Earticle

With the arrival of the big data era, it has become a spot for research to evaluate currency of network information so far. This paper proposes a model of network information currency evaluation based on Web semantic extraction method taking Web news as object of study. The author elaborates the method, technology and main functions on every layer of the model in detail, which have been used or completed, and focus on how to extract semantic information efficiently from the contents of Web news, in order to explore a research method for network information currency evaluation. The experimental results show the validity of the model design that plays a very important role in leading network users pay attention to more valuable network information and helping Web site managers build a higher currency Web site.

As the Internet Web services increased, how to find a web service which can meet user's requirements quickly and accurately has become a problem to be solved .Now many kinds of web service methods based on semantic are based IO matching .They used other ways to supplement while semantic matching is failed. However the accuracy of semantic web service discovery based on IO matching purely is not high enough, the Algorithm of semantic web service discovery which is based on constraint extraction and structure analysis is proposed. It is divided into two parts. First part is to carry out the concept of semantic matching based on constraint extraction .Then it uses algorithm based on structure analysis while matching is failed, aiming to assess the structural similarity of the desired vs the retrieved services and the semantic similarity of their identifiers. This article uses owls-tc2.0 as test set to test this method .The experimental results show that this method improves service discovery accuracy effectively.