Metadata

摘要： 在当今科技水平不断提升的形势下,交通行业的技术更新不断加速,针对当前交通系统中面临的各类难题,先进科学技术的应用可以实现各类数据的详细统计,通过大数据构架来实现交通系统问题的智能化操控,在此基础上能极大缓解交通部门的工作压力.基于E交通学的交通大数据系统利用高性能计算机构建起计算机集群,以此为基础完成各类交通数据的存储、分析.本文主要对基于e交通学的交通大数据MetaData交换构架进行探讨,希望能为交通部门实现组织管理可视化、可量化、自动化提供一定的理论支撑.

摘要： Text Summarization is an essential area in text mining,which has procedures for text extraction.In natural language processing,text summarization maps the documents to a representative set of descriptive words.Therefore,the objective of text extraction is to attain reduced expressive contents from the text documents.Text summarization has two main areas such as abstractive,and extractive summarization.Extractive text summarization has further two approaches,in which the first approach applies the sentence score algorithm,and the second approach follows the word embedding principles.All such text extractions have limitations in providing the basic theme of the underlying documents.In this paper,we have employed text summarization by TF-IDF with PageRank keywords,sentence score algorithm,and Word2Vec word embedding.The study compared these forms of the text summarizations with the actual text,by calculating cosine similarities.Furthermore,TF-IDF based PageRank keywords are extracted from the other two extractive summarizations.An intersection over these three types of TD-IDF keywords to generate the more representative set of keywords for each text document is performed.This technique generates variable-length keywords as per document diversity instead of selecting fixedlength keywords for each document.This form of abstractive summarization improves metadata similarity to the original text compared to all other forms of summarized text.It also solves the issue of deciding the number of representative keywords for a specific text document.To evaluate the technique,the study used a sample of more than eighteen hundred text documents.The abstractive summarization follows the principles of deep learning to create uniform similarity of extracted words with actual text and all other forms of text summarization.The proposed technique provides a stable measure of similarity as compared to existing forms of text summarization.

摘要： 传统监控系统虽然提供了API接口,然而监控系统之间API风格各异,缺乏标准,应用程序调用比较困难,不利于数据可视化的推动.文章提出了一种基于Metadata的监控数据REST API设计方法,根据监控数据的特点进行数据抽象,以Metadata的理念进行数据描述,并通过REST对API进行规范.从而使得前端数据展示能够标准化和自动化,并给出了实际的应用示例,验证了设计的可行性.

摘要： With the deepening application of geographic information web services, as a significant part, geographic information directory service sets up a service transaction platform between the service providers and the service requestors, providing one-stop registration, access and management functions of geographic information web services, so it is very important to carry out the research on geographic information directory service. According to the domestic and overseas metadata standards, the service expression-oriented metadata information model for geographic information web service is established, and the discovery mechanism dominated by geographic information service registration and active discovery is realized accordingly. After that, overall design of directory service model is made, and finally the research results are integrated into the geographic information service software NewMapServer and deployment test is made under the Google Cloud Environment Google App Engine, providing a certain reference for sharing the Smart City construction achievements.

摘要： 基于e交通学的交通大数据系统是通过构建由大型高性能计算机组成的集群系统来处理海量的交通数据的存储以及计算服务,不仅所需的环境十分严格,而且成本高、部署周期长、维护困难;不仅如此,随着数据量的增长,业务复杂度的增加,以及计算强度的加大,通过增加Server数量来增加其处理对海量交通数据的能力会变的十分困难,甚至需要对集群的结构进行重新的设计和部署,这不仅需要大量的人力成本和财力,而且造成了巨大的浪费.MetaData交换及部署能力成为当今大数据驱动的智能交通系统研究的重点.面对海量交通数据,如何存储、管理、处理和应用MetaData是十分关键的问题.本文提出的交通大数据MetaData交换系统(Traffic Big Data Metadata Exchange System,TBMES)实现分布式交通信息交换与互访.该构架通过实时交通数据与交通信息大数据平台实时对接,让交通信息传递具有连续性、真实性;宏观交通数据和微观交通数据无缝对接,既可分析路网交通运行态势,又可评价重要道路节点的交通效率,全面掌握区域交通运营状态;使得交通组织管理可视化、可量化、系统化、自动化;系统的输出结果,可为决策者提供决策的理论支持,促进交通决策科学化.

摘要： Software industry has evolved to multi-product and multi-platform development based on a mix of proprietary and open source components. Such integration has occurred in software ecosystems through a software product line engineering (SPLE) process. However, metadata are underused in the SPLE and interoperability challenge. The proposed method is first, a semantic metadata enrichment software ecosystem (SMESE) to support multi-platform metadata driven applications, and second, based on mapping ontologies SMESE aggregates and enriches metadata to create a semantic master metadata catalogue (SMMC). The proposed SPLE process uses a component-based software development approach for integrating distributed content management enterprise applications, such as digital libraries. To perform interoperability between existing metadata models (such as Dublin Core, UNIMARC, MARC21, RDF/RDA and BIBFRAME), SMESE implements an ontology mapping model. SMESE consists of nine sub-systems: 1) Metadata initiatives & concordance rules;2) Harvesting of web metadata & data;3) Harvesting of authority metadata & data;4) Rule-based semantic metadata external enrichment;5) Rule-based semantic metadata internal enrichment;6) Semantic metadata external & internal enrichment synchronization;7) User interest-based gateway;8) Semantic master catalogue. To conclude, this paper proposes a decision support process, called SPLE decision support process (SPLE-DSP) which is then used by SMESE to support dynamic reconfiguration. SPLE-DSP consists of a dynamic and optimized metadata-based reconfiguration model. SPLE-DSP takes into account runtime metadata-based variability functionalities, context-awareness and self-adaptation. It also presents the design and implementation of a working prototype of SMESE applied to a semantic digital library.

摘要： Purpose-The success of web services involved the adoption of this technology by different service providers through the web,which increased the number of web services,as a result making their discovery a tedious task.The UDDI standard has been proposed for web service publication and discovery.However,it lacks sufficient semantic description in the content of web services,which makes it difficult to find and compose suitable web services during the analysis,search,and matching processes.In addition,few works on semantic web services discovery take into account the user’s profile.The purpose of this paper is to optimize the web services discovery by reducing the search space and increasing the number of relevant services.Design/methodology/approach-The authors propose a new approach for the semantic web services discovery based on the mobile agent,user profile and metadata catalog.In the approach,each user can be described by a profile which is represented in two dimensions:personal dimension and preferences dimension.The description of web service is based on two levels:metadata catalog and WSDL.Findings-First,the semantic web services discovery reduces the number of relevant services through the application of matching algorithm“semantic match”.The result of this first matching restricts the search space at the level of UDDI registry,which allows the users to have good results for the“functional match”.Second,the use of mobile agents as a communication entity reduces the traffic on the network and the quantity of exchanged information.Finally,the integration of user profile in the service discovery process facilitates the expression of the user needs and makes intelligible the selected service.Originality/value-To the best knowledge of the authors,this is the first attempt at implementing the mobile agent technology with the semantic web service technology.

摘要： 随着网络技术的飞速进步，海量的网络信息资源给人们带来便利的同时也给人们带来不少麻烦，为了让用户更加快捷便利的搜索和获取安全、有效的信息，避免用户不知不觉的迷失在信息海洋中，本研究对保障网络信息资源质量的同时，减小资源体积的过程进行论述。

摘要： Environmental monitoring and evaluation (M&E) systems are indispensable tools for sustainable land management, especially in dry and fragile ecosystems. The reporting and dissemination of its products and indicators are the key roles to perform their missions. Furthermore, the overall success of such multilateral projects and networks depends on well-organized infrastructures for spatial data management. A spatial data infrastructure (SDI) is an efficient framework to centralize the management of spatial data and information related to multilateral projects for the best sharing and exchange between partners and stakeholders in order to ensure that they are interactively connected to use the data efficiently and in a flexible manner. This paper outlines the work undertaken in partnership between the Geography and GIS Department of the Faculty of Arts, King Abdulaziz University, Saudi Arabia Kingdom, the Geomatics, Earth and Land Settlement Branch of the Department of Geology, Faculty of Sciences of Tunis, Tunis El Manar University, Tunisia, and the Sahara and Sahel Observatory OSS which is an intergovernmental organization, in order to build a Spatial Data Infrastructure (SDI) for the ROSELT/OSS program (Long-Term Environmental Monitoring Observatories Network in the Circum-Sahara of the Sahara and Sahel Observatory). This SDI is entirely developed using Open Source technologies and the extensive suite of OGC (Open Geospatial Consortium) standards and specifications, to enable interoperability among and between its different components.

摘要： Peer-to-peer technologies have emerged as a powerful and scalable communication model for large scale content shar-ing. However, they are not yet provided with optimized heterogeneous aggregated content management functionality since they lack rich semantic specifications. To overcome these shortcomings, we elaborated a reference model of P2P architecture for a dynamic aggregation, sharing and retrieval of heterogeneous multimedia contents (simple or aggre-gated). This architecture was mainly developed under the CAM4Home European research project and is fully based on the CAM4Home semantic metadata model. This semantic model relies on RDF (Resource Description Framework) and is rich (but simple enough), extensible and dedicated for the description of any kind of multimedia content.In this paper, we detail and evaluate an original semantic-based community network architecture for heterogeneous multimedia con-tent sharing and retrieval. Within the presentedarchitecture, multimedia contents are managed according to their asso-ciated CAM4Home semantic metadata through a structured P2P topology. This topology relies on a semantically en-hanced DHT (Distributed Hash Table) and is also provided with an additional indexing system for offering semantic storage and search facilities and overcoming the problem of exact match keywords in DHTs.

摘要： To solve the problems of interconnection and interoperation of distributed and heterogeneousinformation sources, a service model for ordering and publishing information is designed. Information in thegrid is demonstrated in the form of metadata and the semantic information of metadata is described byontology language. Then, metadata index is obtained by semantic analysis and information fusion. Networknodes are divided into three categories including metadata nodes, metadata service agents and metadataservice center. Finally, the information sharing can be realized by ordering and publishing system based onuser interests data.

摘要： XML is the de facto standard for data representation and exchange over the Web and has obtained increasing importance as a major method for information management. Due to an unprecedented growing use of XML standard, it has become crucial to develop efficient techniques for comparing XML-based documents in information retrieval (IR) research. A range of algorithms for comparing hierarchically structured data, e. g. XML documents, have been proposed. However, most of them focus mainly on comparing documents based on structural features, overlooking the meta-data involved. Given the diversity of the information available in XML, it is very useful to annotate XML data with a wide variety of recta-data, such as quality and sensitivity. The paper deals with this problem and introduces a combined structural/meta-data XML similarity approach. The method integrates meta-data similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Experiments were conducted to evaluate the performance and the results were noticeable.

摘要： XML is the de facto standard for data representation and exchange over the Web and has obtained increasing importance as a major method for information management. Due to an unprecedented growing use of XML standard, it has become crucial to develop efficient techniques for comparing XML-based documents in information retrieval (IR) research. A range of algorithms for comparing hierarchically structured data, e. g. XML documents, have been proposed. However, most of them focus mainly on comparing documents based on structural features, overlooking the meta-data involved. Given the diversity of the information available in XML, it is very useful to annotate XML data with a wide variety of recta-data, such as quality and sensitivity. The paper deals with this problem and introduces a combined structural/meta-data XML similarity approach. The method integrates meta-data similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Experiments were conducted to evaluate the performance and the results were noticeable.

摘要： XML is the de facto standard for data representation and exchange over the Web and has obtained increasing importance as a major method for information management. Due to an unprecedented growing use of XML standard, it has become crucial to develop efficient techniques for comparing XML-based documents in information retrieval (IR) research. A range of algorithms for comparing hierarchically structured data, e. g. XML documents, have been proposed. However, most of them focus mainly on comparing documents based on structural features, overlooking the meta-data involved. Given the diversity of the information available in XML, it is very useful to annotate XML data with a wide variety of recta-data, such as quality and sensitivity. The paper deals with this problem and introduces a combined structural/meta-data XML similarity approach. The method integrates meta-data similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Experiments were conducted to evaluate the performance and the results were noticeable.

摘要： XML is the de facto standard for data representation and exchange over the Web and has obtained increasing importance as a major method for information management. Due to an unprecedented growing use of XML standard, it has become crucial to develop efficient techniques for comparing XML-based documents in information retrieval (IR) research. A range of algorithms for comparing hierarchically structured data, e. g. XML documents, have been proposed. However, most of them focus mainly on comparing documents based on structural features, overlooking the meta-data involved. Given the diversity of the information available in XML, it is very useful to annotate XML data with a wide variety of recta-data, such as quality and sensitivity. The paper deals with this problem and introduces a combined structural/meta-data XML similarity approach. The method integrates meta-data similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Experiments were conducted to evaluate the performance and the results were noticeable.

摘要： A framework of interoperability of Digital Library based on OAI-PMH Metadata Interoperability framework, is presented, using Web Services and Metasearch engine technology.

摘要： A framework of interoperability of Digital Library based on OAI-PMH Metadata Interoperability framework, is presented, using Web Services and Metasearch engine technology.

摘要： A framework of interoperability of Digital Library based on OAI-PMH Metadata Interoperability framework, is presented, using Web Services and Metasearch engine technology.

摘要： A framework of interoperability of Digital Library based on OAI-PMH Metadata Interoperability framework, is presented, using Web Services and Metasearch engine technology.

摘要： 本文针对空间信息,采用Agent技术,构建了四层分布式数据挖掘模型.采用了Metadata管理方式以更好地处理异构数据源.Metadata的管理采用基于语义网的数据源分级注册机制.模型的核心模块是基于Agent的数据挖掘求解器.同时引入了知识库,将空间信息这一特定领域信息的获取和处理形成领域知识库,以利于挖掘结果的可行性、有效性、合理性.

摘要： 本发明揭示了一种针对TCP/UDP报文封装INT Metadata数据处理方法及装置，方法包括：源节点及每个中间节点均在产生相应的本跳INT Metadata数据后，向本跳INT Metadata数据中添加校验和校正字段，将校验和校正字段与本跳INT Metadata数据组成新的本跳INT Metadata数据。本发明可在每跳插入/修改INT Metadata数据时，对INT Metadata数据对应的校验和进行校正，使插入/修改INT Metadata数据时不影响四层头中校验和，进而实现终节点删除INT Metadata数据时无需计算整个INT Metadata数据对应的校验和。

摘要： 本发明揭示了一种在芯片中实现带内OAM Metadata编辑的系统及方法，系统包括报文识别模块、匹配模块和编辑模块，通过匹配模块对Instruction Bitmap字段的匹配，静态绑定编辑行为，通过有限的组合可配置能力，来替代全部的排列组合，实现高带宽芯片的满带宽使能带内OAM编辑能力。另外，静态表项的配置功能，可以满足不同应用场景下的编辑组合可变。

摘要： 本申请公开了基于Metadata的内容资产管理方法和系统，其中方法包括：获取用户对不同内容的描述信息；根据所述描述信息确定所述内容的描述信息类型和承载字段；根据所述描述信息类型和承载字段生成所述内容的描述模板。本申请的有益效果在于：本申请的方法无需二次开发，即可通过对数据字段的增、删、改，获得不同的内容描述模板，不同的企业用户可根据自己的需求自定义内容的描述模板，去除通用模板中的数据冗余，减轻了企业用户在管理数据的繁琐性，显著提高了工作效率，极大的提高企业的内容资产管理水平。

摘要： 本发明揭示了一种针对TCP/UDP报文封装INT Metadata数据处理方法及装置，方法包括：源节点及每个中间节点均在产生相应的本跳INT Metadata数据后，向本跳INT Metadata数据中添加校验和校正字段，将校验和校正字段与本跳INT Metadata数据组成新的本跳INT Metadata数据。本发明可在每跳插入/修改INT Metadata数据时，对INT Metadata数据对应的校验和进行校正，使插入/修改INT Metadata数据时不影响四层头中校验和，进而实现终节点删除INT Metadata数据时无需计算整个INT Metadata数据对应的校验和。

摘要： 本发明揭示了一种在芯片中实现带内OAM Metadata编辑的系统及方法，系统包括报文识别模块、匹配模块和编辑模块，通过匹配模块对Instruction Bitmap字段的匹配，静态绑定编辑行为，通过有限的组合可配置能力，来替代全部的排列组合，实现高带宽芯片的满带宽使能带内OAM编辑能力。另外，静态表项的配置功能，可以满足不同应用场景下的编辑组合可变。