Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : David Milne *, Ian H. Witten 2012, AI An open-source toolkit for mining Wikipedia.

Slides:

Advertisements

Similar presentations

Intelligent Database Systems Lab Presenter: WU, JHEN-WEI Authors: Jorge Gorricha, Victor Lobo CG Improvements on the visualization of clusters in.

Advertisements

Intelligent Database Systems Lab Presenter : JIAN-REN CHEN Authors : Ahmed Abbasi, Stephen France, Zhu Zhang, and Hsinchun Chen 2011, IEEE TKDE Selecting.

Wei Shen †, Jianyong Wang †, Ping Luo ‡, Min Wang ‡ † Tsinghua University, Beijing, China ‡ HP Labs China, Beijing, China WWW 2012 Presented by Tom Chao.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Discovering Leaders from Community Actions Presenter : Wu, Jia-Hao Authors : Amit Goyal, Francesco Bonchi,

PLANSERVE Knowledge acquisition & Ontological engineering for AI Planning applications.

Intelligent Database Systems Lab Presenter: YU-TING LU Authors: Laurens van der Maaten and Geoffrey Hinton ML Visualizing non-metric similarities.

Intelligent Database Systems Lab Presenter: NENG-KAI, HONG Authors: G. PANKAJ JAIN, VARADRAJ P. GURUPUR, JENNIFER L. SCHROEDER, AND EILEEN D. FAULKENBERRY.

Intelligent Database Systems Lab Presenter: HONG, CHIA-TSE Authors: Yen-Hsien Lee, Chih-Ping Wei, Tsang-Hsiang Cheng, Ching-Ting Yang DSS Nearest-neighbor-based.

C OLLECTIVE ANNOTATION OF WIKIPEDIA ENTITIES IN WEB TEXT - Presented by Avinash S Bharadwaj ( )

Funded by: European Commission – 6th Framework Project Reference: IST WP 2: Learning Web-service Domain Ontologies Miha Grčar Jožef Stefan.

Intelligent Database Systems Lab Presenter: MIN-CHIEH HSIU Authors: NHAT-QUANG DOAN ∗, HANANE AZZAG, MUSTAPHA LEBBAH 2013 NN Growing self-organizing trees.

Intelligent Database Systems Lab Presenter : CHANG, SHIH-JIE Authors : Shih-Hwa Liu*,Gwo-Guang Lee 2013.CE Using a concept map knowledge management system.

Intelligent Database Systems Lab Presenter : NENG-KAI, HONG Authors : CÉSAR DOMÍNGUEZ, ARTURO JAIME 2014, CE Database design learning: A project-based.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Evaluation of novelty metrics for sentence-level novelty mining Presenter : Lin, Shu-Han Authors : Flora.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Data mining for credit card fraud: A comparative study.

Intelligent Database Systems Lab Presenter : WU, MIN-CONG Authors : Jorge Villalon and Rafael A. Calvo 2011, EST Concept Maps as Cognitive Visualizations.

Intelligent Database Systems Lab Presenter: WU, MIN-CONG Authors: Yongzheng Zhang, Rajyashree Mukherjee, Benny Soetarman 2012, ACM Concept Extraction for.

Intelligent Database Systems Lab Presenter: WU, MIN-CONG Authors: Zhiyuan Liu, Wenyi Huang, Yabin Zheng and Maosong Sun 2010, ACM Automatic Keyphrase Extraction.

Intelligent Database Systems Lab Presenter: WU, MIN-CONG Authors: Zhiyuan Liu, Xinxiong Chen, Yabin Zheng, Maosong Sun 2011, FCCNLL Automatic Keyphrase.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction Presenter : Jiang-Shan.

Learning to Link with Wikipedia David Milne and Ian H. Witten Department of Computer Science, University of Waikato CIKM 2008 (Best Paper Award) Presented.

Intelligent Database Systems Lab Presenter : JHOU, YU-LIANG Authors :Shady Shehata, Fakhri Karray, Mohamed S. Kamel, Fellow 2012, IEEE An Efficient Concept-Based.

Intelligent Database Systems Lab Presenter : YAN-SHOU SIE Authors Mohamed Ali Hadj Taieb *, Mohamed Ben Aouicha, Abdelmajid Ben Hamadou KBS Computing.

Intelligent Database Systems Lab Presenter : JIAN-REN CHEN Authors : Sheng-Tun Li a,b,*, Fu-Ching Tsai a 2013, KBS A fuzzy conceptualization model for.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 1 Mining LMS data to develop an early warning system for educators : A proof of concept Presenter : Wu,

You sexy beast. Ok, inappropriate. How about: Web of links to Web of Meaning Hello Semantic Web!

Intelligent Database Systems Lab N.Y.U.S.T. I. M. A semantic similarity metric combining features and intrinsic information content Presenter: Chun-Ping.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Automatic Recommendations for E-Learning Personalization.

Cube Kohonen Self-Organizing Map (CKSOM) Model

Intelligent Database Systems Lab Presenter : Kung, Chien-Hao Authors : Yoong Keok Lee and Hwee Tou Ng 2002,EMNLP An Empirical Evaluation of Knowledge Sources.

Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : Youngjoong Ko, Jungyun Seo 2009, IPM Text classiﬁcation from unlabeled documents.

Intelligent Database Systems Lab Presenter : JIAN-REN CHEN Authors : Cihan Kaleli, Huseyin Polat 2012, KBS Privacy-preserving SOM-based recommendations.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology A Plagiarism Detection Technique for Java Program Using.

Intelligent Database Systems Lab Presenter : Kung, Chien-Hao Authors : Medhdi Khashei, Mehdi Bijari 2011, ASOC A novel hybridization of artificial neural.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Word sense disambiguation of WordNet glosses Presenter: Chun-Ping Wu Author: Dan Moldovan, Adrian Novischi.

Intelligent Database Systems Lab Presenter: Wu, Jhen-Wei Authors: Fabian Bürger, Josef Pauli ICPRAM. Representation Optimization with Feature Selection.

Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : CHRISTOS BOURAS, VASSILIS TSOGKAS 2012, KBS A clustering technique for news articles.

Intelligent Database Systems Lab Presenter: CHANG, SHIH-JIE Authors: Bui Quang Hung, Masanori Otsubo, Yoshinori Hijikata, Shogo Nishida 2010.WIA. HITS.

Intelligent Database Systems Lab Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE FRBC: A Fuzzy Rule-Based Clustering Algorithm.

Intelligent Database Systems Lab Presenter : BEI-YI JIANG Authors : HAI V. PHAM, ERIC W. COOPER, THANG CAO, KATSUARI KAMEI INFORMATION SCIENCES Hybrid.

2015/12/121 Extracting Key Terms From Noisy and Multi-theme Documents Maria Grineva, Maxim Grinev and Dmitry Lizorkin Proceeding of the 18th International.

Intelligent Database Systems Lab Presenter: CHANG, SHIH-JIE Authors: Kevin Meijer, Flavius Frasincar, Frederik Hogenboom 2014.DSS. A semantic approach.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Fraud detection in online consumer reviews Presenter: Tsai Tzung Ruei Authors: Nan Hu, Ling Liu, Vallabh.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Extending the Growing Hierarchal SOM for Clustering Documents.

Intelligent Database Systems Lab Presenter : WU, MIN-CONG Authors : YUNG-MING LI, TSUNG-YING LI 2013, DSS Deriving market intelligence from microblogs.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Unsupervised word sense disambiguation for Korean through the acyclic weighted digraph using corpus and.

A Knowledge-Based Search Engine Powered by Wikipedia David Milne, Ian H. Witten, David M. Nichols (CIKM 2007)

Intelligent Database Systems Lab Presenter : JIAN-REN CHEN Authors : Wen Zhang, Taketoshi Yoshida, Xijin Tang 2011.ESWA A comparative study of TF*IDF,

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 A personal route prediction system base on trajectory.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 1 Mining knowledge from natural language texts using fuzzy associated concept mapping Presenter : Wu,

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 1 Mining concept maps from news stories for measuring civic scientific literacy in media Presenter :

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 1 Identifying Domain Expertise of Developers from Source Code Presenter : Wu, Jia-Hao Authors : Renuka.

Intelligent Database Systems Lab Presenter : Chuang, Kai-Ting Authors : Rafael Odon de Alencar, Clodoveu Augusto Davis Jr., Marcos André Gonçalves 2010,

Intelligent Database Systems Lab Presenter: NENG-KAI, HONG Authors: HUAN LONG A, ZIJUN ZHANG A, ⇑, YAN SU 2014, APPLIED ENERGY Analysis of daily solar.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Towards comprehensive support for organizational mining Presenter : Yu-hui Huang Authors : Minseok Song,

Intelligent Database Systems Lab Presenter: YU-TING LU Authors: Christopher C. Yang and Tobun Dorbin Ng TSMCA Analyzing and Visualizing Web Opinion.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Community self-Organizing Map and its Application to Data Extraction Presenter: Chun-Ping Wu Authors:

Intelligent Database Systems Lab Presenter: CHANG, SHIH-JIE Authors: Tao Liu, Zheng Chen, Benyu Zhang, Wei-ying Ma, Gongyi Wu 2004.ICDM. Improving Text.

Intelligent Database Systems Lab Presenter: YU-TING LU Authors: Vittorio Carlei, Massimiliano Nuccio PRL Mapping industrial patterns in spatial agglomeration:

Intelligent Database Systems Lab Presenter : Fen-Rou Ciou Authors : Hamdy K. Elminir, Yosry A. Azzam, Farag I. Younes 2007,ENERGY Prediction of hourly.

Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : Emilio Corchado, Bruno Baruque 2012 NeurCom WeVoS-ViSOM: An ensemble summarization.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Visualizing social network concepts Presenter : Chun-Ping Wu Authors :Bin Zhu, Stephanie Watts, Hsinchun.

Intelligent Database Systems Lab Presenter : YU-TING LU Authors : Hsin-Chang Yang, Han-Wei Hsiao, Chung-Hong Lee IPM Multilingual document mining.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge Presenter : Jiang-Shan Wang Authors.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Adaptive Clustering for Multiple Evolving Streams Graduate.

Intelligent Database Systems Lab Presenter : CHANG, SHIH-JIE Authors : Chun Fu Lin, Yu-chu Yeh, Yu Hsin Hung, Ray I Chang 2013.CE. Data mining for providing.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Enhancing Text Clustering by Leveraging Wikipedia Semantics.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. A method of extracting malicious expressions in bulletin board systems by using context analysis Presenter:

Intelligent Database Systems Lab Presenter : BEI-YI JIANG Authors : JAMAL A. NASIR, IRAKLIS VARLAMIS, ASIM KARIM, GEORGE TSATSARONIS KNOWLEDGE-BASED.

Statistics Explained is multilingual Marc Debusschere

Presentation transcript:

Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : David Milne *, Ian H. Witten 2012, AI An open-source toolkit for mining Wikipedia

Intelligent Database Systems Lab Outlines Motivation Objectives Methodology Experiments Conclusions Comments

Intelligent Database Systems Lab Motivation The online encyclopedia Wikipedia is a vast, constantly evolving tapestry of interlinked articles. For developers and researchers it represents a giant multilingual database of concepts and semantic relations, a potential resource for natural language processing

Intelligent Database Systems Lab Objectives The Wikipedia Miner toolkit, an open-source software system that allows researchers and developers to integrate Wikipedia’s rich semantics into their own applications. Wikipedia Miner is intended to be a platform for sharing data mining techniques.

Intelligent Database Systems Lab Methodology - Architecture of the wikipedia Miner toolkit

Intelligent Database Systems Lab Methodology - Measuring relatedness between concepts

Intelligent Database Systems Lab Methodology - Measuring relatedness between concepts

Intelligent Database Systems Lab Methodology -Features for measuring artucle relatedness

Intelligent Database Systems Lab Experiments - Impact of thresholds for disambiguation and detection

Intelligent Database Systems Lab Experiments - Impact of relatedness dependencies

Intelligent Database Systems Lab Experiments - Impact of traning data

Intelligent Database Systems Lab Experiments - performance of the disambiguator

Intelligent Database Systems Lab Experiments - performance of the detector

Intelligent Database Systems Lab Conclusions Our aim in releasing this work open source is not to provide a complete and polished product, but rather a resource for the research community to collaborate around and continue building together.

Intelligent Database Systems Lab Comments Advantages Applications - wikipedia - Disambiguation - Annotation