FaBiO and CiTO: Ontologies for describing bibliographic resources and citations

Semantic publishing is the use of Web and Semantic Web technologies to enhance the meaning of a published journal article, to facilitate its automated discovery, to enable its linking to semantically related articles, to provide access to data within the article in actionable form, and to facilitate integration of data between articles. Recently, semantic publishing has opened the possibility of a major step forward in the digital publishing world. For this to succeed, new semantic models and visualization tools are required to fully meet the specific needs of authors and publishers. In this article, we introduce the principles and architectures of two new ontologies central to the task of semantic publishing: FaBiO, the FRBR-aligned Bibliographic Ontology, an ontology for recording and publishing bibliographic records of scholarly endeavours on the Semantic Web, and CiTO, the Citation Typing Ontology, an ontology for the characterization of bibliographic citations both factually and rhetorically. We present those two models step by step, in order to emphasise their features and to stress their advantages relative to other pre-existing information models. Finally, we review the uptake of FaBiO and CiTO within the academic and publishing communities.     

FaBiO and CiTO: Ontologies for describing bibliographic resources and citations

Semantic publishing is the use of Web and Semantic Web technologies to enhance the meaning of a published journal article, to facilitate its automated discovery, to enable its linking to semantically related articles, to provide access to data within the article in actionable form, and to facilitate integration of data between articles. Recently, semantic publishing has opened the possibility of a major step forward in the digital publishing world. For this to succeed, new semantic models and visualization tools are required to fully meet the specific needs of authors and publishers. In this article, we introduce the principles and architectures of two new ontologies central to the task of semantic publishing: FaBiO, the FRBR-aligned Bibliographic Ontology, an ontology for recording and publishing bibliographic records of scholarly endeavours on the Semantic Web, and CiTO, the Citation Typing Ontology, an ontology for the characterization of bibliographic citations both factually and rhetorically. We present those two models step by step, in order to emphasise their features and to stress their advantages relative to other pre-existing information models. Finally, we review the uptake of FaBiO and CiTO within the academic and publishing communities.     

浅析边远地区政府信息化的发展

电子政务是指政府机构运用现代网络通讯与计算机技术,将政府管理和服务职能通过精简、优化、整合、重组后在互联网上实现,以打破时间、空间以及条块分割的制约,从而加强对政府业务运作的有效监管,提高政府的运作效率,并为社会公众提供高效、优质、廉洁的一体化管理和服务。电子政务强调政府业务通过电子化手段运作及其实现过程,而电子政府则是通过电子化手段来运作政府业务特征的政府形态的描述。本文以位于内蒙古最西部的兴安盟为例,对边远地区发展政府信息化的重要性、现状、存在的问题和困难以及今后的发展提出了阐述。     

遗传规划算法在化合物设计、筛选研究中的应用

采用计算机科学中新兴的遗传规划算法思想，结合化学物质的本质特点，运用进化操作来实现化合物的合成设计和筛选。文中针对算法运用讨论了函数集、终止集问题，通过计算元素组成的字符串的化合价的结果来确定适应度函数，既符合化学学科的本质规律，又满足了算法的要求。通过复制、交换和突变操作，经过多代次的进化终止，取得了满意的结果。文章还针对其实用性，从化学本质出发，提出了建议和研究方向。可以说本文是遗传规划在化学化合物合成筛选中运用的成功探索，同时也为进一步研究打下了坚实的基础。     

Entrainment and musicality in the human system interface

What constitutes our human capacity to engage and be in the same frame of mind as another human? How do we come to share a sense of what ‘looks good’ and what ‘makes sense’? How do we handle differences and come to coexist with them? How do we come to feel that we understand what someone else is experiencing? How are we able to walk in silence with someone familiar and be sharing a peaceful space? All of these aspects are part of human ‘interaction’. In designing interactive technologies designers have endeavoured to explicate, analyse and simulate, our capacity for social adaptation. Their motivations are mixed and include the desires to improve efficiency, improve consumption, to connect people, to make it easier for people to work together, to improve education and learning. In these endeavours to explicate, analyse and simulate, there is a fundamental human capacity that is beyond technology and that facilitates these aspects of being, feeling and thinking with others. That capacity, we suggest, is human entrainment. This is our ability to coordinate the timing of our behaviours and rhythmically synchronise our attentional resources. Expressed within the movements of our bodies and voices, it has a quality that is akin to music. In this paper, disparate domains of research such as pragmatics, social psychology, behaviourism, cognitive science, computational linguistics, gesture, are brought together, and considered in light of the developments in interactive technology, in order to shape a conceptual framework for understanding entrainment in everyday human interaction.     

Ergonomics and the quality of living

The purpose of this paper (which is based on the presidential address to the Annual Meeting of the Ergonomics Society of Australia and New Zealand, at Melbourne University on 19 August 1971) is to consider ways in which ergonomics could contribute to the quality, even maintenance, of life, and to consider the need and justification for ergonomics to adopt this role. The author discusses society unhealth, environmental degradation, drug abuse and death as examples of social issues in which ergonomics could be applied with advantage. He concludes that ergonomics has much to contribute, and responsibility to contribute, to the quality of living, particularly in bringing and interdisciplinary and scientific approach to such issues, whose improvement is presently hindered by uninformed enthusiasm, prejudice, sectional interests and apathy.     

基于大数据平台的点负荷近中期负荷预测及行业负荷增长特征分析

为保障电力部门对于台区内设备的维护,需要预测台区的负荷。因此供电部门就必须具备预测未来一年以至更长时间的台区负荷的能力,防止因负荷过载对变压器造成损坏,并保证城市的可靠供电。对台区负荷的预测难点在于对于城中村的预测,城中村流动人口多,产业类型复杂多样,受就业环境、经济发展的影响深,表现为负荷的变化相较于其他的台区随机性更强。鉴于此原因,我们以大数据平台为依托,进行单因素变量的预测,采用季节分解模型对历史用电负荷进行季节分解;然后分别用线性回归和自回归积分滑动平均模型（ARIMA）对季节分解出来的趋势和季节、残差成分进行预测,获得精度良好的负荷预测模型,最后选择两个特征鲜明的行业进行比较,分析其负荷增长特征。     

基于Unity3D的药用植物学实训虚拟仿真系统

分析药用植物学实训的难点以及局限性,调查研究中医药院校师生及中医药爱好者对实训的建议,结合虚拟现实技术,使用Unity3D模拟再现真实的药用植物实训场景.实现跨时空学习中药的性味归经、功效主治、配伍禁忌等,认识中药的植物学特征,了解道地药材的生长环境,辨别道地药材及鉴别其特征,采摘中药全株或入药部位.为增强学习的趣味性,加入四季变化,昼夜交替及不同天气等元素,优化环境.另外不同环境可发布任务,以游戏的形式完成任务获得奖励.将虚拟现实应用到实际教学培训中,提高学习效率,增加专业知识,培养自救能力,有效锻炼使用者的安全意识,减少安全事故的发生.     

排序学习研究进展与展望

排序学习利用机器学习技术去训练排序模型以解决排序问题,是信息检索与机器学习交叉领域的一个新兴研究热点.越来越多的排序学习方法已经应用于实际系统中,如搜索引擎和推荐系统等.本文概括了排序学习的研究进展,并进行展望.首先,阐述了排序学习问题.然后,对排序学习方法进行了分类,并重点分析了依据训练排序模型时所采用的不同机器学习技术的排序学习方法类别.本文还介绍了一些代表性的标准排序学习数据集,对排序学习方法在若干领域的成功应用进行了总结,并归纳了一些排序学习方法软件包.最后,对排序学习的未来发展趋势和挑战进行了展望和探讨.     

Flexible neuro-fuzzy systems

In this paper, we derive new neuro-fuzzy structures called flexible neuro-fuzzy inference systems or FLEXNFIS. Based on the input-output data, we learn not only the parameters of the membership functions but also the type of the systems (Mamdani or logical). Moreover, we introduce: 1) softness to fuzzy implication operators, to aggregation of rules and to connectives of antecedents; 2) certainty weights to aggregation of rules and to connectives of antecedents; and 3) parameterized families of T-norms and S-norms to fuzzy implication operators, to aggregation of rules and to connectives of antecedents. Our approach introduces more flexibility to the structure and design of neuro-fuzzy systems. Through computer simulations, we show that Mamdani-type systems are more suitable to approximation problems, whereas logical-type systems may be preferred for classification problems.     

图像-文本相关性挖掘的Web图像聚类方法

为了实现Web图像检索结果的聚类,提出了一种Web图像的图聚类方法.首先定义了两种类型关联:单词与图像结点之间的异构链接以及单词结点之间的同构链接.为了克服传统的TF-IDF方法不能直接反映单词与图像之间的语义关联局限性,提出并定义了单词可见度(visibility)这一属性,并将其集成到传统的tf-idf模型中以挖掘单词-图像之间关联的权重.根据LDA(latent Dirichlet allocation)模型,单词-单词之间关联权重通过一个定义的主题相关度函数来计算.最后,应用复杂图聚类和二部图协同谱聚类等算法验证了在图模型上引入两种相关性关联的有效性,达到了改进了Web图像聚类性能的目的.     

集群负载均衡--CSM的实现

对于现在的互联网络通信状况,负载均衡显示其越来越多的重要性,通常实现负载均衡是使用软件并结合相应的算法,该文所描述的是利用Cisco公司的CSM模块来实现安全可靠的负载均衡,CSM模块将客户机的请求分发到不同的虚拟服务器,配合Cisco MSFC模块并合理地进行DNS的配置,实现网络服务的负载均衡。简要介绍了CSM模块的工作原理,如何配置DNS,如何设置虚拟主服务器,以及如何对系统CSM模块进行设置做了描述。     

Age is more than just a number: implications for an aging workforce in the US transportation sector

The US workforce is aging. At the same time, there are a record number of open positions in the transportation sector, which has traditionally been a well-paying, but stressful and schedule-dependent, occupation. Due to increasing longevity, need, and ability to work, a possible solution to the transportation workforce shortfall may lie within the retention and recruitment of older workers. This paper uses a socio-technical framework to examine the pertinent, though scant, literature and data related to older workforce demographics and operational needs, the regulatory environment, requisite knowledge, skills and abilities, and application of support technology and training. Although there is evidence of age-related changes in physiology and cognition, the current science remains unable to resolve how an older workforce may most appropriately be applied to transportation to maximize system safety and minimize negative impact to worker well-being.     

一种新闻网页关键信息的提取算法

针对网页正文提取算法缺乏通用性,以及对新闻网页的提取缺乏标题、时间、来源信息的问题,提出一种新闻关键信息的提取算法newsExtractor。该算法首先通过预处理将网页转换成行号和文本的集合,然后根据字数最长的一句话出现在新闻正文的概率极高的特点,从正文中间开始向两端寻找正文的起点和终点提取新闻正文,根据最长公共子串算法提取标题,构造正则表达式并以行号辅助判断提取时间,根据来源的格式特点并辅以行号提取来源;最后构造了数据集与国外开源软件newsPaper进行提取准确率的对比实验。实验结果表明,newsExtractor在正文、标题、时间、来源的平均提取准确率上均优于newsPaper,具有通用性和鲁棒性。     

Development of a strategic research plan for an academic department through the use of quality function deployment

Quality Function Deployment (QFD) is a popular approach for formalizing the process of listening to “the voice of the customer,” and assigning responsibilities to members of an organization in an effort to respond effectively to customer needs, QFD is being used by the Department of Industrial Engineering at Mississippi State University to help identify key customers for departmental research efforts, to identify and track the research needs of those customers, to fashion a comprehensive strategic plan for departmental research activities based on customer needs, to deploy various research functions and responsibilities to specific faculty members or groups, and to track research performance relative to goals. This approach appears to be an excellent means of formalizing the process of strategic research planning.     

A Manifesto for Agent Technology: Towards Next Generation Computing

The European Commission's eEurope initiative aims to bring every citizen, home, school, business and administration online to create a digitally literate Europe. The value lies not in the objective itself, but in its ability to facilitate the advance of Europe into new ways of living and working. Just as in the first literacy revolution, our lives will change in ways never imagined. The vision of eEurope is underpinned by a technological infrastructure that is now taken for granted. Yet it provides us with the ability to pioneer radical new ways of doing business, of undertaking science, and, of managing our everyday activities. Key to this step change is the development of appropriate mechanisms to automate and improve existing tasks, to anticipate desired actions on our behalf (as human users) and to undertake them, while at the same time enabling us to stay involved and retain as much control as required. For many, these mechanisms are now being realised by agent technologies, which are already providing dramatic and sustained benefits in several business and industry domains, including B2B exchanges, supply chain management, car manufacturing, and so on. While there are many real successes of agent technologies to report, there is still much to be done in research and development for the full benefits to be achieved. This is especially true in the context of environments of pervasive computing devices that are envisaged in coming years. This paper describes the current state-of-the-art of agent technologies and identifies trends and challenges that will need to be addressed over the next 10 years to progress the field and realise the benefits. It offers a roadmap that is the result of discussions among participants from over 150 organisations including universities, research institutions, large multinational corporations and smaller IT start-up companies. The roadmap identifies successes and challenges, and points to future possibilities and demands; agent technologies are fundamental to the realisation of next generation computing.     

Trailer truck trajectory optimization: the transportation of components for the Airbus A380

European aircraft manufacturer, Airbus, has started a program to develop the largest aircraft ever built, the Airbus A380, which would be able to carry between 550 to 800 passengers on two decks. The six components of the airplane are to be produced in different European cities. They need to be transported from these cities to Toulouse, France, for assembly, and several means of transportation have been investigated. The sizes of the freights, the length of the itinerary, and the narrowness of the critical passages constitute a challenge that classical transportation techniques in the domain of oversized convoys cannot easily overcome. Therefore, Airbus and the French national agency in charge of road management launched a research and development project divided into two parts. The objective of the first part is to adapt functions first to develop for mobile robots to the complex kinematics of trailer-truck systems and integrating these functions into a software platform. The second part of the project aims to define and develop a computer-aided driving system on board the vehicles in order to help the drivers carry out their task. This paper provides a brief overview of the state of the art in trajectory planning for mobile robots and vehicles, and discusses the development of original solutions to address both the kinematic complexity of one of the vehicles and the need to optimize the distance to obstacles.     

低碳经济时代的建筑之道

低碳建筑是营造可持续发展未来的关键。本文通过对低碳建筑的全面分析以及对全球知名的设计实例的分析,探讨适应低碳经济时代的建筑发展的方向、目标,指出低碳建设和设计要走向集约型、走向自然、走向效率设计、走向适应性设计、走向循环设计、走向智能化设的发展途径,以及低碳建筑未来的发展方向。     

Extension Language Automation of Embedded System Debugging

Embedded systems contain several layers of target processing abstraction. These layers include electronic circuit, binary machine code, mnemonic assembly code, and high-level procedural and object-oriented abstractions. Physical and temporal constraints and artifacts within physically embedded systems make it impossible for software engineers to operate at a single layer of processor abstraction. The Luxdbg embedded system debugger exposes these layers to debugger users, and it adds an additional layer, the extension language layer, that allows users to extend both the debugger and its target processor capabilities. Tcl is Luxdbg's extension language. Luxdbg users can apply Tcl to automate interactive debugging steps, to redirect and to interconnect target processor input-output facilities, to schedule multiple processor execution, to log and to react to target processing exceptions, to automate target system testing, and to prototype new debugging features. Inclusion of an extension language like Tcl in a debugger promises additional advantages for distributed debugging, where debuggers can pass extension language expressions across computer networks.