Some issues in blockchain for accounting and the supply chain,with an application of distributed databases to virtual organizations

This paper reviews some recent blockchain‐based applications for information capture, distribution and preservation. As part of that review, this paper examines two key concerns with current blockchain designs for accounting and supply chain transactions: data independence and multiple semantic models for the same information distribution problem. Blockchain applications typically integrate database, application and presentation tiers all in the same ledger. This results in a general inability to query information in the ledger and other concerns. Further, since most applications appear to be private blockchain applications, there is a concern of agents needing to accommodate multiple blockchains depending on who their trading partners are and what they request. Finally, this paper uses a distributed database to design a ‘blockchain‐like’ system for virtual organizations.     

语境制约与语义理解

语境是表达和理解语义的基础,语义是表达和理解语境的。语境作为言语交际的重要组成部分,对语义的选择具有很大的决定性,体现为文化语境、社会语境对语义的制约。     

Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern

Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.     

A Content Analysis of Bonus Pack Promotions

Bonus packs created by manufacturers have been characterized by scholars as special factory packs offering the consumer extra product for the same price or at no additional cost. However, this portrayal may fail to fully capture what consumers actually encounter in stores during and following a bonus pack promotion. Indeed, little is known about the types of products that manufacturers promote as bonus packs and how offers for them are specified, how retailers price them, and also what happens when the offers are discontinued. To address these shortcomings, a content analysis is conducted. The results illustrate a richness to bonus pack promotions that previous views of the topic have not described.     

基于可变模糊方法的乡村土地旅游化流转风险评价的集对分析

为解决乡村土地旅游化流转风险评价问题,构建了包含粮食安全受威胁程度、收益分配不公平程度、土地利用结构失衡程度、乡村生态破坏程度以及乡村特色消失程度的乡村土地旅游化流转风险评价指标体系,提出乡村土地旅游化流转风险评价的集对分析—可变模糊模型与方法。首先,基于集对模糊联系度构造可变模糊集理论的相对差异度,进而建立集对分析—可变模糊综合评价模型;然后,结合风险分级特征值运用二元语义方法确定乡村土地旅游化流转风险级别;最后,以泉州市乡村旅游目的地为例进行了实例计算。研究结果表明,所建立的集对分析—可变模糊评价模型与方法不但能够定量辨别乡村旅游地土地旅游化流转的风险等级,而且能够区分同一风险等级下的不同风险大小。     

频繁子图在监控系统数据挖掘中的应用

监控系统数据挖掘研究近年来受到了国内外学者的逐渐关注,监控系统数据挖掘是发现基于视频原始底层数据对应于应用层的语义信息关联及对应关系。视频底层数据特征十分复杂,沿用传统数据挖掘思想去理解和看待监控系统数据挖掘还不够。与一般的数据比较,图能够表达更加丰富的语义。把监控系统视频数据转化为图模型,将频繁子图挖掘算法应用到监控系统语义挖掘中,提出一种新的监控系统语义挖掘方法,与现有的方法相比较,该方法具有有效性和可行性。     

论幽默语言的模糊性

幽默语言是理解层面上的模糊语言，它同模糊语言学中所讨论的既有原型、又有边缘情况的模糊语言是不同的，其模糊性更多地体现在语境的模糊上，语义解释也强烈依赖语境的暗示。而模糊语言学中的模糊语言的产生来源于人类思维的模糊或事物本体的模糊，其实质是概念的不确定性，由词语的语义模糊体现，该模糊性是不能在语境中消除的。模糊语言在语义上的分类有助于人们更好地理解幽默语言。     

浅议语义和交际翻译在川菜菜名翻译中的运用

目前关于川菜菜名研究的文献已经很多，这对四川文化的传播起到了极大的促进作用，但还需进一步深化研究。依据川菜的特点，川菜菜名可分为三类。分别采用不同的翻译策略：非文化莱名，由于其直截了当地传递菜肴本身的信息，因此适用语义翻译；容易引发误解的莱名，由于菜名中合有很多西方人的禁忌，因此可运用交际翻译法，适当地选词和意译，使西方人能够最大程度地理解；有文化内涵的菜名，这一娄菜名，因本身表达较为含蓄，故适宜先用交际翻译将菜肴本身的特色翻译出，后用语义翻译，解释名称中所包含的文化内涵。     

Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology

This research proposes a novel method of identifying and understanding the holistic overview of emerging technologies’ unintended consequences. Latent Semantic Analysis (LSA) text mining technique is employed to yield multiple groups of contextually similar terms from future-oriented data sources, comprising both experts’ and the public's concerns regarding future technologies. Resulting term clusters are considered as new abstractions, or so-called scenarios, of future social impacts. Furthermore, the study acquires greater depth and breadth in conceptualizing social impacts through considering condition- and value-related terms as key linking factors to previous social impact-related literature. Our proposed methodology seeks to gain insights into the utilization of future-oriented data sources for the foresight activity, hoping to mitigate public skepticism and pursue a better social acceptance of emerging technologies.     

A service governance mechanism based on process mining for cloud-based applications

ABSTRACT

With the widely use of cloud computing in enterprise information systems, service governance becomes critical for an enterprise to adapt to a changing business environment. In order to provide a dynamic strategy for continuous service governance, in this paper a comprehensive service analysis solution is proposed to address both design time and run-time requirements for cloud applications. First, a process-centric Semantic Scene Model is composed to combines static business requirements with dynamic execution information. Then service analysis is conducted referring both to the business process mining results from event logs and the Semantic Scene Model given by business model designers. Service governance strategies are generated from the service analysis results and are performed to qualitatively classify the Quality of Service (QoS) of the services. Finally the approach is verified with a transportation logistics service application in a cloud platform. The result shows that our method can get continuous service governance through combining business processes with run-time service analysis.