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2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

Volume 1 • 4-7 Dec. 2012

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Displaying Results 1 - 25 of 125
  • WI 2012 - Front cover

    Publication Year: 2012, Page(s): C4
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  • WI 2012 title page i

    Publication Year: 2012, Page(s): i
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  • WI 2012 title page iii

    Publication Year: 2012, Page(s): iii
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  • WI 2012 copyright notice

    Publication Year: 2012, Page(s): iv
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  • WI 2012 table of contents

    Publication Year: 2012, Page(s):v - xii
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  • WI 2012 Welcome Message from Conference Chairs and Program Chairs

    Publication Year: 2012, Page(s):xiii - xiv
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  • WI 2012 Conference Organization

    Publication Year: 2012, Page(s):xv - xvi
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  • WI 2012 Program Committee Members

    Publication Year: 2012, Page(s):xvii - xx
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  • WI 2012 Non-PC Reviewers

    Publication Year: 2012, Page(s): xxi
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  • WI 2012 Sponsors

    Publication Year: 2012, Page(s): xxii
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  • Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets

    Publication Year: 2012, Page(s):1 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (281 KB) | HTML iconHTML

    With the growing popularity of research in Temporal Information Retrieval (T-IR), a large amount of temporal data is ready to be exploited. The ability to exploit this information can be potentially useful for several tasks. For example, when querying "Football World Cup Germany", it would be interesting to have two separate clusters {1974,2006} corresponding to each of the two temporal instances.... View full abstract»

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  • Unsupervised Feature Selection with Feature Clustering

    Publication Year: 2012, Page(s):9 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    As an effective technique for dimensionality reduction, feature selection has a broad application in different research areas. In this paper, we present a feature selection method based on a novel feature clustering procedure, which aims at partitioning the features into different clusters such that the features in the same cluster contain similar structural information of the given instances. Sub... View full abstract»

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  • Event Duration Detection on Microblogging

    Publication Year: 2012, Page(s):16 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (667 KB) | HTML iconHTML

    Microblog users often post what they observe in the surroundings, making it possible to use such microblog data to perform event detection. In this paper, we propose an issue of event duration detection and choose rain as our target event. Our goal is to construct an online virtual weather station, which reports local weather condition such as rain with the microblog data. Different from previous ... View full abstract»

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  • A Comparative Study of Cross-Lingual Sentiment Classification

    Publication Year: 2012, Page(s):24 - 31
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (193 KB) | HTML iconHTML

    The task of sentiment classification relies heavily on sentiment resources, including annotated lexicons and corpus. However, the sentiment resources in different languages are imbalanced. In particular, many reliable English resources are available on the Web, while reliable Chinese resources are scarce till now. Cross-lingual sentiment classification is a promising way for addressing the above p... View full abstract»

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  • The Retrieval of Important News Stories by Influence Propagation among Communities and Categories

    Publication Year: 2012, Page(s):32 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    Nowadays, people receive information of the news stories not only from newspapers but also from online news websites. They search important news stories in order to know what happen today. However, it is hard to browse all the news stories published on a day. It is necessary to identify which news stories are more newsworthy on the specific day. In this paper, we investigate how to automatically i... View full abstract»

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  • An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web

    Publication Year: 2012, Page(s):40 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (321 KB) | HTML iconHTML

    In this paper, we propose a Markov Clustering (MCL) based text mining approach for namesake disambiguation on the Web. The novelty of the proposed technique lies in modeling the collection of web pages using a weighted graph structure and applying MCL to crystalize it into different clusters, each one containing the web pages related to a particular namesake individual. The proposed method focuses... View full abstract»

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  • Construction of Chinese A-shares Network Using Latent Dirichlet Allocation

    Publication Year: 2012, Page(s):45 - 49
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (587 KB) | HTML iconHTML

    Currently, there are more than 2,400 stocks in Chinese A-shares market and there is almost one IPO share coming into the emerging market per day. The rapid growth of Chinese stock market makes investors difficult to manage portfolio. In the paper, a Chinese A-shares Network (CAN) is constructed using a topic model (i.e., Latent Dirichlet Allocation) to efficiently divide all the A-shares to indivi... View full abstract»

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  • A Fast and Accurate Method for Bilingual Opinion Lexicon Extraction

    Publication Year: 2012, Page(s):50 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (222 KB) | HTML iconHTML

    The explosion of multilingual opinion data has made essential the need for automatic tools to analyze and understand people's opinions in multilingual reviews. In cross-language opinion mining, bilingual opinion lexicon plays a central role. Most of the bilingual lexicon extraction methods are based on EM algorithm. However, these methods are faced with two major problems: high complexity and unsa... View full abstract»

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  • TaxoLearn: A Semantic Approach to Domain Taxonomy Learning

    Publication Year: 2012, Page(s):58 - 65
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (694 KB) | HTML iconHTML

    Building domain taxonomies is a crucial task in the domain of ontology construction. Domain taxonomy learning keeps getting more important as a form of automatically obtaining a knowledge representation of a certain domain. The alternative of manually developing domain taxonomies is not trivial. The main issues encountered when manually developing a taxonomy are the non-availability of a domain kn... View full abstract»

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  • Accuracy vs. Speed: Scalable Entity Coreference on the Semantic Web with On-the-Fly Pruning

    Publication Year: 2012, Page(s):66 - 73
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (399 KB) | HTML iconHTML

    One challenge for the Semantic Web is to scalably establish high quality owl: same As links between co referent ontology instances in different data sources, traditional approaches that exhaustively compare every pair of instances do not scale well to large datasets. In this paper, we propose a pruning-based algorithm for reducing the complexity of entity co reference. First, we discard candidate ... View full abstract»

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  • RCQ-ACS: RDF Chain Query Optimization Using an Ant Colony System

    Publication Year: 2012, Page(s):74 - 81
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (227 KB) | HTML iconHTML

    In order to effectively and efficiently disclose the ever-growing amount of widely distributed RDF data to demanding users in real-time environments, RDF query engines need to optimize the join order of partial query results. For this, a two-phase optimization (2PO) algorithm and a genetic algorithm (GA) have already been proposed. We propose an alternative approach - an ant colony system (ACS). O... View full abstract»

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  • Entity Disambiguation with Freebase

    Publication Year: 2012, Page(s):82 - 89
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (273 KB) | HTML iconHTML

    Entity disambiguation with a knowledge base becomes increasingly popular in the NLP community. In this paper, we employ Freebase as the knowledge base, which contains significantly more entities than Wikipedia and others. While huge in size, Freebase lacks context for most entities, such as the descriptive text and hyperlinks in Wikipedia, which are useful for disambiguation. Instead, we leverage ... View full abstract»

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  • An Empirical Analysis of Semantic Techniques Applied to a Network Management Classification Problem

    Publication Year: 2012, Page(s):90 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (810 KB) | HTML iconHTML

    Semantic technologies are increasingly being employed to integrate, relate and classify heterogeneous data from various problem domains. To date, however, little empirical analysis has been carried out to help identify the benefits and limitations of different semantic approaches on specific data integration and classification problems. This paper evaluates three alternative semantic techniques fo... View full abstract»

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  • Approximating Linear Order Inference in OWL 2 DL by Horn Compilation

    Publication Year: 2012, Page(s):97 - 104
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    In order to directly reason over inconsistent OWL 2 DL ontologies, this paper considers linear order inference which comes from propositional logic. Consequences of this inference in an inconsistent ontology are defined as consequences in a certain consistent sub-ontology. This paper proposes a novel framework for compiling an OWL 2 DL ontology to a Horn propositional program so that the intended ... View full abstract»

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  • Term Weighting Schemes for Emerging Event Detection

    Publication Year: 2012, Page(s):105 - 112
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (474 KB) | HTML iconHTML

    As an event-based task, Emerging Event Detection (EED) faces the problems of multiple events on the same subject and the evolution of events. Current term weighting schemes for EED exploiting Named Entity, temporal information and Topic Modeling all have their limited utility. In this paper, a new term weighting scheme, which models the sparse aspect, global weight and local weight of each story, ... View full abstract»

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