Natural language processing oriented Web service intelligent agent
A natural language processing and web service technology, applied in the field of semantic web service intelligent agent for natural language processing, can solve problems such as dependence, unsatisfactory web service agent, few web service agents, etc.
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Embodiment 1
[0082] The invention is an intelligent agent oriented to natural language processing, and is an important basic component for realizing semantic Web services, and can be widely used in fields such as e-commerce, e-government affairs, and digital enterprises, and is especially suitable for use in information systems based on handheld devices such as mobile phones and PDAs. The intelligent agent for natural language processing specifically includes two parts, namely, the search method for semantic web services for natural language processing and the intelligent agent system for semantic web services for natural language processing.
[0083] see figure 1 , the requester sends a natural language request to the natural language processing-oriented intelligent agent through the intelligent terminal, and the natural language processing-oriented semantic Web service search starts to perform service search. As a semantic Web service search method, see image 3 , including the following...
Embodiment 2
[0093] The semantic web service search method oriented to natural language processing is the same as that in embodiment 1. Based on the above technical solution, further, the information extraction algorithm described in step B includes the following steps:
[0094] B1. Based on the DOM (Document Object Model) of the WSDL file, extract the name attribute of the following tags: definitions, message, part, portType, operation, input, output, service, port; extract the uri attribute capture service of the targetNamespace tag Provider information; extract the element attribute value of the part tag to capture the data structure sent and received by the service;
[0095] B2. According to the WSDL file, three operations of copying, sorting and adding are used to save the structural information of the extracted attributes in the file; the above three operations may be performed according to specific circumstances, sometimes all three operations may be required, and sometimes only one ...
Embodiment 3
[0098] The semantic Web service search method oriented to natural language processing is the same as that in Embodiment 1-2. Based on the above technical solution, further, the word clustering algorithm based on vocabulary similarity described in step D includes the following steps:
[0099] D1. Using Word-Net semantic knowledge dictionary to define vocabulary similarity Sim ( t 1 , t 2 ) = α × ( l 1 + l 2 ) ( Dis ( t 1 , ...
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