Abstract
Internet resources are non-deterministic, non-guaranteed and ultra-complex. We provide a progressive search approach towards problems with positive and negative tendencies aiming at improving the credibility of resources through multi times progressive searching. Meanwhile, we introduce Knowledge Graph as a resource process architecture to organize resources on the network and analyze the tendency of searchers for retrieving information by semantic analysis. We calculate entropy of resources according to searching times and amount of items of each search to represent the reliability of resources with positive and negative tendencies. Resources with ambiguous tendency and false information will be eliminated during the process of progressive search and quality of searching results will be improved while avoiding dead loop of searching towards infinite and complex problems. We apply the searching strategy to a medical resource processing system that provides high precision medical resource retrieval service for medical workers to verify the feasibility of our approach.
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Acknowledgments
This paper is supported by NSFC under Grant (No.61363007, No. 61662021), NSF of Hainan No. ZDYF2017128 and Hainan University Project (No. hdkytg201708).
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Duan, Y., Shao, L., Sun, X., Cui, L., Zhu, D., Song, Z. (2018). Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_34
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DOI: https://doi.org/10.1007/978-3-030-00916-8_34
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