocity value.

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