NDLI: FoP: Never-Ending Learner for Multimedia Knowledge Extraction

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WI 2014 - II Title Page i

WI 2014 - II Title Page iii

WI 2014 - II Copyright Page

WI 2014 Preface - II

WI 2014 Non-Program Committee Reviewers - II

GeoEcho: Inferring User Interests from Geotag Reports in Network Traffic

A Dynamic Approach to the Website Boundary Detection Problem Using Random Walks

Ranking of Coordinate Terms and Hypernyms Using a Hypernym-Hyponym Dictionary

Semantic Similarity Measurements for Multi-lingual Short Texts Using Wikipedia

Using Extended Random Set to Find Specific Patterns

A POI Categorization by Composition of Onomastic and Contextual Information

Parallel Community Detection for Cross-Document Coreference

Implicitly Learning a User Interest Profile for Personalization of Web Search Using Collaborative Filtering

DiscWord: Learning Discriminative Topics

Evaluating Feature Sets and Classifiers for Sentiment Analysis of Financial News

Make It Possible: Multilingual Sentiment Analysis without Much Prior Knowledge

Web-Based Analysis of Chinese Discourse Markers for Opinion Mining

Transfer Learning for Emotional Polarity Classification

Multilingual Sentiment Analysis Using Emoticons and Keywords

A Statistical and Evolutionary Approach to Sentiment Analysis

Ranking Linked-Entities in a Sentiment Graph

Sentiment-Based Features for Predicting Election Polls: A Case Study on the Brazilian Scenario

Learning Bilingual Embedding Model for Cross-Language Sentiment Classification

Exploiting Social Media for Stock Market Prediction with Factorization Machine

Temporal Behavior of Social Network Users in Information Diffusion

Predicting Personality on Social Media with Semi-supervised Learning

The Correlation between Language Shift and Social Conflicts in Polarized Social Media

A Systematic Framework for Sentiment Identification by Modeling User Social Effects

Recursive Deep Learning for Sentiment Analysis over Social Data

Time Makes Sense: Event Discovery in Twitter Using Temporal Similarity

TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks

Enterprise Contextual Intelligence

Exploiting Text Mining Techniques for Contextual Recommendations

Generating Personalized Snippets for Web Page Recommender Systems

Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?

Swarming in the Urban Web Space to Discover the Optimal Region

Synthoid: Endpoint User Profile Control

SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce

Automatic Tagging Web Services Using Machine Learning Techniques

Web Service Matchmaking Using a Hybrid of Signature and Specification Matching Methods

Computing Trust as a Form of Presumptive Reasoning

VIPReader: A Light News Reader for the Visually Impaired Person

Context Recommendation Using Multi-label Classification

Tools for External Plagiarism Detection in DOCODE

Two-Phase Pareto Set Discovery for Team Formation in Social Networks

Predicting the Near-Weekend Ticket Sales Using Web-Based External Factors and Box-Office Data

Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal

Recommending Judgment Targets for Rating Provision

How Can We Help Our K-12 Teachers?: Using a Recommender to Make Personalized Book Suggestions

Word Sense Induction with Multilingual Features Representation

Categorizing Overlapping Regions in Clustering Analysis Using Three-Way Decisions

On Complexity of Effective Data Granulation in Databases

FPGA in Rough-Granular Computing: Reduct Generation

Formal Analysis of Leave-One-Out Methods Based on Decremental Sampling Scheme

Formal Analysis of Statistical Dependence Based Homological Algebra

Data Mining Considering Curation

On Some Models of Objective-Based Rough Clustering

Maximum Entropy Based Associative Regression for Sparse Datasets

Boosting Country Classification for Semantic Annotation in Social Networks: Person and Place Country Recognition

Support Vector Machine for Malware Analysis and Classification

Online Classification with Partially Labelled Texts

A New Method for Community Detection Using Seed Nodes

A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines

Text Document Latent Subspace Clustering by PLSA Factors

Darwin, Lamarck, or Baldwin: Applying Evolutionary Algorithms to Machine Learning Techniques

Spammer Classification Using Ensemble Methods over Structural Social Network Features

FoP: Never-Ending Learner for Multimedia Knowledge Extraction

A Clique Based Web Page Classification Corrective Approach

Learning Hypotheses from Triadic Labeled Data

Incremental Multi-manifold Out-of-Sample Data Prediction

Uncertainty Reasoning Based Formal Framework for Big Video Data Understanding

Protecting Data Privacy from Being Inferred from High Dimensional Correlated Data

Privacy-Preserving WebID Analytics on the Decentralized Policy-Aware Social Web

Identifying Interaction Groups in Social Network Using a Game-Theoretic Approach

Enhanced Factored Sequence Kernel for Sentiment Classification

WI 2014 - II Author Index

WI 2014 - II Publisher's Information

FoP: Never-Ending Learner for Multimedia Knowledge Extraction

Content Provider	ACM Digital Library
Author	Subercaze, Julien Gravier, Christophe
Abstract	In this paper we present our system Faces of Politics (henceforth FoP), that is able to continuously learn multimedia knowledge of Web multimedia resources about the presence of person(s) in a pictures and to leverage this knowledge to the Linked Open Data cloud (LOD-cloud). FoP promotes both scalability of the data lift process for this domain and a structured knowledge representation for complex queries. The system was boots traped using Freebase data about politicians and their pictures, and we show that the model provides a good generalization with an error rate below 7%. Meantime, FoP not only relates a person to a multimedia resource, but it also detects and publishes metadata on the position of the person in the picture. Moreover, it supports the presence of several persons in the picture. At this step, FoP is also giving data in return to the LoD cloud that fed him in the first place: it leverages Linked Data on people recognized in these pictures, and on which rectangle area. This allows fine-grained queries like creating a curation of documents in which a person is depicted relatively to another for instance. On a technical point-of-view, we also provide a Website for browsing FoP knowledge base as Web users, and we also offer a public SPARQL endpoint for robots or other Web applications.
Starting Page	459
Ending Page	466
Page Count	8
File Format	PDF
ISBN	9781479941438
DOI	10.1109/WI-IAT.2014.134
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-08-11
Access Restriction	Subscribed
Subject Keyword	Face recognition semantic web never ending learner
Content Type	Text
Resource Type	Article

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