期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2014
卷号：4
期号：1
页码：1
DOI：10.5121/ijdkp.2014.4101
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper describes the Collective Experience Engine (CEE), a system for indexing Experiential-Knowledge about Web knowledge-sources (websites), and performing relative-experience calculationsbetween participants of the CEE. The CEE provides an in-browser interface to query the collectiveexperience of others participating in the CEE. This interface accepts a list of URLs, to which the CEE addsadditional information based on the Queryee's previously indexed Experiential-Knowledge. The core of theCEE is its Experiential-Context Conversation (ECConversation) functionality, whereby an collection of aperson’s Web Experiential-Knowledge can be utilized to allow a real-world conversation-like exchange ofinformation to take place, including adjusting information-flow based on the Queryee's experientialbackground and knowledge, and providing additional experientially-related knowledge integrated into theanswer from multiple selected 'experience donors'. A relative-experience calculation ensures thatinformation is retrieved only from relative-experts, to ensure sufficient additional information exists, butthat such information isn't too advanced for the Queryee to process. This paper gives an overview of theCEE, and the underlying algorithms and data structures, and describes a system architecture andimplementation details.
关键词：Data Mining; Knowledge Representation; Collaboration; Web Application; Experiential Calculations
