Issue No. 09 - Sept. (2017 vol. 29)
Binxing Fang , Key Laboratory of Trustworthy Distributed Computing and Services, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China
Yan Jia , School of Computer Science, National University of Defense Technology, Changsha, China
Xiaoyong Li , Key Laboratory of Trustworthy Distributed Computing and Services, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China
Aiping Li , School of Computer Science, National University of Defense Technology, Changsha, China
Xindong Wu , School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA
With the rapid development of big data analytics, mobile computing, Internet of Things, cloud computing, and social networking, cyberspace has expanded to a cross-fused and ubiquitous space made up of human beings, things, and information. Internet applications have evolved from Web 1.0 to Web 2.0 and Web 3.0, and web information has seen an explosive growth, which is strongly promoting the advent of a global era of big data. In this ubiquitous cyberspace, traditional search engines can no longer fully satisfy the evolving needs of various types of users. Therefore, search engines must make completely innovative, revolutionary changes for the next generation of search, which is referred to as “big search”. This paper first studies the development needs of big search. Then, big search is defined, and the 5S properties (Sourcing, Sensing, Synthesizing, Solution, and Security) of big search, which are different from those of traditional search engines, are elaborated. Also, the paper provides a system architecture for big search, explores the key technologies that support the 5S properties, and describes potential application fields of big search technology. Finally, the research opportunities of big search are discussed.
Search engines, Cyberspace, Big Data, Sensors, Web 2.0, Social network services
B. Fang, Y. Jia, X. Li, A. Li and X. Wu, "Big Search in Cyberspace," in IEEE Transactions on Knowledge & Data Engineering, vol. 29, no. 9, pp. 1793-1805, 2017.