Onomastics 2.0 -社会共现的力量
Onomastics 2.0 - The Power of Social Co-Occurrences
摘要：
专名学是“研究人或地方的专有名称的起源和形式的科学。“[“专名学”。Merriam-Webster.com，2013年。http://www.merriam-webster.com，2013年2月）]。特别是个人的名字在日常生活中发挥着重要的作用，因为世界各地的未来父母都面临着为他们的孩子找到一个合适的名字的任务。这种选择受到不同因素的影响，例如社会背景、语言、文化背景，特别是个人品味。随着社交网络及其应用的兴起，用户越来越多地进行数字化交互，并参与创建异构、分布式、协作的数据汇集。这些数据来源还反映了当前和新的命名趋势以及地名之间新出现的相互关系。目前的工作表明，如何从社会网络分析和信息检索领域的基本方法可以应用于发现名称之间的关系，从而扩展专有名词学的数据采掘技术。所考虑的方法开始与社会网络的数据，分别为给定的名称和城市名称建立共现图。作为一个主要结果，名称之间的语义基础相似性之间的相关性（例如，城市名称的地理距离）和基于结构图的相似性。所发现的名字之间的关系是“命名”[http://nameling.net]的基础，这是一个关于名字的搜索引擎和学术研究平台，在四个月内吸引了30 000多名用户，加强了拟议方法的相关性。
英文摘要：
Onomastics is "the science or study of the origin and forms of proper names of persons or places." ["Onomastics". Merriam-Webster.com, 2013. http://www.merriam-webster.com (11 February 2013)]. Especially personal names play an important role in daily life, as all over the world future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and, in particular, personal taste. With the rise of the Social Web and its applications, users more and more interact digitally and participate in the creation of heterogeneous, distributed, collaborative data collections. These sources of data also reflect current and new naming trends as well as new emerging interrelations among names. The present work shows, how basic approaches from the field of social network analysis and information retrieval can be applied for discovering relations among names, thus extending Onomastics by data mining techniques. The considered approach starts with building co-occurrence graphs relative to data from the Social Web, respectively for given names and city names. As a main result, correlations between semantically grounded similarities among names (e.g., geographical distance for city names) and structural graph based similarities are observed. The discovered relations among given names are the foundation of "nameling" [http://nameling.net], a search engine and academic research platform for given names which attracted more than 30,000 users within four months, underpinningthe relevance of the proposed methodology.
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。
