A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements

Local place names are frequently used by residents living in a geographic region. Such place names may not be recorded in existing gazetteers, due to their vernacular nature, relative insignificance to a gazetteer covering a large area (e.g. the entire world), recent establishment (e.g. the name of a newly-opened shopping center) or other reasons. While not always recorded, local place names play important roles in many applications, from supporting public participation in urban planning to locating victims in disaster response. In this paper, we propose a computational framework for harvesting local place names from geotagged housing advertisements. We make use of those advertisements posted on local-oriented websites, such as Craigslist, where local place names are often mentioned. The proposed framework consists of two stages: natural language processing (NLP) and geospatial clustering. The NLP stage examines the textual content of housing advertisements and extracts place name candidates. The geospatial stage focuses on the coordinates associated with the extracted place name candidates and performs multiscale geospatial clustering to filter out the non-place names. We evaluate our framework by comparing its performance with those of six baselines. We also compare our result with four existing gazetteers to demonstrate the not-yet-recorded local place names discovered by our framework.     

自然资源全要素自适应野外调查框架设计

针对自然资源全要素调查工作中分类标准不同、调查口径不同、调查方法不同，造成的各部门调查软件平台重复开发建设和调查数据结果地理信息特征表达不清晰等问题，本文结合自然资源全要素野外调查工作的实际需要，以山水林田湖草生命共同体为统一对象，构建了自然资源语义化特征模型，提出了表征不同自然资源类型的自适应野外调查方法，实现了灵活性高、性能优异的自然资源调查技术平台，形成了统一的自然资源全要素野外调查框架，可以有效提升多门类自然资源基础调查、专业调查、动态调查的能力与水平，为自然资源治理能力现代化提供了可靠技术保障。     

兵棋地图概念模型研究

兵棋地图是对战场环境各要素及其对作战行动影响规律的客观描述,构建兵棋地图概念模型能够促使军事人员和技术人员建立对同一问题的统一认知。首先,分析了军事概念模型的基本概念及其形式化描述方法;其次,提出了战场环境仿真概念模型,据此构建了兵棋地图概念模型,并对概念模型中的两类元素和三种交互关系进行了讨论;最后,利用UML对兵棋地图概念模型进行了形式化描述。     

Identifying geospatial services across heterogeneous taxonomies

Geospatial services with different functions are assembled together to solve complex problems. Different taxonomies are developed to categorize these services into classes. As differences in granularity and semantics exist among these taxonomies, the identification of services across different taxonomies has become a challenge. In this paper, an approach to identify geospatial services across heterogeneous taxonomies is proposed. Using formal concept analysis, existing heterogeneous taxonomies are decomposed into semantic factors and their various combinations. With these semantic factors, a super taxonomy is established to integrate the original heterogeneous taxonomies. Finally, with the super taxonomy as a cross-referencing system, geospatial services with classes in original taxonomies are identifiable across taxonomies. Experiments in service registries and a social media-based spatial-temporal analysis project are presented to illustrate the effectiveness of this approach.     

MODELING FUZZY GEOGRAPHIC OBJECTS WITHIN FUZZY FIELDS

1　ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅｒｅｐｒｅｓｅｎｔａｔｉｏｎｏｆｓｐａｔｉａｌｏｂｊｅｃｔｓｉｓｏｎｅｏｆｔｈｅｋｅｙｉｓｓｕｅｓｉｎｃｕｒｒｅｎｔｒｅｓｅａｒｃｈｏｎｔｈｅｓｐａｔｉａｌｄａｔａｂａｓｅｔｈｅｏｒｙｏｆＧＩＳ (ＢｕｒｒｏｕｇｈａｎｄＭｃＤｏｎｎｅｌｌ,1 998) .Ｓｐａｔｉａｌｏｂｊｅｃｔｓｉｎｎａｔｕｒｅａｒｅｃｌａｓｓｉｆｉｅｄａｓｔｗｏｋｉｎｄｓ:ｏｂｊｅｃｔｓｗｉｔｈｄｉｓｔｉｎｃｔｉｖｅｂｏｕｎｄａｒｉｅｓａｎｄｏｂ ｊｅｃｔｓｗｉｔｈｔｒａｎｓｉｔｉｏｎａｌｏｒｆｕｚｚｙ…     

三维空间实体间拓扑关系的矩阵描述

三维空间实体及其间拓扑关系的语义描述和形式化表达是三维ＧＩＳ空间数据建模的重要理论基础。在ｋ－维流形的三维空间实体形式化描述方法的基础上,根据三维空间实体的可剖分性,采用顾及维数的九元组描述框架,研究用于构成三维实体的ｋ－单纯形（０≤ｋ≤３）之间的拓扑空间关系,继而研究三维实体间的拓扑空间关系。     

C++虚拟继承状态下对象复制语义的分析研究

分析C 虚拟继承状态下的对象复制语义学.通过分析当前主流C 编译器对这个语义的支持情况,比较了它们之间实现上的差异;最后提出一种基于软件编码的实现方案,并比较了各种方案的性能优劣,以求更大限度的发挥C 的性能.     

“南音不幸而盛”:冯梦龙批评晚明剧坛析辨

冯梦龙主张戏曲创作要"奇",且"调协韵严",基于此,他对晚明剧坛创作中存在的问题予以批评。这些批评从两个方面展开。在"曲"的方面,他批评了民间传奇创作、文人创新、汤显祖及其追随者等;在"戏"的方面,他提出"奇"的标准——"事奇"和"掀翻窠臼",并批评很多作品难以做到这两点。冯梦龙对晚明剧坛的批评原则立于对形式的推崇,故而有其局限性。     

整合多源异构的城市规划数据进行认知交流的研究

针对整个城市规划过程的参与者对规划数据的不同种类、不同层次认知需求,本文利用本体思想对包括GIS数据、规划文档、规划图件等多源异构的规划数据进行关系重构,设计本体模型要素的数据语义关系,定义数据间的关联关系,实现基于本体方法的规划领域语义表达算法,方便了各类规划参与者对规划方案认识的交流:同时根据用户特征分类,进行本体关系的逻辑推理,过滤冗余信息,进行多源异构规划数据的可视化。