| 摘要 |
A data sharing and indexing system (for the purpose of forming an imarketplace), which is composed of multiple local indexing systems residing on network storage devices. Each (instantiation of the groupware) local storage device runs software for advanced content-based indexing, and each local indexing system forms a node in a peer-to-peer network. The indexing software performs topic-based categorization by means of a higher-order path analysis algorithm, which mimics human intuition by considering both high- and low-order links between data elements. The indexes generated by the software are automatically partitioned into topic indexes. The topical similarity of indexes to each other and to a pre-established set of topic indices is measured using a cross-training algorithm. The peer-to-peer network is implemented by a novel mesh-based, self-healing protocol, providing specialized means for sharing data and topic indexes. The software leverages the index sharing technology to provide content- and metadata-based searching features, as well as automatic recommendations for new content based on similarity to locally owned or licensed content. The system implements user authentication and user-level access control to data and indexes, so that users can transparently manage and share their resources from any location on the network, even when the data for a single user resides on multiple devices. End users drive the software by means of a graphical user interface on any device attached to the network. The interface allows users to control by topic which portions of their index and corresponding data are shared. A method is described for building a marketplace on the network for selling, sharing, and trading indexes. (More detail, higher up)
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