
Research Article
Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy
@INPROCEEDINGS{10.1007/978-3-030-00916-8_34, author={Yucong Duan and Lixu Shao and Xiaobing Sun and Lizhen Cui and Donghai Zhu and Zhengyang Song}, title={Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings}, proceedings_a={COLLABORATECOM}, year={2018}, month={10}, keywords={Bidirectional search Knowledge graph Resource modeling Dynamic equilibrium}, doi={10.1007/978-3-030-00916-8_34} }
- Yucong Duan
Lixu Shao
Xiaobing Sun
Lizhen Cui
Donghai Zhu
Zhengyang Song
Year: 2018
Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-00916-8_34
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.