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Semantic relationships in health consumer questions and physicians' answers: A basis for representing medical knowledge and for concept exploration interfaces.

机译:消费者健康问题和医生回答中的语义关系:代表医学知识和概念探索界面的基础。

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This dissertation is concerned with the representation of medical knowledge in health consumers' questions and physician-provided answers. It has implications for the design of user interfaces that improve health consumers' ability to define their information problem and understand retrieved results. The underlying semantics of health consumers' questions and physicians' answers were analyzed as a basis for (1) understanding questioning behavior and answering patterns and (2) constructing a frame-based representation system for expressing semantic relationships in health-related questions and answers (or “potential” answers).; The primary research question involved the identification and analysis of semantic relationships in medically-oriented consumer questions and answers from Ask-an-Expert Web sites. Using the semantic relationships within the Unified Medical Language System (UMLS) Semantic Network as a starting point, this work used an iterative approach of analyzing and comparing semantic relationships in question-answer pairs as a basis for constructing an inventory of semantic relationships which evolved from instances in actual text rather than introspection. The results suggested important modifications to the UMLS Semantic Network, including clarifying the definitions and structure of the original UMLS relationships and introducing new semantic relationships.; A total of 509 semantic relationship instances were identified in twelve question-answer pairs (97 in the questions, 334 in the answers, 78 implied between question and answer concepts). Certain relationship categories were seen more often in questions than in answers and vice versa. Health consumers, for example, often use temporal semantic relationships in explaining their information need. A taxonomy of question types (Graesser's) was used to get a broad overview of the questions asked by consumers. The semantic relationships from questions were analyzed with respect to question type to appraise how the two might be used in conjunction with one another. Regarding the answering strategy of physicians, a direct match between the semantic relationships in the question and those in the answer occurred in only half of the question-answer pairs analyzed. All answers contained expansions of one or more question concepts. These concept expansions used many relationship types such as TREATS and RESULTS_IN.
机译:本论文涉及医学知识在健康消费者的问题和医师提供的答案中的表示。它对用户界面的设计具有影响,这些界面提高了健康消费者定义其信息问题和理解检索结果的能力。分析了健康消费者提问和医生回答的潜在语义,作为(1)理解提问行为和回答模式以及(2)构建基于框架的表示系统来表达健康相关问题和答案中语义关系的基础(或“潜在”答案)。主要研究问题涉及对面向医学的消费者问题和Ask-an-Expert网站中的答案的语义关系的识别和分析。以统一医学语言系统(UMLS)语义网络中的语义关系为起点,这项工作采用了一种迭代方法,用于分析和比较问题-答案对中的语义关系,以此作为构建语义关系清单的基础。实例以实际文本而不是自省。结果表明对UMLS语义网络进行了重要的修改,包括阐明了原始UMLS关系的定义和结构,并引入了新的语义关系。在十二个问题-答案对中总共识别出509个语义关系实例(问题中为97个,答案中为334个,问题与答案概念之间隐含了78个)。某些关系类别在问题中比在答案中更常见,反之亦然。例如,健康消费者经常使用时态语义关系来解释其信息需求。使用问题类型的分类法(Graesser's)来获得消费者提出的问题的广泛概述。从问题的角度对问题的语义关系进行了分析,以评估如何将二者相互结合使用。关于医生的回答策略,问题中的语义关系与答案中的语义关系之间的直接匹配仅发生在分析的一半问题-答案对中。所有答案都包含一个或多个问题概念的扩展。这些概念扩展使用了许多关系类型,例如TREATS和RESULTS_IN。

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