概念关系发现与创新使能技术（CORDIET）
Concept Relation Discovery and Innovation Enabling Technology (CORDIET)
摘要：
概念关系发现和创新使能技术（CORDIET）是一个从非结构化文本数据中获取新知识的工具箱。CORDIET的核心是C-K理论，它抓住了创新的基本要素。该工具使用形式概念分析（FCA），涌现自组织映射（ESOM）和隐马尔可夫模型（HMM）作为分析过程中的主要工件。用户可以定义时态、文本挖掘和复合属性。文本挖掘属性用于分析文档中的非结构化文本，时态属性使用这些文档的时间戳进行分析。复合属性是基于文本挖掘和时态属性的XML规则。用户可以使用对象聚类规则对对象进行聚类，也可以使用分割规则将数据分割成碎片。这些工件针对高效的数据分析进行了优化; FCA网格和ESOM映射中的对象标签包含一个URL，用户可以单击该URL打开所选文档。
英文摘要：
Concept Relation Discovery and Innovation Enabling Technology (CORDIET), is a toolbox for gaining new knowledge from unstructured text data. At the core of CORDIET is the C-K theory which captures the essential elements of innovation. The tool uses Formal Concept Analysis (FCA), Emergent Self Organizing Maps (ESOM) and Hidden Markov Models (HMM) as main artifacts in the analysis process. The user can define temporal, text mining and compound attributes. The text mining attributes are used to analyze the unstructured text in documents, the temporal attributes use these document's timestamps for analysis. The compound attributes are XML rules based on text mining and temporal attributes. The user can cluster objects with object-cluster rules and can chop the data in pieces with segmentation rules. The artifacts are optimized for efficient data analysis; object labels in the FCA lattice and ESOM map contain an URL on which the user can click to open the selected document.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
