移动主体异构资源互操作框架

随着Internet的发展,如何实现异构资源之间的互操作成为当前研究热点。要适应Internet这种开放、动态的环境,需要软件具有组件化、开放化、自主化等特点,而面向主体的软件开发方式则能满足这些需要。提出了一种基于移动主体（Mobile Agent）的异构资源互操作框架,用以实现异构数据源的整合,为用户提供统一信息检索服务。该框架为一多主体系统（Multi-Agent System）,为了实现主体间的通信和协作,设计了一种基于通用领域本体模型的主体通信机制。此外描述了该框架中移动主体的工作机制。     

Describing the MIPS multimedia presentation system with the IMMPS reference model

The MIPS system retrieves information from a set of distributed heterogeneous information sources as a result of a single query, and generates an integrated hypermedia presentation of the answer. The retrieval and presentation processes in the MIPS architecture are described firstly using the structure of the original authors, and then in the terminology and structure of the IMMPS reference model. The reference model was developed to address the intelligent generation of multimedia presentations, but it can also be used to describe systems where the presentation structure is generated automatically but where the content is retrieved rather than generated. The mapping from the generation to retrieval processes within the IMMPS reference model is considered.     

面向Internet的个性化智能信息检索

文中提出了一个面向Ｉｎｔｅｒｎｅｔ的个性化智能信息检索系统,该系统的研究内容属目前智能信息检索领域的重要研究课题。系统采用分布式智能体Ａｇｅｎｔ技术、相关反馈学习算法和基于多用户个性化模式的层次智能信息滤波算法,并采用多模块之间尖线交互机制和个性化检索与集中游览相结合的检索方式等方法,有效地解决了现有系统在交互方式、自适应用户兴趣和信息源的变化、高效并行检索等方面的不足,该系统普通适用于Ｉｎｔｅｒ     

PandaDB: Intelligent Management System for Heterogeneous Data

With the development of big data application, the demand of large-scale structured/unstructured data fusion management and analysis is becoming increasingly prominent. However, the differences in management, process, retrieval of structured/unstructured data brings challenges for fusion management and analysis. This study proposes an extended property graph model for heterogeneous data fusion management and semantic computing, and defines related property operators and query syntax. Based on the intelligent property graph model, this study implements PandaDB, an intelligent fusion management system for heterogeneous data. This study depicts the architecture, storage mechanism, query mechanism, property co-storage, AI algorithm scheduling, and distributed architecture of PandaDB. Test experiments and cases show that the co-storage mechanism and distributed architecture of PandaDB have good performance acceleration effects, and can be applied in some scenarios of fusion data intelligent management such as entity disambiguation of academic knowledge graph.     

PandaDB:一种异构数据智能融合管理系统

随着大数据应用的不断深入,对大规模结构化/非结构化数据进行融合管理和分析的需求日益凸显.然而,结构化/非结构化数据在存储管理方式、信息获取方式、检索方式方面的差异给融合管理和分析带来了技术挑战.本文提出了适用于异构数据融合管理和语义计算的属性图扩展模型,并定义了相关属性操作符和查询语法.接着,基于智能属性图模型提出异构数据智能融合管理系统PandaDB,并详细介绍了PandaDB的总体架构、存储机制、查询机制、属性协存和AI算法集成机制.性能测试和应用案例证明,PandaDB的协存机制、分布式架构和语义索引机制对大规模异构数据的即席查询和分析具有较好的性能表现,该系统可实际应用于学术图谱实体消歧与可视化等融合数据管理场景.     

Perspective: A Standards-Based System for Manufacturing Information Integration

This paper presents an infrastructure and a prototype system for a manufacturing information system, which is distributed its nature and is able to store, index, manage, retrieve and present business data, inventory data, and manufacturing processes data. The system works with all kinds of information, such as continuous (i.e., stream oriented) data, production (e.g., decision support) data, legacy data, and multimedia data (say, drawings, pictures, audio signals, voice annotations, and video streams). A key criterion is support for content-based information retrieval across all application areas. The main objective is to provide support for automated information transactions. The prototype of our architecture uses JAVA, STEP (ISO 10303) standard, the Internet, and CORBA. A fully functional system, called Perspective, for retrieval of part and manufacturing process has been designed and implemented in a distributed environment. Among other capabilities, the system can retrieve a set of parts or manufacturing processes based on similarity to some desired criteria.     

Internet资源库——面向主题的数据网格模型

提出的Internet资源库体系结构,是一种面向主题的数据网格模式,使Internet上各数据源可以动态地上推自己的数据,作为其他数据源的子模式;支持多数据库的单一化访问,屏蔽多数据库的数据结构,为客户提供一致、规范的数据外貌。     

Modeling Big data‐based systems through ontological trading

One of the great challenges the information society faces is dealing with the huge amount of information generated and handled daily on the Internet. Today, progress in Big data proposals attempt to solve this problem, but there are certain limitations to information search and retrieval due basically to the large volumes handled, the heterogeneity of the information, and its dispersion among a multitude of sources. In this article, a formal framework is defined to facilitate the design and development of an environmental management information system, which works with a heterogeneous and large amount of data. Nevertheless, this framework can be applied to other information systems that work with Big data, because it does not depend on the type of data and can be utilized in other domains. The framework is based on an ontological web‐trading model (OntoTrader), which follows model‐driven engineering and ontology‐driven engineering guidelines to separate the system architecture from its implementation. The proposal is accompanied by a case study, SOLERES‐KRS, an environmental knowledge representation system designed and developed using software agents and multi‐agent systems. Copyright © 2017 John Wiley & Sons, Ltd.     

基于Internet信息采集和决策的Multi—Agent系统的设计

Internet数据的特点，阻碍了人们充分有效地利用Internet信息。传统的集中式方法侧重于对长期积累数据的趋势分析，无法适应动态、实时的信息变化，因此采用Multi—Agent技术是利用Internet数据进行决策支持的必然。本文构建了一个用于多个异构数据源监测、集成、分析并进行决策的Multi—Agent系统，文章重点描述了该系统的组织情况，提出了在Agent体系结构基础上开发可重用部件的思想，从而提高了Agent创建的效率。文中还对试验进行了说明，最后作了小结。     

基于微服务架构与区块链技术的环境监测系统

针对高速公路服务区环境监测所面临的主要挑战和问题,提出了基于微服务架构结合区块链技术构建环境监测系统的思路和方法,并成功研发了一套高速公路智能环保监控管理系统.通过物联网中间件技术打通了环境监测数据从终端传感器到云服务器的壁垒;通过分治法思想将整体系统分割为水质、大气、噪声和固废等面向多污染源的服务单元(可独立部署);...     

A collaborative learning approach for geographic information retrieval based on social networks

Nowadays, spatial and temporal data play an important role in social networks. These data are distributed and dispersed in several heterogeneous data sources. These peculiarities make that geographic information retrieval being a non-trivial task, considering that the spatial data are often unstructured and built by different collaborative communities from social networks. The problem arises when user queries are performed with different levels of semantic granularity. This fact is very typical in social communities, where users have different levels of expertise. In this paper, a novelty approach based on three matching-query layers driven by ontologies on the heterogeneous data sources is presented. A technique of query contextualization is proposed for addressing to available heterogeneous data sources including social networks. It consists of contextualizing a query in which whether a data source does not contain a relevant result, other sources either provide an answer or in the best case, each one adds a relevant answer to the set of results. This approach is a collaborative learning system based on experience level of users in different domains. The retrieval process is achieved from three domains: temporal, geographical and social, which are involved in the user-content context. The work is oriented towards defining a GIScience collaborative learning for geographic information retrieval, using social networks, web and geodatabases.     

Intelligent Travel Planning: A MultiAgent Planning System to Solve Web Problems in the e-Tourism Domain

This paper presents Intelligent Travel Planning (ITP), a multiagent planning system to solve Web electronic problems in the Web, whose main goal is to search for useful solutions in the electronic-Tourism domain to system users. The system uses different types of intelligent autonomous agents whose main characteristics are cooperation, negotiation, learning, planning and knowledge sharing. Obviously the information used by the intelligent agents is heterogeneous and geographically distributed, since the main information source of the system is Internet. Other information sources are agent knowledge bases in the distributed system. The process to obtain, filter, and store the information is performed automatically by agents. This information is translated into a homogeneous format for high-level reasoning in order to obtain different partial solutions. Partial solutions are reconstructed into a general solution (or solutions) to be presented to the user. The system will show a set of solutions to the users that can be evaluated by them.     

pFusion: A P2P Architecture for Internet-Scale Content-Based Search and Retrieval

The emerging peer-to-peer (p2p) model has become a very powerful and attractive paradigm for developing Internet-scale systems for sharing resources, including files and documents. The distributed nature of these systems, where nodes are typically located across different networks and domains, inherently hinders the efficient retrieval of information. In this paper, we consider the effects of topologically aware overlay construction techniques on efficient p2p keyword search algorithms. We present the peer fusion (pFusion) architecture that aims to efficiently integrate heterogeneous information that is geographically scattered on peers of different networks. Our approach builds on work in unstructured p2p systems and uses only local knowledge. Our empirical results, using the pFusion middleware architecture and data sets from Akamai's Internet mapping infrastructure (AKAMAI), the active measurement project (NLANR), and the text retrieval conference (TREC) show that the architecture we propose is both efficient and practical     

基于Agent的网上高校招生管理系统模型

文章提出了基于Agent的分布式网上高校招生管理系统模型。该模型由用户接口Agent、任务Agent和资源Agent三部分组成。文中阐述了各Agent的功能,建立了任务Agent的动态选择机制,描述了Agent间通讯方法。基于Agent的分布式管理系统模型已用于高校招生管理系统中,它提高了网上高考管理系统的性能,解决了分布式环境下从不同资源中获取所需信息的能力。     

Distributed and reactive query planning in R-MAGIC: an agent-based multimedia retrieval system

We present the planning scheme for a cooperative agent-based multimedia retrieval architecture that integrates a heterogeneous set of repositories into a coherent information system. The agents in the system collaborate in context of a conceptual query to formulate unique retrieval strategies for the different collections. The retrieval plan makes need-based use of independent content analysis tools available on the network. The retrieval strategies for the repositories so formulated satisfy the specified constraints on quality of results and the response time requirements. The retrieval plan is reactively updated based on the retrieval performance at the individual repositories. We present some experimental results to show the effectiveness of the planning scheme for repositories with different characteristics and the scalability of the architecture. We present a prototype implementation of this architecture that integrates a set of dissimilar collections of multimedia data on Indian cultural heritage. A comparison of the retrieval results with some existing Internet search tools proves the effectiveness of the architecture.     

Distributed and cooperative information retrieval on the World Wide Web

A masss of heterogeneous,distributed and dynamic information on the World Wide Web(the Web) has resulted in “information overload“ .It‘s an important and urgent reserach issue to provide users with effective information retrieval service on the Web.Web search enginees attempt to solve this problem,yet their effect is far from satisfying.In this paper,a distributed and cooperative strategy for information retrieval on the Web is proposed to substitute the centralized mode adopted by the current search engines.Then a new information retrieval system model IRSM is presented.which supports the retrieval of metadata about web documents and uses Z39.50 standard protocol to unify the heterogeneous interfaces of uments and uses Z39.50 standard protocol to unify the heterogeneous interfaces of different systems.Based on that,a distributed and cooperative information refieval framework,called DCIRF,is designed to help users in fast and effective information retrieval on the Web.     

基于元数据与Z39.50的分布协作式Web信息检索

Web上大量的异质、分布、动态的信息造成了“信息过载”.如何有效地为用户提供Web信息检索已经成为一项重要的研究课题.Web搜索引擎部分地解决了信息检索问题,然而其效果却远远不能令人满意.提出了Web信息检索的分布协作策略以取代传统的集中式信息检索方式;给出了一种新的Web信息检索系统模型,该模型支持对Web文档的元数据进行检索,并采用Z39.50协议作为接口标准,以克服不同信息检索系统之间的访问异构性.在此基础上,设计了一个分布协作式Web信息检索框架,用以帮助用户有效地进行Web信息检索.     

Architecture of a semantic data integration system based on a semantically complete model and a semantically complete query language

The availability of numerous sources of structured data on the Internet poses the problem of their integration into a unified information space just as the unstructured data and weakly structured data sources are integrated in the framework of the WWW. The main requirement for such an information space is the simplicity of operation for the users that are not trained IT experts. The architecture of a system of semantic integration of distributed and heterogeneous data sources is proposed in the framework of a unified semantic access interface. The semantic nature of this interface lies in the fact that one can interact with such a system in terms of the concepts of the application domain completely ignoring the implementation details of the systems being integrated. The proposed architecture simplifies the users’ work, the integration process, and the development of user forms with a rich functionality including a semantic navigation between the forms. A distinctive feature of this architecture is that the system integration and the development of user forms are performed declaratively in the interactive mode without programming. The simplification of the users’ work with the system is achieved due to some special properties of the semantically complete model (SCM) and of the semantically complete query language (SCQL), which provide a basis for the system. A prototype of the system under study is briefly described. The prototype is implemented as a type of the client-server technology based on the SCM-SCQL.     

基于Internet的课件信息发现和收集Agent的研究

文中介绍一个基于ｎｔｅｒｎｅｔ的信息检索系统：ＤＯＬＴＲＩ－Ａｇｅｎｔ．ＤＯＩＴＲＩ－Ａｇｅｎｔ用于从Ｉｎｔｅｒｎｅｔ上发现和收集用于远程武术和教学。