Browse Prior Art Database

Self Assembling Hierarchical Index for P2P Network Disclosure Number: IPCOM000015440D
Original Publication Date: 2002-Jun-13
Included in the Prior Art Database: 2003-Jun-20

Publishing Venue



Self Assembling Hierarchical Index for P2P Network Self Assembling Hierarchical Index for P2P Network This concept solves the problem of how to build and maintain a distributed index of certified or authorized documents, files, data, programs etc. contained in a distributed point-to-point (P2P) network or Web. In the following description we define the document(s), files, data, programs, etc. as simply the 'document'. Documents may be copied, edited, and moved from place to place and different versions created and stored on multiple servers. It is not a replacement for existing indices or existing search technology; it is an enhancement to enable distributed indexing such as P2P networks to become more prevalent. Problems Solved: One of the biggest problems on a P2P network is validating the quality of data generated by an informal and fluid collection of information sources on a network. Nodes or servers come and go. Files can be downloaded or received from various sources but it is problematic to assess the quality of this data or information. This invention is motivated by the notion of the "primary source" or "original source" sought out by scholars when studying history. Anyone can generate information, expand on the work of a predecessor, modify a document, or create a new "original source". This invention uses voluntary collaboration (opt in) to create with every document and child document a real time index and history that records the history of that document and all children at the time of the documents creation. Furthermore, the history or index points back to the original primary source of the document. This root document contains an always up to date tiered taxonomy of the document and all of its children. A search engine which looks for this history, along with the related document, can then return the description of a document's history adding great value to those looking not just for a match to a query, but some information about the validity or origins of the information being retrieved.