摘要翻译：
人们必须在一个时间框架内做出重要的决定。因此，必须采用手段或策略来帮助有效的决策。因此，经济情报(EI)已经成为一个领域，以帮助战略和及时的决策在一个组织。在实现这一目标的过程中：对投资于决策过程的智力资源的保护提供更加乐观是必不可少的。这种智力资源只不过是行动者的知识，以及影响决策的各种过程的知识。知识已被认为是提高生产力的战略性经济资源，是任何组织或社区创新的关键。因此，充分管理它并认识到它的时间属性是非常必要的。知识的时间属性是指知识被创建的日期和时间（称为时间戳），以及相关知识之间的持续时间或间隔。本文主要关注以用户为中心的知识管理方法的需求，以及相关时态属性的开发。我们对知识的看法是关于EI中的决策问题项目。我们的假设是，在EI项目的知识开发中，关于时间属性的推理的可能性应该通过从可用的和可重用的知识中为新项目生成有用的推理来促进及时的决策。
---
英文标题：
《Knowledge Management in Economic Intelligence with Reasoning on Temporal
  Attributes》
---
作者：
Bolanle Oladejo (LORIA), Adenike Osofisan (LORIA), Victor Odumuyiwa
  (LORIA)
---
最新提交年份：
2009
---
分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--

---
英文摘要：
  People have to make important decisions within a time frame. Hence, it is imperative to employ means or strategy to aid effective decision making. Consequently, Economic Intelligence (EI) has emerged as a field to aid strategic and timely decision making in an organization. In the course of attaining this goal: it is indispensable to be more optimistic towards provision for conservation of intellectual resource invested into the process of decision making. This intellectual resource is nothing else but the knowledge of the actors as well as that of the various processes for effecting decision making. Knowledge has been recognized as a strategic economic resource for enhancing productivity and a key for innovation in any organization or community. Thus, its adequate management with cognizance of its temporal properties is highly indispensable. Temporal properties of knowledge refer to the date and time (known as timestamp) such knowledge is created as well as the duration or interval between related knowledge. This paper focuses on the needs for a user-centered knowledge management approach as well as exploitation of associated temporal properties. Our perspective of knowledge is with respect to decision-problems projects in EI. Our hypothesis is that the possibility of reasoning about temporal properties in exploitation of knowledge in EI projects should foster timely decision making through generation of useful inferences from available and reusable knowledge for a new project.
---
PDF链接：
https://arxiv.org/pdf/0906.1673