TOWARDS AN ONTOLOGY-BASED MULTI-AGENT MEDICAL INFORMATION SYSTEM BASED ON THE WEB

This paper described an ontology based multi agent knowledge process made (MAKM) which is one of multi agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.

Chaining Distributed Geographic Information Web Services Based on Ontology

To solve the problem of chaining distributed geographic information Web services （GI Web services）, this paper provides an ontology-based method. With this method, semantic service description can be achieved by semantic annotation of the elements in a Web service description language（WSDL） document with concepts of geographic ontology, and then a common under-standing about service semantics between customers and providers of Web services is built. Based on the decomposition and formalization of customer requirements, the discovery, composition and execution of GI Web services are explained in detail, and then a chaining of GI Web services is built and used to achieve the customer＇s requirement. Finally, an example based on Web ontology language for service （OWL-S） is provided for testing the feasibility of this method.

A Dairy Industry Information Cooperative Service System Based on a Production Process Ontology

Agricultural information cooperative services （AICS） are now becoming an important aspect of agriculture informatization. This study offers an ontological conception of the agricultural production process, establishing operational divisions corresponding to both the stages and the fundamental information requirements of the dairy industry production process in China, yielding a process ontology for the dairy industry as well as a business chain model. A framework for a dairy industry information cooperative service system was established, with service functions realized in a prototype system. The resulting agricultural process ontology built on the basis of biological characteristics has advantages as a classification standard for agricultural information; whereas the business chain model based on this agricultural process ontology allows for an effective distribution of agricultural information cooperative services. This study outlines a concept and demonstrates a prototype of a cooperative service capable of integrating diverse online agricultural information relevant to the dairy industry in China.

Location Service Information Supporting System Based on Ontology

In order to solve the problem of how to collect and manage large amount of location information and improve the accuracy of location service, interactive information supporting system based on ontology and location service is presented in this paper. It can transmit special information about users＇ location to front-end instantaneously, so it is very convenient for their daily life. It makes full use of the available wireless communication, which is easy to arrange and convenient for users.

Semantic QoS Ontology and Semantic Service Ranking Approach for IoT services

Due to a rapid increase in the number of functionally equivalent web services at open and dynamic Io T service environment,Qo S has become a major discrimination factor to reflect the user's expectation and experience of using a service.There are different languages and models for expressing Qo S advertisements and requirements among service providers and consumers.Therefore,it leads to the issues of semantic interoperability of Qo S information and semantic similarity match between a semantic description of the service being requested by the service consumer,and a formal description of the service being offered by the service provider.In this paper,we propose a hierarchical two-layer semantic Qo S ontology to promote the description and declaration of Qo S-based service information in detail for any domain and application.And,we develop a semantic matchmaking algorithm to compare the web services according to their Qo S information and adopt analytical hierarchy process( AHP) to make decision for the ranked services depending on the Qo S criteria.The comparison study and experimental result show that our proposed system is superior to other service ranking approaches.

A Personalized Adverse Drug Reaction Early Warning Method Based on Contextual Ontology and Rules Learning

Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: The personalized ADR early warning method, based on contextual ontology and rule learning, proposed in this study aims to provide a reference method for personalized health and medical information services. Methods: First, the patient data is formalized, and the user contextual ontology is constructed, reflecting the characteristics of the patient population. The concept of ontology rule learning is then proposed, which is to mine the rules contained in the data set through machine learning to improve the efficiency and scientificity of ontology rule generation. Based on the contextual ontology of ADR, the high-level context information is identified and predicted by means of reasoning, so the occurrence of the specific adverse reaction in patients from different populations is extracted. Results: Finally, using diabetes drugs as an example, contextual information is identified and predicted through reasoning, to mine the occurrence of specific adverse reactions in different patient populations, and realize personalized medication decision-making and early warning of ADR.

A capability matching and ontology reasoning method for high precision OGC web service discovery

Finding the right spatially aware web service in a heterogeneous distributed environment using criteria such as service type,version,time,space,and scale has become a challenge in the integration of geospatial information services.A new method for retrieving Open Geospatial Consortium(OGC)Web Service(OWS)that deals with this challenge using page crawling,link detection,service capability matching,and ontology reasoning,is described in this paper.Its major components are distributed OWS,the OWS search engine,the OWS ontology generator,the ontology-based OWS catalog service,and the ontology-based multi-protocol OWS client.Experimental results show that the execution time of this proposed method equals only 0.26 of that of Nutch’s method.In addition,the precision is much higher.Moreover,this proposed method can carry out complex OWS reasoning-based queries.It is being used successfully for the Antarctica multi-protocol OWS portal of the Geo-Information Web Service Portal of the Polar.

Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval

The drastic growth of coastal observation sensors results in copious data that provide weather information.The intricacies in sensor-generated big data are heterogeneity and interpretation,driving high-end Information Retrieval(IR)systems.The Semantic Web(SW)can solve this issue by integrating data into a single platform for information exchange and knowledge retrieval.This paper focuses on exploiting the SWbase systemto provide interoperability through ontologies by combining the data concepts with ontology classes.This paper presents a 4-phase weather data model:data processing,ontology creation,SW processing,and query engine.The developed Oceanographic Weather Ontology helps to enhance data analysis,discovery,IR,and decision making.In addition to that,it also evaluates the developed ontology with other state-of-the-art ontologies.The proposed ontology’s quality has improved by 39.28%in terms of completeness,and structural complexity has decreased by 45.29%,11%and 37.7%in Precision and Accuracy.Indian Meteorological Satellite INSAT-3D’s ocean data is a typical example of testing the proposed model.The experimental result shows the effectiveness of the proposed data model and its advantages in machine understanding and IR.

Method and supporting framework for business domain-oriented web service discovery

This paper proposes a new business domain-oriented web service discovery method and framework to solve the low precision results caused by UDDI （universal description,discovery and integration） syntactic discovery and the difficulty in selecting from among functionally equivalent web services.When requesting services,service clusters are extracted from concrete services in terms of functional requests; then, through business information properties consultation,the most suitable services are determined and finally bound to user requests.The whole process is transparent to users. This framework is also tested and supported through a prototype based on a travel domain,IPVita （intelligent platform of virtual travel agency）.

Web Services构架下的空间应用集成框架

基于XML ,WebService,Ontology等技术的PAI集成框架包括Web应用层、集成层、分布的服务层和分布的信息层4层 其中集成层含有集成总线及AdapterService、元数据库和集成协调器与供二次开发的API及WebSer vice工具集,它实现了数据互操作、软件互操作与语义互操作集成总线是一组面向领域的编码标准与通信协议,是集成框架的核心;与总线标准不符的遗留系统和其他相关系统只需编写AdapterService就能被集成;元数据库用于管理系统中的所有信息与应用服务,屏蔽信息及服务的分布性与异构性;集成协调器用于数据的更新和元数据的管理;Ontology用于定义描述领域相关元数据的术语;数据交换格式与通信协议均用XML定义;所有应用通过SOAP协议实现互操作该集成框架实现了大规模空间信息及服务的动态集成,能保护已有投资,并能集成网上丰富的商业WebService ,是一个开放的可扩充的框架 文中还介绍了PAI集成框架实现的初步成果。

基于Web Service的农业信息协同服务系统

农业信息协同服务是农业信息化发展的重要方向之一,也是目前农业信息领域备受关注的热点学术问题。本文分析了搜索引擎在农业信息服务方面不足、农业信息协同服务系统特点以及Web Service技术特点,基此以农业过程本体为索引,以Web Service技术为支撑,研究构建了农业信息协同服务系统架构。并在构建奶牛、苹果、玉米等行业过程本体的基础上,选取几个典型的农业网站,开发了农业信息协同服务原型系统。实验结果表明:以农业生产经营过程本体为基础,以Web Service技术为支撑,构建农业信息协同服务系统,其研究思路和架构设计的技术路线是可行的。

基于Web Services和本体的信息集成框架

针对信息集成应用的要求,利用信息集成协议栈的层次关系,提出了一个基于Web Services和本体的信息集成框架。详细阐述了框架的体系结构、模块功能,介绍了其特点和关键技术。该框架克服了传统跨平台技术及数据共享技术在信息集成中的局限,实现了信息的动态集成。

基于Ontology和Mult-agent的主动服务提送系统架构

讨论了目前信息服务中普遍存在的一些问题 .提出一种基于Ontology和Mult -agent的个性化主动服务提送模式 。

An Efficient Grid Service Discovery Mechanism Based on the Locality Principle

With the explosion of services in grid environment, it＇s necessary to develop a mechanism which has the ability of discovering suitable grid services efficiently. This paper attempts to establish a layered resource management model based on the locality principle which classifies services into different domains and virtual organizations （VOs） according to their shared purposes. We propose an ontologybased search method applying the ontology theory for characterizing semantic information. In addition, we extend the UD- D1 in querying, storing, and so on. Simulation experiments have shown that our mechanism achieves higher performance in precision, recall and query response time.

地理本体及其应用初探

将本体论的思想和方法引入到地理信息领域,提出了本体论在地理信息科学中的确切含义,并阐述了建立地理本体的意义。重点研究了基于本体的地理信息服务,并在对各种本体表示语言进行分析比较之后,选择最有发展前景的OWL语言构建了一些简单的地理本体,用实例说明如何将本体应用到地理信息服务中。

基于过程本体的奶牛养殖业信息协同服务系统的建立

农业信息协同服务是农业信息化发展的重要方向之一,也是目前农业信息领域倍受关注的热点学术问题。该文将农业本体论思想引入农业生产经营过程,并以奶牛养殖业为例,探讨并划分了奶牛业生产经营过程阶段和对应的信息需求单元,构建了奶牛养殖过程本体和奶牛养殖业信息协同服务业务链模型,建立了基于业务链模型的奶牛养殖业信息协同服务系统,进而对系统的服务功能进行了初步实现。研究结果表明:建立在生物学特征基础上的农业过程本体在作为农业信息统一分类标准方面具有显著优势,基于过程本体的业务链模型有效地解决了农业信息资源优化调度和协同服务机制难题,实现了农业搜索服务和异构网站服务的协同。

情境感知的自适应个性化信息服务体系框架研究

针对个性化信息服务（personalized information service,PIS）中用户信息需求获取的准确性和可靠性较差,自适应性不够以及缺乏探测性等问题,提出了实现PIS的基于情境和情境感知的自适应方法。阐述了情境与情境感知的含义,探讨了情境的本体语义描述方法,研究了情境识别获取、更新合成等情境感知的核心问题,在此基础上给出了情境感知的PIS体系框架。最后通过实例说明了该体系框架的具体应用。

一种基于本体的空间信息Web服务实现方法

为了提高空间信息Web服务的互操作性,提出了一种利用本体技术实现空间信息Web服务发现与检索的解决办法.通过Web服务本体描述语言(OWL-S)实现对空间信息Web服务能力知识表达,在标准的开放地理信息系统协会(OGC)空间信息Web服务基础上,建立了一个基于本体目录服务的空间信息服务框架.并给出了基于这一框架服务请求的实现过程.结果表明,本体技术可以扩展空间信息Web服务的语义,能将服务匹配过程中得到的相似的Web服务复用于当前服务请求,提高知识推理的效率.

基于个性化特征的无公害农产品目录智能服务系统

从促进无公害农产品流通,提高认证产品信息服务质量出发,该文以无公害农产品目录为研究对象,以实现认证产品信息的个性化检索与推荐为目标,进行产品目录智能服务的关键技术研究。以产品概念、属性和语义关系为主体,设计产品目录本体模型,建立产品目录领域本体,形成无公害农产品电子化目录;基于产品目录领域本体,从本体概念层面进行用户兴趣特征建模,采用语义清晰度与用户兴趣度的综合值设置概念权值,建立个性化产品目录加权本体模型,并设计个性化产品目录加权本体建立算法,实现用户兴趣的动态、准确和全面描述;通过个体过滤、综合过滤、概念映射、语义查询扩展和查询结果优化,构建个性化产品目录信息推荐与检索算法,建立产品目录智能服务系统。在检索结果用户满意度对比试验中,相比于基于领域本体检索、基于语义相似度优化检索和基于个性化本体优化检索3种方式,分别提高了31%、21%和14%,结果表明可在一定程度上提高无公害农产品目录信息检索推荐的质量和满意度,满足个性化的需求,同时也可为无公害农产品推广、品牌化销售和电子化交易提供技术支撑,具有较好的应用前景。

基于本体的数字图书馆个性化用户模型表示

本文针对当前个性化服务中基于关键词的用户兴趣表示方法在语义上的不足,结合本体语义信息丰富的特点,提出了一种基于本体的用户模型表示方法。在数字图书馆领域内,介绍了本体形式化描述并构建了数字图书馆领域本体,给出了用户模型的表示方法。并以个性化信息检索为例,说明了利用用户兴趣本体表示中的同义,上下位等关系给用户提供服务的方法。实验表明基于本体的表示方法能够给用户提供更加个性化的信息。