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Approach to General Data Model of GIS Symbol Library and Symbol Library Data Exchange XML schema

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Geo-Spatial Information Science 2009年第4期12卷 235-242页

作者： LI Qingyuan SU Deguo LI Hongsheng LIU Haochen SUN Lijian Chinese Academy of Surveying & Mapping 16 Beitaiping Road Beijing 100039 China

标志描绘是 GIS 的重要功能。在不同 GIS 平台分享符号的信息为 GIS 应用程序和用户是必要的。这篇论文讨论必要性，可能性和在不同 GIS 平台分享一个标志图书馆的答案技术。线路地图如下被设计：首先，为标志图书馆当模特儿建立一个一... 详细信息

标志描绘是 GIS 的重要功能。在不同 GIS 平台分享符号的信息为 GIS 应用程序和用户是必要的。这篇论文讨论必要性，可能性和在不同 GIS 平台分享一个标志图书馆的答案技术。线路地图如下被设计：首先，为标志图书馆当模特儿建立一个一般数据，然后格式化设计标准交换，并且最后格式化号召 GIS 制造商为标准交换为他们的标志图书馆提供交换工具。这篇论文分析 GIS 符号的图书馆的一般特征，给一个标志图书馆模型和 XML 的一篇草稿标志图书馆交换格式的纲要。

关键词：标准符号库数据模型 schema XML 数据交换地理信息系统 GIS 交换格式

Incremental Mining of the schema ofSemistructured Data

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Journal of Computer Science & Technology 2000年第3期15卷 241-248页

作者：周傲英金文周水庚钱卫宁田增平 Department of Computer Science Fudan University Shanghai P.R. China

Semistructured data are specified in lack of any fixed and rigidschema, even though typically some implicit structure appears in the data. Thehuge amounts of on-line applications make it important and imperative to mine theschema of semistructured data, both for the users (e.g., to gather useful informationand facilitate querying) and for the systems (e.g., to optimize access). The criticalproblem is to discover the hidden structure in the semistructured data. Currentmethods in extracting Web data structure are either in a general way independentof application background, or bound in some concrete environment such as HTML,XML etc. But both face the burden of expensive cost and difficulty in keeping alongwith the frequent and complicated variances of Web data. In this paper) the problemof incremental mining of schema for semistructured data after the update of the rawdata is discussed. An algorithm for incrementally mining the schema of semistruc-tured data is provided, and some experimental results are also given, which show thatincremental mining for semistructured data is more efficient than non-incrementalmining.

关键词： data mining incremental mining semistructured data schema algorithm

A Pluralistic Mind Approach to the Complementarity Between schema and Language

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Journal of Philosophy Study 2022年第3期12卷 131-143页

作者： XIE Jian-hua Taiyuan Normal University JinzhongChina

The traditional view is that understanding knowledge is based on language.Is language a sufficient condition for cognitive knowledge?Pluralistic mind holds that understanding knowledge can be obtained independently through schemata.schema-based cognition is not the only component of cognitive structure.The important language and quasi language thinking play a great role in cognition.Expounding the relationship between schema-based cognition and language and quasi language like thinking can explain the cognitive complementarity between schema and language.It shows that with the increase of language and quasi language thinking,the form of thinking is continuously enhanced and transformed through schema-based cognition.Language and quasi language thinking are cognitive abilities different from schema cognition.They are relatively new additions to cognitive tools.Language and quasi language like thinking are of little use to animals which do not have enough schema forming ability.

关键词： pluralistic mind schema language complementarity

Intelligent binary schema matching system in heterogeneity environment

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Journal of Harbin Institute of Technology(New Series) 2002年第4期9卷 376-382页

作者： Mbale J 徐晓飞邓胜春 Dept. of Computer Science and Engineering Harbin Institute of Technology Harbin 150001 China

For the past three decades, interoperability among heterogeneous systems had been a hard nut to crack due to the schematic and semantic perspectives that exist between objects. These systems were built under different data models. As such, levels of the local schemas are semantically very poor due to the limited expressiveness of traditional data models in which they were designed. Further more, most of the existing schema integration architectural components are inadequately equipped to handle the mapping schemas, especially when the semantics and structural conflicts are involved. This paper introduces an Intelligent Binary schema Matching system (IBSMS), which exploits the phenomenon of making its components intelligent. That’s equipping its components such as translators and integrators with adequate knowledge about various data models. This allows the components acquire enough intelligence to maneuver or manipulate the correspondence between constructs from different models. In addition, the system has a Binary Matcher, which compares the attribute correspondences of various databases in a pairwise form, in order to establish the equivalences. With the establishment of the mappings, the users shall be able to access them (mappings) for their desired usage.

关键词： Inter-schema correspondence assertions integration rules attribute correspondences semantics mapping, and schema matching

Summarizing Large-Scale Database schema Using Community Detection

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Journal of Computer Science & Technology 2012年第3期27卷 515-526页

作者：王雪周烜王珊 School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China

schema summarization on large-scale databases is a challenge. In a typical large database schema, a great proportion of the tables are closely connected through a few high degree tables. It is thus difficult to separate these tables into clusters that represent different topics. Moreover, as a schema can be very big, the schema summary needs to be structured into multiple levels, to further improve the usability. In this paper, we introduce a new schema summarization approach utilizing the techniques of community detection in social networks. Our approach contains three steps. First, we use a community detection algorithm to divide a database schema into subject groups, each representing a specific subject. Second, we cluster the subject groups into abstract domains to form a multi-level navigation structure. Third, we discover representative tables in each cluster to label the schema summary. We evaluate our approach on Freebase, a real world large-scale database. The results show that our approach can identify subject groups precisely. The generated abstract schema layers are very helpful for users to explore database.

关键词： schema summarization large scale community detection

Semi-structured Data Extraction and schema Knowledge Mining

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High Technology Letters 2001年第1期7卷 1-5页

作者：陈恩红 WANG Xufa Department of Computer Science University of Science and Technology ofChina

A semi structured data extraction method to get the useful information embedded in a group of relevant web pages and store it with OEM(Object Exchange Model) is proposed. Then, the data mining method is adopted to discover schema knowledge implicit in the semi structured data. This knowledge can make users understand the information structure on the web more deeply and thourouly. At the same time, it can also provide a kind of effective schema for the querying of web information.

关键词： Semi-structured data schema Data extraction.

AN APPROACH TO GENERATION OF SEMANTIC NETWORK FROM RELATIONAL DATABASE schema

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Chinese Science Bulletin 1991年第14期36卷 1222-1225页

作者：吴信东张奠成 Computer and Information Department Hefei University of Technology Hefei 230009 PRC

I. INTRODUCTIONIntegrating artificial intelligence technology into database technology, called IDB (intelligent database )research, has become a popular research assignment at home and abroad. The current research of ... 详细信息

关键词： knowledge acquisition descriptive database schema semantic network predicatizing.

Characteristics of implicit schemas in patients with major depressive disorder

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General Psychiatry 2022年第3期35卷 183-191页

作者： Jiayu Yao Qingqing Lin Ziwei Zheng Shuangyi Chen Yuan Wang Wenhui Jiang Jianyin Qiu Department of Psychological Counseling&Psychotherapy Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina

Background Many psychotherapy theories emphasise the importance of self-schema and other-schema,but most previous studies focused on the explicit self-schema in major depressive disorder(MDD).However,the limited studies of implicit self-schema in MDD have shown inconsistencies in their findings.Furthermore,only a few studies have investigated the implicit other-schema,and the pathway illustrating how implicit schemas influence depression remains unclear.Aims The primary aim of our study was to explore the characteristics of implicit self-schema and otherschema in patients with MDD.We also examine the chain-mediating effect of attachment relationships and interpersonal trust.Methods The present study included 88 patients with MDD and 88 healthy controls(HCs).The Hamilton Depression Rating Scale-17,Experiences in Close Relationships Inventory—Revised Questionnaire,Trust Scale and the Extrinsic Affective Simon Task(EAST)were used to assess depressive symptoms,attachment relationships,interpersonal trust and implicit schemas,respectively.Paired sample t-test was used to compare the reaction time(RT)for positive and negative words within the two groups.Analysis of covariance was used to explore the difference between two groups from the perspective of implicit schemas and interpersonal patterns.The chain mediation model was verified by bootstrap.Results(1)For interpersonal patterns,patients with MDD scored significantly higher on attachment anxiety(F=82.150,pschemas,no significant difference was found between the RT for positive self-words and negative self-words in patients with MDD(t=−1.056,p=0.294).However,the HC responded faster to positive self-words than negative self-words(t=−3.286,p=0.001).The RT for positive other-words and negative other-words were significantly different in both pati

关键词： patients schema implicit

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一种基于schema的XML索引结构

计算机工程 2006年第18期32卷 64-66页

作者：曾一许娴张元平重庆大学计算机学院重庆400044

XMLschema作为一种描述XML文档模式信息即结构信息的标准,对于XML索引的建立及查询效率的提高有着重要的作用。现有的大部分XML索引结构着重研究XML文档的结构查询,而对于XML文档的更新支持却不多,对无效查询也不能作出快速的判断。该... 详细信息

XMLschema作为一种描述XML文档模式信息即结构信息的标准,对于XML索引的建立及查询效率的提高有着重要的作用。现有的大部分XML索引结构着重研究XML文档的结构查询,而对于XML文档的更新支持却不多,对无效查询也不能作出快速的判断。该文基于已有的XML文档的编码方式,提出了一种基于schema的XML索引结构,不仅能支持基于有效性验证的动态更新,使得XML文档和XMLschema保持一致,而且对用户提出的无效的路径查询也能在较短时间内作出判断。

关键词： XML schema XML索引 XML动态更新路径查询