Ontology

摘要： The complexity of current software tools increases with the complexity of problem solving tasks they are designed to assist and are mainly dedicated to computer educated people. On the other hand current computer technology is deeply involved in people’s everyday life. This gap deepens and stresses software technology and computer education. The purpose of this paper is to discuss the feasibility of a new computer based problem solving methodology based on software tools that can be manipulated through the use of natural language. By computational emancipation the natural language becomes a family of non-ambiguous languages. This means that every problem solver uses a non-ambiguous natural language, termed here as Domain Algorithmic Language, DAL. Here we show how to develop software tools dedicated to the problem domain and illustrate the methodology we propose with the software tools required by teaching high school algebra.

摘要： 作为信息数字编码发展的产物,大数据扑面而来并整体呈现出一个不同于物能世界的信息世界。作为不同于物能存在的信息存在,大数据具有重要的存在论意蕴。由于越来越以数据网络的形式存在,且通过使物能存在网络化,大数据意味着存在的升级。这种存在升级意味着存在由物能世界到数据世界的扩展,信息和物能存在的网络一体化,存在过程及其把握的更高维度的提升,人和世界存在与发展信息层次的一体化展开。基于信息存在的大数据形态,不仅可以得到"ontology"涵义从本体论到存在论嬗变的大数据观照,看到从本体论到存在论、从实体存在论到关系存在论、从最基本的物的存在到最高层次的人的存在、甚至从存在到非存在嬗变的逻辑,而且可以看到存在的未来已来维度,从而进一步看到大数据基础上存在论与人类生存和发展的更深层次关联,直至存在论的人类学意蕴。

摘要： Multimedia Sensor Networks(MSNs)have enhanced the ability to analyze the environment and provide responses based on its current status.Generally,MSNs are composed of scalar and multimedia sensors that have fixed locations.However,given the advancement of smart mobile device technologies,it is currently possible to dynamically integrate mobile sensors into MSNs.In this paper,we propose a formal platform to manage MSNs and the data gathered from them to detect complex events.Our main contributions include:M^(2)SSN-Onto,a Mobile and Multimedia Semantic Sensor Networks Ontology;Py-CEMiD,an engine for detecting complex events and generate reactions to them;a mobile device location engine to locate mobile sensors;and a proof-of-concept in the context of detecting emergency situations in smart buildings.Several scenarios are validated for emergency events,combining simulated sensor measurements with real measurements of mobile devices.Results show complex events can be detected in near real time(less than 1 s).

摘要： 2022 is the centennial of an event which many consider to be a basis from which quantum mechanics can be derived—the Stern-Gerlach experiment of 1922—despite that the meaning of quantum theory is today an open question. Key is “the measurement problem”, the need to measure quantum phenomena with classical equipment while the boundary separating quantum from classical is unknown. The mechanism of the SG-experiment is analyzed, and the Qubit nature normally projected onto the data is traced to quantization of the detector, labelled a Qudet. This novel interpretation should have downstream consequences, such as the SG-based interpretation of Bell’s Theorem.

摘要： The diversity of e-commerce Business to Consumer systems and the significant increase in their use during the COVID-19 pandemic as a one of the primary channels of retail commerce, has made all the most important the need to measuring their quality using practical methods. This paper presents a quality evaluation framework for web metrics that are B2C specific. The framework uses three dimensions based on end-user interaction categories, metrics internal specs and quality sub-characteristics as defined by ISO25010. Beginning from the existing large corpus of general-purpose web metrics, e-commerce specific metrics are chosen and categorized. Analysis results are subjected to a data mining analysis to provide association rules between the various dimensions of the framework. Finally, an ontology that corresponds to the framework is developed to answer to complicated questions related to metrics use and to facilitate the production of new, user defined meta-metrics.

摘要： Recent years have witnessed the expeditious evolution of intelligentsmart devices and autonomous software technologies with the expandeddomains of computing from workplaces to smart computing in everydayroutine life activities. This trend has been rapidly advancing towards the newgeneration of systems where smart devices play vital roles in acting intelligently on behalf of the users. Context-awareness has emerged from the pervasive computing paradigm. Context-aware systems have the ability to acquirecontextual information from the surrounding environment autonomously,perform reasoning on it, and then adapt their behaviors accordingly. With theproliferation of context-aware systems and smart sensors, real-time monitoring of environmental situations (context) has become quite trivial. However,it is often challenging because the imperfect nature of context can cause theinconsistent behavior of the system. In this paper, we propose a contextaware intelligent decision support formalism to assist cognitively impairedpeople in managing their routine life activities. For this, we present a semanticknowledge-based framework to contextualize the information from the environment using the protégé ontology editor and Semantic Web Rule Language(SWRL) rules. The set of contextualized information and the set of rulesacquired from the ontology can be used to model Context-aware Multi-AgentSystems (CMAS) in order to autonomously plan all activities of the users andnotify users to act accordingly. To illustrate the use of the proposed formalism,we model a case study of Mild Cognitive Impaired (MCI) patients usingColored Petri Nets (CPN) to show the reasoning process on how the contextaware agents collaboratively plan activities on the user’s behalf and validatethe correctness properties of the system.

摘要： Internet-of-Things(IoT)has attained a major share in embedded software development.The new era of specialized intelligent systems requires adaptation of customized software engineering approaches.Currently,software engineering has merged the development phases with the technologies provided by industrial automation.The improvements are still required in testing phase for the software developed to IoT solutions.This research aims to assist in developing the testing strategies for IoT applications,therein ontology has been adopted as a knowledge representation technique to different software engineering processes.The proposed ontological model renders 101 methodology by using Protégé.After completion,the ontology was evaluated in three-dimensional view by the domain experts of software testing,IoT and ontology engineering.Satisfied results of the research are showed in interest of the specialists regarding proposed ontology development and suggestions for improvements.The Proposed reasoning-based ontological model for development of testing strategies in IoT application contributes to increase the general understanding of tests in addition to assisting for the development of testing strategies for different IoT devices.

摘要： 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.

摘要： Rich semantic information in natural language increases team efficiency in human collaboration, reduces dependence on high precision data information, and improves adaptability to dynamic environment. We propose a semantic centered cloud control framework for cooperative multi-unmanned ground vehicle(UGV) system. Firstly, semantic modeling of task and environment is implemented by ontology to build a unified conceptual architecture, and secondly, a scene semantic information extraction method combining deep learning and semantic web rule language(SWRL) rules is used to realize the scene understanding and task-level cloud task cooperation. Finally, simulation results show that the framework is a feasible way to enable autonomous unmanned systems to conduct cooperative tasks.

摘要： Psoriasis is a chronic,non-communicable,painful,disfiguring and disabling disease for which there is no cure,with great negative impact on patients’quality of life(QoL).Diagnosis and treatment with traditional Chinese medical technique based on syndrome differentiation has been used in practice for a long time and proven effective,though,up to now,there are only a few available studies about the use of semantic technologies and the knowledge systems that use Traditional Chinese Medicine(TCM)-syndrome differentiation for information retrieval and automated reasoning.In this paper we use semantic techniques based on ontologies to develop a prototypical system for the diagnosis of Psoriasis.For this purpose,a domain ontology is developed for syndrome differentiation of psoriasis vulgaris(PV).This ontology is founded on an adapted version of the general formal ontology(GFO),with the evidence-based clinical practice guideline of TCM for psoriasis vulgaris(Guideline 2013)as the primary data sources.The implemented prototype,called ONTOPV,contains this domain ontology and is aimed at a decision support system for diagnosis and treatment of PV.This system uses a case-database for Case Based Reasoning(CBR),combined with fuzzy pattern recognition.Experimental results show that the ONTOPV realizes the basic functionalities of data collection,querying,browsing and navigation,and supports rule-based knowledge reasoning,and integrates fuzzy pattern recognition.It can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis.

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： Ontology mapping is the tache in shareing and communicating with each other among ontologies. At the moment, the most important process achieve through manual. It has been suggested by the statistics and machine learning methods to improve Ontology mapping method, but without a successful application software. This paper shows how an automated ontology matching process can be achieved with ontology definition model and ontology mapping technology. The process consists of two steps: 1. using existing ontology mapping technology through several aspects of ontology definition model to complete an automatic matching formula 2. through the use of the formula to accomplish ontology mapping process. In a high degree of precision, different matching formula can be choosed.

摘要： By building the business process ontology model and OWL description, a new business process ontology storage schema is proposed. In this schema, according to the character of business process ontology, the generic information of instance of business process ontology is stored in the multiple tables through the reflection of business process ontology model to relational database model, which increases the query efficiency by reducing the cost of table join and benefit to reusing of business process and logic reasoning.

摘要： Aiming at the problem that current IR model could not supply the somatic retrieval, OB-VSM (Ontology-Based VSM for Semantic Information Retrieval) was proposed. This model expressed the documents and user's requests by the ontology based on description logic and put forward the method which can compute the similarity between the logic view of documents and requests. The data structure of this model was also given. Experiment and model analyse show that F-value is improved 10﹪ or so higher than VSM and this model performed very well.

摘要： Using traditional services discovery approaches, the semantic similarity is obtained by computing the semantic distance within a single ontology. Such approach is insufficient in this context, since semantic heterogeneity is not exploited enough. Therefore, considering this situation, we design a semantic-based framework for Web services discovery in heterogeneous ontology environment.

摘要： 本文针对现有的信息检索系统存在的检索不全、精度不高等问题，提出了将Ontology融合到信息检索技术中的思想，建立了基于Ontology的知识检索模型，并在分析模型各个模块的功能之后，开发了基于Ontology的企业文档知识管理系统，并对基于本体的知识检索性能予以验证。实验表明，该检索系统具有一定的智能性并能有效地提高查全率和查准率。

摘要： 本文针对现有的信息检索系统存在的检索不全、精度不高等问题，提出了将Ontology融合到信息检索技术中的思想，建立了基于Ontology的知识检索模型，并在分析模型各个模块的功能之后，开发了基于Ontology的企业文档知识管理系统，并对基于本体的知识检索性能予以验证。实验表明，该检索系统具有一定的智能性并能有效地提高查全率和查准率。

摘要： 本文针对现有的信息检索系统存在的检索不全、精度不高等问题，提出了将Ontology融合到信息检索技术中的思想，建立了基于Ontology的知识检索模型，并在分析模型各个模块的功能之后，开发了基于Ontology的企业文档知识管理系统，并对基于本体的知识检索性能予以验证。实验表明，该检索系统具有一定的智能性并能有效地提高查全率和查准率。

摘要： 本文针对现有的信息检索系统存在的检索不全、精度不高等问题，提出了将Ontology融合到信息检索技术中的思想，建立了基于Ontology的知识检索模型，并在分析模型各个模块的功能之后，开发了基于Ontology的企业文档知识管理系统，并对基于本体的知识检索性能予以验证。实验表明，该检索系统具有一定的智能性并能有效地提高查全率和查准率。

摘要： 本文针对现有的信息检索系统存在的检索不全、精度不高等问题，提出了将Ontology融合到信息检索技术中的思想，建立了基于Ontology的知识检索模型，并在分析模型各个模块的功能之后，开发了基于Ontology的企业文档知识管理系统，并对基于本体的知识检索性能予以验证。实验表明，该检索系统具有一定的智能性并能有效地提高查全率和查准率。

摘要： 本发明实施例提供一种基于本体Ontology概念的网页服务集成方法和系统，所述方法包括：构建步骤，构建一个基于Ontology概念体系的可支持访问接口数据类型库；检查步骤，根据所述数据类型库，对新导入的网页服务的访问接口的所有接口参数的数据类型进行合法性检查；更新步骤，根据检查结果或者操作指示，动态更新所述数据类型库。通过本发明实施例的方法和系统，利用Ontology概念体系替代传统Web Service集成系统的常见数据类型列表，从而使得Web Service集成系统对WebService访问接口数据类型的支持从“语法级”提升到“语义级”，使得Web Service集成系统对访问接口复杂数据类型(特别是结构化的复杂数据类型)的集成成为可能。

摘要： 本发明属于装配公差规范设计及计算机辅助公差设计(CAT)技术领域，具体涉及一种基于Ontology的公差等级智能化设计方法。具体包括以下步骤：(1)构建公差等级的本体；(2)基于模糊综合评判原理，建立公差等级规范的SWRL推理规则；(3)提取零件公差等级的相关公差信息；(4)构建公差等级实例化本体模型；(5)将Jess推理机与SWRL规则结合，对公差等级进行推理并将结果输出。利用本体对公差等级领域知识构建本体推理知识框架，根据显性领域知识推理隐含知识拓展公差等级知识库；结合语义网络规则语言规则库，针对几何产品的具体设计及使用环境条件推理公差等级的设计。本发明能够提供公差等级的一致性知识描述框架，使得计算机能够根据几何产品的形状尺寸参数自动的选择合适的公差等级，优选公差等级范围。为公差等级的智能化设计提供了一种快捷有效的方法。

摘要： 本发明属于装配公差规范设计及计算机辅助公差设计(CAT)技术领域，具体涉及一种基于Ontology的装配公差规范智能化设计方法。具体包括以下步骤：(1)构建装配公差规范的本体；(2)建立装配公差规范的SWRL推理规则；(3)提取装配公差规范的相关公差信息；(4)构建装配公差规范实例化本体模型；(5)将Jess推理机与SWRL规则结合，对装配公差规范进行推理并结果推理结果输出。利用本体对装配公差规范领域知识构建本体推理知识框架，根据显性领域知识推理隐含知识拓展装配公差规范知识库；结合语义网络规则语言规则库，针对几何产品的具体设计及使用环境条件推理装配公差规范的设计参数。本发明能够提供装配公差规范的一致性知识描述框架，使得计算机能够根据几何产品的形状尺寸参数自动的选择合适的公差原则、公差类型及尺寸参数等，为装配公差规范的智能化设计提供了一种快捷有效的方法。

摘要： 本发明提供一种基于Ontology的深度信念网络模型及其生成方法。本发明试图将本体论和深度信念网络结合起来，形成一个新的模型。本体中最重要的关系之一是本体的层次结构。表达深度学习节点属性和函数转换使用本体的概念属性和分类关系。本发明在这里建立的深度信念网络模型只使用本体概念的亲子关系。同时，本发明选择自下而上构建本体，这样，本发明可以最大限度地训练深度信念网络模型，而不会影响本体节点的表示。

摘要： 本发明实施例提供一种基于本体Ontology概念的网页服务集成方法和系统，所述方法包括：构建步骤，构建一个基于Ontology概念体系的可支持访问接口数据类型库；检查步骤，根据所述数据类型库，对新导入的网页服务的访问接口的所有接口参数的数据类型进行合法性检查；更新步骤，根据检查结果或者操作指示，动态更新所述数据类型库。通过本发明实施例的方法和系统，利用Ontology概念体系替代传统Web Service集成系统的常见数据类型列表，从而使得Web Service集成系统对WebService访问接口数据类型的支持从“语法级”提升到“语义级”，使得Web Service集成系统对访问接口复杂数据类型(特别是结构化的复杂数据类型)的集成成为可能。

摘要： 本发明公开了一种基于Ontology的语义检索方法。首先，构建本体库，完成本体规则的建立。用户输入检索关键字，在本体支持下，通过概念相似度计算得到相似度的大小。然后，根据设定的阈值，把相似度的值高于阈值的概念添加到原始的检索关键字集合中，扩展为新的概念集。把新的概念集作为源输入词到本体库中进行检索。最后把检索到的结果返回给用户。本发明在本体推理技术的支持下，通过对本体中属性的应用实现了实例的准确查找，使信息检索的查全率、查准率比现有技术都有所提高。本发明将关键字简单匹配的语法层次提高到计算机可以理解的语义层次，使计算机能够读懂输入的关键词，从而实现了检索的智能化。

摘要： 一种本体数据管理系统包括：数据存储模块，用于对磁盘数据页进行组织和管理且向上层提供以逻辑页为单位的存储管理服务；数据管理模块，用于进行三元组形式的本体数据管理，其包括三元组在数据页内的存储组织、访问、以及更新；数据处理模块，用于负责本体数据的导入、查询、以及更新处理；以及用户界面模块，用于负责用户与系统的交互。