An Ontology-based Hierarchical Sample Clauses

An Ontology-based Hierarchical. P2P Global Service Discovery System Being more deeply tied to ontologies but also being a P2P approach, in [50] we find an architecture for global service discovery that uses ontologies to create logically constructed service classes, while automatically generating an artificially intelligent hierarchical P2P. Its target environment is the Wide Area but is also well suited for Local Area Networks. Any type of service can be defined within this architecture using the OWL ontology. It includes, but is not limited to, event-based services, physical location-based services, and communication, e- commerce, or web services. As in Pastry [35], this approach combines both hierarchical and overlay networks. On the one hand, the hierarchical network is formed by connecting the nodes between the high-level, disjoint services within the service classification while, on the other hand, the overlay network and its routing algorithms are based on CAN [39]. This architecture is shaped by service ontologies that are created by ontology engineers. The ontology engineers are experts of the particular service class and are aware of how best to classify and define properties of that service. However, as users begin to query and register for services, the ontologies may evolve to reflect the social perceptions of a particular concept. Additionally, the queries issued are analyzed to see how the network can dynamically reshape itself to produce the results with greater speed and accuracy of specific queries. The search operation in this architecture works as follows: first, a client queries the infrastructure for the server that manages the type of the service it wants to find. This is performed automatically by using the ontologies to match different search terms with the corresponding server. This server forms part of the overlay network built with CAN, and then the client search will be disseminated through the overlay network to find the description of the desired service. The CAN overlay network is structured by using the classes defined in the ontology, using a different dimension for each group of classes that has a parent in common, while keeping balanced the number of dimensions used with the number of defined classes. Thus, as specified in CAN, the search operation will issue a parallel query in the DHT for each combination of unspecified property values of the searched resource or service, so the more properties are specified, the fewer requests are sent to the overla...
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