本体匹配中基于词义组合的词法分析算法

针对本体匹配中相似性词法分析算法的不足,提出一种基于词义组合的词法分析算法.该算法首先通过WordNet发现本体中单词的合适词义,并扩展它们,然后基于本体里的语义元素形式化的定义实体的词法信息标记,最后推理出实体词法信息间的包含关系.针对一组工业本体的测试结果表明该算法有助提高系统的覆盖率.     

基于演化传播模型的本体内聚程度分析

本体演化是本体工程领域的研究热点之一,当前研究大多侧重于演化策略或演化过程中使用的技术的研究,对于如何最化本体适应变化的能力至今没有明确结论,本文从一个全新的角度来解决这一问题,通过计算给定本体的内聚程度来量化本体适应变化的能力.本文提出了一种包含本体变更影响信息的演化传播模型;定义了能使该模型形式化表示的编码ETMC...     

本体的继承及一致性分析

本体的继承理论是目前尚未解决的重要问题.该文通过扩展继承的数学理论,系统研究了本体的继承语义、继承机制等问题.主要工作有:(1)继承系统的数学理论是描述继承系统和探讨其一致性、二义性等问题的一个重要基础理论.该理论已被广泛引用.但使用该理论描述允许例外的类/属性继承系统会出现假冲突.本文发现并定义了假冲突,扩展了原理论的单词表,重新定义了结论集、可继承等概念,使继承断言的接地扩展集不因假冲突而产生二义.从而解决了假冲突的问题.(2)证明原继承系统中的大部分重要定理在扩展后的继承系统中仍然成立,并且提出了新的定理3)将本体(D,P,U,V,H)转换为三元组(F,E,I)的表示形式,证明这种转换不削弱本体的表示能力,并且将本体映射到扩展后的继承系统,利用继承系统的定义、定理分析本体继承的一致性问题,并证明这种映射对本体的包含断言的判定是完备的.4)设计了上、下扫描算法,通过检测系统变化可能引起的冲突,保持系统的一致性.对本体继承的一致性分析为发展迅速的面向本体工程方法提供了有力支持.     

Ontology Management in Enterprises

In today's increasingly competitive business market, many large organisations have begun to research and develop flexible enterprises in order to be able to quickly respond to market opportunities. They are seeking ways to maximise the power of information assets stored across hundreds of their databases and application programs by bringing them into open interoperable environments. However, this effort has been seriously hindered by various kinds of heterogeneity. Each system has its own domain model for its environment and efficient task operations. However, in order for systems to communicate and co-operate effectively, a shared domain model is required. The semantics of the common, and each local, model must be captured explicitly and formally to enable meaningful information exchange.The semantics of diverse information resources are captured by ontologies — definitions of terms as used in data sources, i.e. concepts and the relationships between concepts. When defining the relationships between data sources, we rely on ontologies to make the meaning of the different vocabularies used explicit. This paper explores the role of ontologies in enterprises, and proposes a methodology for managing enterprise ontology resources and a suite of support tools.     

Moderner Entwurf von Mikrosystemen

Microsystem technologies are the basis for the realization of miniaturized, intelligent embedded systems. Microsystems are characterized by the optimized application of “microtechnologies” and “systems engineering concepts”. Microtechnologies, e. g microelectronics, micromechanics and microoptics are those fabrication technologies which enable miniaturization. Packaging and interconnect technologies enable the configuration of individual components, innovative concepts for system architectures and signal processing enable the integration and optimization of components into systems and finally the concepts of systems engineering allow for the complex design process by attaching methodologies and computer aided tools for planning, specification, modeling, simulation, design, verification and test. Designing, verifying and testing microsystems and microsystem components will not be feasible without the intensive use of design methodologies and supporting computer aided design tools (CAE, CAD, CASE, CAT, ...)     

Synthesis of area-efficient and high-throughput rate data formatconverters

This paper proposes two design methodologies for synthesis of area-efficient data format converters (DFCs) with high throughput rate. DFCs are grouped into various classes according to the specification of design parameters. The first design methodology is suitable for design of many representative classes of DFCs. The designs using this methodology are based on a two-dimensional (2-D) architecture. They have maximum throughput rate and are area-efficient. Various design examples are shown to demonstrate improved performance, flexibility and usefulness of this design methodology. For several representative problems, the area requirements of our designs are compared against those obtained by earlier design methodologies. For all the problems considered, this methodology leads to compact designs. The second design methodology employs an architecture using dual buffers. The simple and regular architecture using dual buffers leads to area-efficient DFCs. The design procedure using this methodology is simple and can reduce the design effort in many applications     

一种基于图的DL-Lite本体最小不可满足保持子集的计算方法

演变中的本体常出现不一致性问题,这将导致标准推理失效.针对不一致性问题,最小不可满足保持子集能够提供本体中概念不可满足的解释.计算最小不可满足保持子集是本体工程中的一项重要的非标准推理任务,但多数计算方法须借助外部的推理机,导致计算的效率不高.为了减少对推理机的依赖,本文提出了一种基于图的最小不可满足保持子集的计算方法.新的方法面向DL-Lite描述逻辑家族,将DL-Lite本体转换成图,将本体中的最小不可满足保持子集转换成图上的最小不可满足保持路径对.对比实验表明,基于图的方法提高了计算的效率和稳定性.     

本体中的复杂网络特性研究

从复杂网络的视角研究语义网中本体的拓扑结构，通过分析不同领域本体中类与子类所形成的类图关系，及其表现出的网络特性，发现这种类图在无向网络的意义下具有无标度特性，为本体结构相似度等计算提供了新方法。     

Design and development of dynamic Agri-ontology for IoT interoperability

In recent years, the usage and applications of Internet of Things (IoT) have increased exponentially. IoT connects multiple heterogeneous devices like sensors, micro controllers, actuators, smart devices like mobiles, watches, etc. IoT contributes the data produced in the context of data collection, including the domains like military, agriculture, healthcare, etc. The diversity of possible applications at the intersection of the IoT and the web semantics has prompted many research teams to work at the interface between these two disciplines. This makes it possible to collect data and control various objects in transparent way. The challenge lies in the use of this data. Ontologies address this challenge to meet specific data needs in the IoT field. This paper presents the implementation of a dynamic agriculture ontology-building tool that parses the ontology files to extract full data and update it based on the user needs. The technology is used to create the angular library for parsing the OWL files. The proposed ontology framework would accept user-defined ontologies and provide an interface for an online updating of the owl files to ensure the interoperability in the agriculture IoT.     

Exploring Promising Technology in ICT Sector Using Patent Network and Promising Index Based on Patent Information

This research proposes the use of a patent analysis methodology that can suggest promising technology in the ICT sector at the micro‐level. This approach identifies core patents from the technology field, groups them as research frontiers (RFs), and develops a visualized network based on the citing relationships to monitor the relationship among RFs. In addition, it calculates a “promising index” based on the growth potential, impact, and marketability of patents to ultimately derive promising RFs. To illustrate the proposed approach, this research presents analysis results for a chosen area, which is the user interface and user experience (UI/UX) technology field. By proposing promising technological fields at the micro‐level, the proposed methodology will serve as a useful decision‐making support tool in selecting R&D projects, technology planning, and determining technology policy direction.     

Measuring Semantic Similarity Between Biomedical Concepts Within Multiple Ontologies

Most of the intelligent knowledge-based applications contain components for measuring semantic similarity between terms. Many of the existing semantic similarity measures that use ontology structure as their primary source cannot measure semantic similarity between terms and concepts using multiple ontologies. This research explores a new way to measure semantic similarity between biomedical concepts using multiple ontologies. We propose a new ontology-structure-based technique for measuring semantic similarity in single ontology and across multiple ontologies in the biomedical domain within the framework of Unified Medical Language System (UMLS). The proposed measure is based on three features: 1) cross-modified path length between two concepts; 2) a new feature of common specificity of concepts in the ontology; and 3) local granularity of ontology clusters. The proposed technique was evaluated relative to human similarity scores and compared with other existing measures using two terminologies within UMLS framework: Medical Subject Headings and Systemized Nomenclature of Medicine Clinical Term. The experimental results validate the efficiency of the proposed technique in single and multiple ontologies, and demonstrate that our proposed measure achieves the best results of correlation with human scores in all experiments.      

基于支持向量机的中文模糊本体映射

Taking into account that fuzzy ontology mapping has wide application and cannot be dealt with in many fields at present, a Chinese fuzzy ontology model and a method for Chinese fuzzy ontology mapping are proposed. The mapping discovery between two ontologies is achieved by computing the similarity between the concepts of two ontologies. Every concept consists of four features of concept name, property, instance and structure. First, the algorithms of calculating four individual similarities corresponding to the four features are given. Secondly, the similarity vectors consisting of four weighted individual similarities are built, and the weights are the linear function of harmony and reliability. The similarity vector is used to represent the similarity relation between two concepts which belong to different fuzzy ontolgoies. Lastly, Support Vector Machine (SVM) is used to get the mapping concept pairs by the similarity vectors. Experiment results are satisfactory.     

用于LDA的无监督特征选择(英文)

As a generative model,Latent Dirichlet Allocation Model,which lacks optimization of topics' discrimination capability focuses on how to generate data,This paper aims to improve the discrimination capability through unsupervised feature selection.Theoretical analysis shows that the discrimination capability of a topic is limited by the discrimination capability of its representative words.The discrimination capability of a word is approximated by the Information Gain of the word for topics,which is used to d...     

考虑评论质量的自注意力胶囊网络评分预测模型

基于评论文档的推荐系统普遍采用卷积神经网络识别评论的语义,但由于卷积神经网络存在“不变性”,即只关注特征是否存在,忽略特征的细节,卷积中的池化操作也会丢失文本中的一些重要信息;另外,使用用户项目交互的全部评论文档作为辅助信息不仅不会提升语义的质量,反而会受到其中低质量评论的影响,导致推荐结果并不准确。针对上述提到的两个问题,该文提出了自注意力胶囊网络评分预测模型(Self-Attention Capsule network Rate prediction, SACR),模型使用可以保留特征细节的自注意力胶囊网络挖掘评论文档,使用用户和项目的编号信息标记低质量评论,并且将二者的表示相融合用以预测评分。该文还改进了胶囊的挤压函数,从而得到更精确的高层胶囊。实验结果表明,SACR在预测准确性上较一些经典模型及最新模型均有显著的提升。     

扩展结构包含推理算法的本体匹配

为了匹配本体时直接分析构造器和公理中所蕴含的语义信息,提出一种扩展结构包含推理算法的本体匹配方法以解决该问题。首先将本体中实体重定向为范式,使得被蕴含的语义信息明显地表示,然后比较范式之间的句法结构以推理来自不同本体的实体间的匹配。针对一组工业本体的测试结果表明该方法具有较好的性能。     

The user era

Richard Nolan, in his model for the evolution of computers and information systems, identifies an “era of the computer” and an “era of the user.” Today, most organizations are moving from the end of the computer era to the beginning of the user era. This paper addresses the U.S. Army's relationship to Nolan's staged-model, and suggests how they are coping with the user era.     

IDEAS02: The role of Foundational Ontologies for Domain Ontology Engineering: a case study in the Software Process Domain

Foundational Ontologies are theoretically well-founded domain independent systems of categories that have been successfully used to improve the quality of conceptual modeling languages and models. In this paper, we present the latest developments in the UFO ontology. Moreover, we elaborate on the relevance of these foundational ontologies in the development of domain ontologies by showing a case study in the software process domain."