Due to its openness and timeliness,the S&T Web information has become one of the most important resources for strategic intelligence monitoring.However,since S&T Web information is unstructured and lack of sem...Due to its openness and timeliness,the S&T Web information has become one of the most important resources for strategic intelligence monitoring.However,since S&T Web information is unstructured and lack of semantic description,it is a challenge to transfer the unstructured Web information into structured semantic knowledge.To solve this problem,the authors propose a method for structural monitoring of the S&T Web information resources.By using the knowledge extraction technologies,the authors firstly extract the knowledge objects as well as the relationship between objects from the Web resources and convert the free text into calculable structured knowledge units.Based on those extracted structured information,the authors build various kinds of monitoring models to realize research profiling for specific research fields.Based on those ideas,the authors implement the automated Web information monitoring system suitable for research field monitoring.A research profiling experiment also is carried out based on the semantic resources which are converted from the monitored Web data.展开更多
基金an outcome of the project "The computing method of subject centrality of texts based on language network"(No.61075047) supported by National Natural Science Foundation of China
文摘Due to its openness and timeliness,the S&T Web information has become one of the most important resources for strategic intelligence monitoring.However,since S&T Web information is unstructured and lack of semantic description,it is a challenge to transfer the unstructured Web information into structured semantic knowledge.To solve this problem,the authors propose a method for structural monitoring of the S&T Web information resources.By using the knowledge extraction technologies,the authors firstly extract the knowledge objects as well as the relationship between objects from the Web resources and convert the free text into calculable structured knowledge units.Based on those extracted structured information,the authors build various kinds of monitoring models to realize research profiling for specific research fields.Based on those ideas,the authors implement the automated Web information monitoring system suitable for research field monitoring.A research profiling experiment also is carried out based on the semantic resources which are converted from the monitored Web data.
