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首页> 外文期刊>Procedia Computer Science >A Domain Knowledge Based Method on Active and Focused Information Service for Decision Support within Big Data Environment
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A Domain Knowledge Based Method on Active and Focused Information Service for Decision Support within Big Data Environment

机译：大数据环境下基于领域知识的主动集中信息服务决策支持方法

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摘要

Big Data on Internet contains information valuable for enterprise decision making, but also challenges their traditional customized information service mode. Keyword-based search supplies as a complementary mechanism to discover the required information from Big Data, while its passive service mode and low precision brings down the efficiency of decision making. To solve the problem, a method is proposed by keeping aware of the decision making context, dynamically recognizing information requirement, automatically activating search process, based on domain knowledge previously built reflecting the latent relations between decision task types and the information required. From user view, decision making is not intercepted, and information focused on his current decision task is actively discovered, sent and displayed as support, so as to improve the efficiency.
机译：互联网上的大数据不仅包含对企业决策有用的信息，还挑战了其传统的定制信息服务模式。基于关键字的搜索提供了一种补充机制，可从大数据中发现所需的信息，而其被动服务模式和较低的准确性降低了决策的效率。为了解决该问题，提出了一种方法，该方法基于先前建立的反映决策任务类型和所需信息之间的潜在关系的领域知识，通过了解决策上下文，动态地识别信息需求，自动激活搜索过程。从用户的角度出发，决策不会被截获，而是主动发现，发送和显示专注于其当前决策任务的信息，以提高效率。

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