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2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

11-14 Aug. 2014

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  • [Title page i]

    Publication Year: 2014, Page(s): i
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  • [Title page iii]

    Publication Year: 2014, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2014, Page(s): iv
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  • Table of contents

    Publication Year: 2014, Page(s):v - x
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  • WI 2014 Preface - I

    Publication Year: 2014, Page(s):xi - xii
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  • WI 2014 Conference Committee - I

    Publication Year: 2014, Page(s): xiii
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  • WI 2014 Program Committee Chairs - I

    Publication Year: 2014, Page(s): xiv
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  • WI 2014 Program Committee Members - I

    Publication Year: 2014, Page(s):xv - xx
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  • WI 2014 Non-Program Committee Reviewers - I

    Publication Year: 2014, Page(s): xxi
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  • Quantum Cognition

    Publication Year: 2014, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (266 KB) | HTML iconHTML

    In The Emperor's New Mind, Roger Penrose [1] claimed that quantum-mechanical effects are critical to human intelligence. But those effects need not be represented at the atomic level. A method of encoding conceptual graphs in a continuous representation called a cognitive signature supports a kind of quantum knowledge representation (QKR). It exhibits the key properties of superposition, entanglem... View full abstract»

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  • Structural Vulnerability Analysis of Overlapping Communities in Complex Networks

    Publication Year: 2014, Page(s):5 - 12
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB) | HTML iconHTML

    Many complex networks commonly exhibit community structure in their underlying organizations, i.e., They contain multiple groups of nodes having more connections inside a group and less interactions among groups. This special structure not only offers key insights into understanding the network organization principles but also plays a vital role in maintaining the normal function of the whole syst... View full abstract»

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  • Cloud Application Development Methodology

    Publication Year: 2014, Page(s):13 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (606 KB) | HTML iconHTML

    Nowadays, cloud applications are developed in Platforms as a Service following the PaaS architecture imposed by several providers. We find in the literature some works describing frameworks and architectures for cloud software development, but there is a lack of a generic methodology which covers the whole application development lifecycle. Our work fits into the perspective of defining a generic ... View full abstract»

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  • Multi-agent Information Diffusion Model for Twitter

    Publication Year: 2014, Page(s):21 - 26
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (463 KB) | HTML iconHTML

    During the 2011 East Japan Great Earthquake Disaster, many people used social media such as Twitter to get important information for their lives. But, generally, social media also has bad side, that is wrong information diffusion problem. In this paper, we will propose a novel multiagent-based information diffusion model, the Agent-based Information Diffusion Model (AIDM), and evaluate it. Up to n... View full abstract»

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  • Adaptive Landmark Selection Strategies for Fast Shortest Path Computation in Large Real-World Graphs

    Publication Year: 2014, Page(s):27 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (606 KB) | HTML iconHTML

    This paper considers the task of answering shortest path queries in large real-world graphs such as social networks, communication networks and web graphs. The traditional Breadth First Search (BFS) approach for solving this problem is too time-consuming when networks with millions of nodes and possibly billions of edges are considered. A common technique to address these complexity issues uses a ... View full abstract»

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  • Enumerating Communities for a Deeper Understanding of Community Finding

    Publication Year: 2014, Page(s):35 - 42
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (549 KB) | HTML iconHTML

    Often new insights and advancements are made by a detailed study of the problem and the solution space. The area of community finding has had many algorithms proposed recently, but to our knowledge there have not been any detailed studies of the solution space. In this paper, we present two algorithms for enumerating and unranking the possible valid community assignments for a network. To demonstr... View full abstract»

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  • Big Data - Characterizing an Emerging Research Field Using Topic Models

    Publication Year: 2014, Page(s):43 - 51
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (401 KB) | HTML iconHTML

    Big Data is one of the latest emerging topics in the field of business information systems, and is marketed as being the key for companies' future success. Many analytic solutions are offered by IT companies to help other businesses with the flood of data that is generated within and outside of a company. Despite the extensive use of the notion Big Data for marketing purposes, there is no common u... View full abstract»

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  • Efficient Spatio-textual Similarity Join Using MapReduce

    Publication Year: 2014, Page(s):52 - 59
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Spatio-textual similarity join is a basic and significant operation in many applications. It is an operation that finds all the similar pairs of objects which have similar textual descriptions and are spatially close to each other. With the popularity of GPS and their applications, the size of spatiotextual data is increasing explosively, while the existing methods cannot deal with the spatio-text... View full abstract»

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  • Aspect-Based Similar Entity Search in Semantic Knowledge Graphs with Diversity-Awareness and Relaxation

    Publication Year: 2014, Page(s):60 - 69
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB) | HTML iconHTML

    Structured knowledge bases are an increasingly important way for storing and retrieving information. Within such knowledge bases, an important search task is finding similar entities based on one or more example entities. We present QBEES, a novel framework for defining entity similarity based only on structural features, so-called aspects, of the entities, that naturally model potential interest ... View full abstract»

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  • Learning Concise Pattern for Interlinking with Extended Version Space

    Publication Year: 2014, Page(s):70 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    Many data sets on the web contain analogous data which represent the same resources in the world, so it is helpful to interlink different data sets for sharing information. However, finding correct links is very challenging because there are many instances to compare. In this paper, an interlinking method is proposed to interlink instances across different data sets. The input is class corresponde... View full abstract»

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  • SORM: A Social Opinion Relevance Model

    Publication Year: 2014, Page(s):78 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (397 KB) | HTML iconHTML

    This paper presents a generic and domain independent opinion relevance model for a Social Network user. The Social Opinion Relevance Model (SORM) is able to estimate an opinion's relevance based on twelve different parameters. Compared to other models, SORM's main distinction is its ability to provide customized results according to whom the opinion relevance is being estimated for. Due to the lac... View full abstract»

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  • Collecting Conceptualized Relations from Terabytes of Web Texts for Understanding Unknown Terms

    Publication Year: 2014, Page(s):86 - 93
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (527 KB) | HTML iconHTML

    This paper describes our attempt to extract various relations between super ordinate concepts from terabytes of Web corpus for human-like speculation of the meaning of unknown terms. In order to discover various conceptualized relations, we focus on Web-scale text corpora and introduce a simple string-matching method to process them. To derive relations between concepts, our method first extracts ... View full abstract»

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  • Person Identification between Different Online Social Networks

    Publication Year: 2014, Page(s):94 - 101
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (875 KB) | HTML iconHTML

    Online social networks have become popular for communication among people. Previous works on social networks were focused mainly on a single network due to the lack of links from one network to the others. There are several ways to connect different social networks. One possible solution is to find out the same individual who owns accounts for different social networks simultaneously. In this pape... View full abstract»

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  • Obtaining Technology Insights from Large and Heterogeneous Document Collections

    Publication Year: 2014, Page(s):102 - 109
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1030 KB) | HTML iconHTML

    Keeping up with rapid advances in research in various fields of Engineering and Technology is a challenging task. Decision makers including academics, program managers, venture capital investors, industry leaders and funding agencies not only need to be abreast of latest developments but also be able to assess the effect of growth in certain areas on their core business. Though analyst agencies li... View full abstract»

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  • A New Sentence Similarity Method Based on a Three-Layer Sentence Representation

    Publication Year: 2014, Page(s):110 - 117
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (255 KB) | HTML iconHTML

    Sentence similarity methods are used to assess the degree of likelihood between phrases. Many natural language applications such as text summarization, information retrieval, text categorization, and machine translation employ measures of sentence similarity. The existing approaches for this problem represent sentences as vectors of bag of words or the syntactic information of the words in the phr... View full abstract»

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  • Multi-feature and DAG-Based Multi-tree Matching Algorithm for Automatic Web Data Mining

    Publication Year: 2014, Page(s):118 - 125
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (633 KB) | HTML iconHTML

    Web data extraction has received considerable attention and study in recent decades. To improve efficiency, many automatic Web data record mining approaches have been proposed. Among these approaches, each complete approach involves data record identification as well as data item alignment. In this paper, we propose a new multi-feature and DAG (Directed Acyclic Graph) based multi-tree matching alg... View full abstract»

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