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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology最新文献

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Significance of Term Relationships on Anonymization 术语关系对匿名化的意义
B. Anandan, Chris Clifton
Sharing data provides great benefit to the research community. But disclosing identifiable, sensitive information such as medical records can cause irreparable damage. A number of methods have been proposed to anon Mize sensitive information. With some approaches, term relationships in the data may help to re-identify the original data given the de-identified data. This papers studies the significance of correlation in data and then analyzes the effect on anonymization techniques including t-plausibility and k-manonymity. Finally, we show how to address correlation in thet-plausibility model.
数据共享为研究界提供了巨大的利益。但是,泄露可识别的、敏感的信息,如医疗记录,可能会造成无法弥补的损害。已经提出了许多方法来匿名化敏感信息。使用某些方法,数据中的术语关系可能有助于在给定去标识数据的情况下重新标识原始数据。本文首先研究了数据中相关性的重要性,然后分析了对匿名化技术的影响,包括t似然性和k匿名性。最后,我们展示了如何在可信性模型中处理相关性。
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引用次数: 26
Semantic Negotiation-Based Service Framework in an M2M Environment M2M环境下基于语义协商的服务框架
P. Jeon, Jang-won Kim, Sukhoon Lee, Chonghyun Lee, D. Baik
In this paper, we propose a semantic negotiation based service framework for the extraction of optimized service information without user intervention in intelligent Machine to Machine (M2M) environment. Proposed semantic negotiation procedure is used for a machine in order to interact with another encountered heterogeneous machine. Through the proposed semantic negotiation procedure, each machine can understand the messages thoroughly sent by the corresponding machine and exchange necessary information.
本文提出了一种基于语义协商的服务框架,用于智能机器对机器(M2M)环境中无需用户干预的优化服务信息提取。提出的语义协商过程用于机器与另一个遇到的异构机器进行交互。通过提出的语义协商过程,每台机器都能彻底理解相应机器发送的消息,并交换必要的信息。
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引用次数: 9
A Multi-agent Organization for the Governance of Machine-to-Machine Systems 机器对机器系统治理的多代理组织
Camille Persson, Gauthier Picard, F. Ramparany
The Machine-to-Machine (M2M) paradigm involves devices (sensors, actuators) interacting together to provide services located in the real world. The Senscity project proposes an infrastructure to enable shared city scale applications -- ie. smart cities. Implementing such an infrastructure raises the problem of providing an agile governance with respect to scalability. Multi-Agent technologies grant adaptability, flexibility and proactivity properties. This paper investigates how they can suit to our problem. It proposes a Multi-Agent organization for expressing the governance strategy of such systems. Using the MOISE Organization framework, it is illustrated within a smart parking management application.
机器对机器(M2M)范例涉及到设备(传感器、执行器)相互作用,以提供位于现实世界中的服务。Senscity项目提出了一个基础设施,以实现共享城市规模的应用程序。智能城市。实现这样的基础设施会带来提供可伸缩性方面的敏捷治理的问题。多代理技术赋予适应性、灵活性和主动性。本文探讨了它们如何适合我们的问题。提出了一种多代理组织来表达这类系统的治理策略。使用MOISE组织框架,在智能停车管理应用程序中进行说明。
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引用次数: 11
Search beyond Traditional Probabilistic Information Retrieval 超越传统概率信息检索的搜索
J. Huang
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引用次数: 0
ETree: Effective and Efficient Event Modeling for Real-Time Online Social Media Networks 实时在线社交媒体网络的有效和高效事件建模
Hansu Gu, Xing Xie, Q. Lv, Yaoping Ruan, L. Shang
Outline social media networks (OSMNs) such as Twitter provide great opportunities for public engagement and event information dissemination. Event-related discussions occur in real time and at the worldwide scale. However, these discussions are in the form of short, unstructured messages and dynamically woven into daily chats and status updates. Compared with traditional news articles, the rich and diverse user-generated content raises unique new challenges for tracking and analyzing events. Effective and efficient event modeling is thus essential for real-time information-intensive OSMNs. In this work, we propose ETree, an effective and efficient event modeling solution for social media network sites. Targeting the unique challenges of this problem, ETree consists of three key components: (1) an n-gram based content analysis technique for identifying core information blocks from a large number of short messages, (2) an incremental and hierarchical modeling technique for identifying and constructing event theme structures at different granularities, and (3) an enhanced temporal analysis technique for identifying inherent causalities between information blocks. Detailed evaluation using 3.5 million tweets over a 5-month period demonstrates that ETree can efficiently generate high-quality event structures and identify inherent causal relationships with high accuracy.
概述社会媒体网络(osmn),如Twitter,为公众参与和事件信息传播提供了巨大的机会。与事件相关的讨论实时地在全球范围内进行。然而,这些讨论的形式是简短的、非结构化的消息,并动态地编织到日常聊天和状态更新中。与传统的新闻文章相比,丰富多样的用户生成内容为跟踪和分析事件提出了独特的新挑战。因此,有效和高效的事件建模对于实时信息密集型osmn至关重要。在这项工作中,我们提出了ETree,一个有效和高效的社交媒体网络网站事件建模解决方案。针对该问题的独特挑战,ETree由三个关键组件组成:(1)基于n图的内容分析技术,用于从大量短消息中识别核心信息块;(2)用于识别和构建不同粒度的事件主题结构的增量和分层建模技术;(3)用于识别信息块之间固有因果关系的增强时间分析技术。对5个月时间内350万条推文的详细评估表明,ETree可以高效地生成高质量的事件结构,并高精度地识别内在因果关系。
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引用次数: 51
Supporting Agent Systems in the Programming Language 用编程语言支持代理系统
C. Grigore, Rem W. Collier
Agent-oriented methodologies emphasize organisational concepts, which give structure to large agent systems. Organisational frameworks, however, put an extra burden on developers, who need to master both an agent-oriented programming language and the framework itself. We believe that the organisation of agent systems should be directly supported by features of the programming language. In this paper we propose three such language features: algebraic data types, roles, and sessions. They are inspired by functional programming languages and by session types. How they fit together in the context of agent-oriented programming is new.
面向智能体的方法论强调组织概念,它为大型智能体系统提供结构。然而,组织框架给开发人员带来了额外的负担,他们需要掌握面向代理的编程语言和框架本身。我们认为代理系统的组织应该由编程语言的特性直接支持。在本文中,我们提出了三个这样的语言特性:代数数据类型、角色和会话。它们受到函数式编程语言和会话类型的启发。它们如何在面向代理的编程上下文中组合在一起是一个新问题。
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引用次数: 8
A Software Agent Framework for Exploiting Demand-Side Consumer Social Networks in Power Systems 电力系统需求侧消费者社会网络开发的软件代理框架
A. Symeonidis, V. P. Gountis, G. Andreou
This work introduces Energy City, a multi-agent framework designed and developed in order to simulate the power system and explore the potential of Consumer Social Networks (CSNs) as a means to promote demand-side response and raise social awareness towards energy consumption. The power system with all its involved actors (Consumers, Producers, Electricity Suppliers, Transmission and Distribution Operators) and their requirements are modeled. The semantic infrastructure for the formation and analysis of electricity CSNs is discussed, and the basic consumer attributes and CSN functionality are identified. Authors argue that the formation of such CSNs is expected to increase the electricity consumer market power by enabling them to act in a collective way.
这项工作介绍了能源城,这是一个设计和开发的多智能体框架,旨在模拟电力系统并探索消费者社会网络(CSNs)的潜力,作为促进需求侧响应和提高社会对能源消耗的认识的手段。对电力系统及其所有参与者(消费者、生产者、电力供应商、输配电运营商)及其需求进行建模。讨论了电力CSN形成和分析的语义基础结构,确定了电力CSN的基本用户属性和功能。作者认为,这样的cns的形成有望通过使他们以集体方式行动来增加电力消费者市场的力量。
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引用次数: 2
Using Ambient Intelligence to Control Aggression in Crowds 利用环境智能控制群体中的攻击性
C. Gerritsen
During events that involve large crowds (e.g., demonstrations or sports events), large-scale aggressive outbursts are not uncommon. Since these outbursts are usually triggered by relatively small stimuli, and the amount of people involved may grow very quickly, their emergence is often highly unpredictable and difficult to control. The number of different factors that play a role in the development of crowds is large, which makes it difficult to gain a concrete insight in how the collective aggressive behaviour of a given crowd (with known parameters) will develop. This paper is a position paper and is to be considered as a first step in the development of an ambient system to analyse and control the emergence of aggressive behaviour in crowds under different circumstances. The main purpose is to use the system to provide support for police officers and (formal) guardians in both detecting, decreasing and avoiding (the number of) riots.
在涉及大量人群的事件中(例如,示威或体育赛事),大规模的攻击性爆发并不罕见。由于这些爆发通常是由相对较小的刺激引发的,而且涉及的人数可能会很快增加,因此它们的出现往往是高度不可预测的,难以控制。在群体发展中起作用的不同因素的数量是巨大的,这使得很难对给定群体(已知参数)的集体攻击行为将如何发展获得具体的见解。本文是一份立场文件,将被视为开发环境系统的第一步,以分析和控制不同情况下人群中攻击性行为的出现。主要目的是利用该系统为警察和(正式)监护人提供检测、减少和避免(数量)骚乱的支持。
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引用次数: 4
A Modern Blackboard System 现代黑板系统
M. Gaha, M. Gagnon, Frédéric Sirois
Planning with Answer Set Programming (ASP) has been described as a valuable approach to express planning problems in a declarative way. However, few publications addressed the modeling of Blackboard system with answer set programming. In this paper, we study the advantages of using an action language and ASP to develop a Blackboard system. We conclude our article by describing our Blackboard system and we show the usefulness of the extended Akc language to control and plan the agents' actions.
使用答案集编程(ASP)进行规划被认为是以声明的方式表达规划问题的一种有价值的方法。然而,很少有出版物用答案集编程来解决黑板系统的建模问题。在本文中,我们研究了使用动作语言和ASP开发黑板系统的优点。我们通过描述我们的Blackboard系统来结束本文,并展示了扩展的Akc语言在控制和计划代理行为方面的有用性。
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引用次数: 0
Revealing Associations between Events and Their Characteristic Items 揭示事件及其特征项之间的关联
Shin-ya Sato, Masami Takahashi, Tetsuya Nakamura, M. Matsuo
We pose a new problem of discovering associations between events in our daily lives and their characteristic items, such as (Halloween, pumpkin) and (Christmas, chimney). To solve the problem, we dopted an approach similar to that of existing research on event detection, which tries to discover events by detecting bursts of occurrence frequency of a relevant term in a document stream, where the term (item) is associated with the discovered event. We extracted events from blog entries available on the Web, while the previous studies mostly used news articles as document streams. Blog entries are shown to have quite different characteristics to news articles. Considering this fact, we developed a method for discovering the associations by integrating existing techniques that can handle and take advantage of the characteristics of blog data. We verified through experiments using actual data that the proposed approach works quite well.
我们提出了一个新问题,即发现我们日常生活中的事件与其特征项目之间的联系,例如(万圣节,南瓜)和(圣诞节,烟囱)。为了解决这个问题,我们采用了一种类似于现有事件检测研究的方法,即通过检测文档流中相关术语的出现频率爆发来发现事件,其中术语(项)与发现的事件相关联。我们从Web上可用的博客条目中提取事件,而之前的研究主要使用新闻文章作为文档流。博客条目显示出与新闻文章具有完全不同的特征。考虑到这一事实,我们开发了一种方法,通过集成可以处理和利用博客数据特征的现有技术来发现关联。我们通过实际数据的实验验证了所提出的方法的有效性。
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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
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