基于文本挖掘驱动图模型的未发现公共知识推理

G. Heo, Keeheon Lee, Min Song
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引用次数: 5

摘要

由于信息技术的发展,出版物的数量呈指数级增长。由于出版物的数量不断增加,要求以自动文本数据处理取代现有的手工文本数据处理的需求急剧增加。大约三十年前,Swanson在文本挖掘的基础上提出了ABC模型[1],作为基于文献的知识发现的一部分,用于寻找新的可能的生物医学假设。以下临床学者证明了ABC模型b[2]可能假设的有效性。这种有效性使得学者们尝试了各种基于文献的知识发现方法[3,4,5]。然而,他们的试验不是完全自动化的,而是自动和手动过程的混合。手工过程需要专家的介入。此外,他们的试验考虑的是单一的视角。即使是涉及网络理论的试验,也难以正确理解概念间关系的整个网络结构以及对该结构的系统解释[6,7]。因此,本研究提出了一种通过将中间概念B扩展为多层次概念来发现各种关系的新方法。采用基于概念间共现和关系实体的基于图的寻径方法,系统地分析和研究了总路径中源节点和目标节点两个概念之间的关系。为了分析我们的研究,我们将基线设置为Swanson[8]的工作结果。这项工作提出雷诺氏病和鱼油之间的中间概念或术语,如血液粘度,血小板聚集性和血管收缩。我们将我们的中间概念的结果与Swanson的这些中间概念进行了比较。本研究不仅通过基于图的路径干扰发现生物医学文献中概念之间有意义的关系,而且能够产生可行的新假设,为基于文献的发现提供了独特的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model
Due to the recent development of Information Technology, the number of publications is increasing exponentially. In response to the increasing number of publications, there has been a sharp surge in the demand for replacing the existing manual text data processing by an automatic text data processing. Swanson proposed ABC model [1] on the top of text mining as a part of literature-based knowledge discovery for finding new possible biomedical hypotheses about three decades ago. The following clinical scholars proved the effectiveness of the possible hypotheses found by ABC model [2]. Such effectiveness let scholars try various literature-based knowledge discovery approaches [3, 4, 5]. However, their trials are not fully automated but hybrids of automatic and manual processes. The manual process requires the intervention of experts. In addition, their trials consider a single perspective. Even trials involving network theory have difficulties in mal-understanding the entire network structure of the relationships among concepts and the systematic interpretation on the structure [6, 7]. Thus, this study proposes a novel approach to discover various relationships by extending the intermediate concept B to a multi-leveled concept. By applying a graph-based path finding method based on co-occurrence and the relational entities among concepts, we attempt to systematically analyze and investigate the relationships between two concepts of a source node and a target node in the total paths. For the analysis of our study, we set our baseline as the result of Swanson [8]'s work. This work suggested the intermediate concept or terms between Raynaud's disease and fish oils as blood viscosity, platelet aggregability, and vasconstriction. We compared our results of intermediate concepts with these intermediate concepts of Swanson's. This study provides distinct perspectives for literature-based discovery by not only discovering the meaningful relationship among concepts in biomedical literature through graph-based path interference but also being able to generate feasible new hypotheses.
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