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Mining Large-scale Event Knowledge from Web Text

Ya-nan Cao, Peng Zhang, Jing Guo, Li Guo
2014 Procedia Computer Science  
The results of our empirical evaluations on a large-scale Web text corpus show that (a) the use of local dependency tree extensively improves both the accuracy and recall of event-arguments extraction  ...  Motivated by this limitation, we develop a three-phased approach that acquires causality from the Web text.  ...  Mining Large-scale Event Knowledge from Web Text Cao, Zhang, Guo and Guo  ... 
doi:10.1016/j.procs.2014.05.043 fatcat:ednjfs6k6fhpppbckivcynxrya

Semantic culturomics

Fabian M. Suchanek, Nicoleta Preda
2014 Proceedings of the VLDB Endowment  
We predict that this could open up a new field of research, "Semantic Culturomics", in which no longer human text helps machines build up knowledge bases, but knowledge bases help humans understand their  ...  In this vision paper, we argue that the advent of large knowledge bases (such as YAGO [37], NELL [5], DBpedia [3], and Freebase) will revolutionize the field.  ...  Several projects have looked into mining the Web at large scale for facts [5, 4, 28, 38] .  ... 
doi:10.14778/2732977.2732994 fatcat:c2jvs6jl4rarzaptaqyi4iu4da

A Roadmap for Web Mining: From Web to Semantic Web [chapter]

Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme
2004 Lecture Notes in Computer Science  
-The Semantic Web goal of large-scale construction of ontologies will require the use of Data Mining methods, in particular to extract knowledge from text.  ...  One is the use of text mining and Data Mining for information extraction to extract information from large collections of textual documents.  ... 
doi:10.1007/978-3-540-30123-3_1 fatcat:tb4oxi6dkbgypeoephofr2ewmi

[Invited Paper] A Review of Web Image Mining

Keiji Yanai
2015 ITE Transactions on Media Technology and Applications  
location-dependent and event-related visual information.  ...  In this paper, we review works related to big visual data on the Web in the literature of computer vision and multimedia research regarding the following points: (1) Web image acquisition for construction  ...  Acknowledgment We thank the helpful comments from Dr. Do Hang Nga and anonymous reviewers.  ... 
doi:10.3169/mta.3.156 fatcat:gduk25dp7nedvm65xurbwzdu3y

A conversation with MSRA researchers

Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng
2012 SIGKDD Explorations  
aim to automatically discover and integrate knowledge from structured data sources or unstructured text documents.  ...  Different from traditional Internet services, web search involves myriad offline computations to analyze the data at a very large scale, and an infrastructure for "scale" experiments is often required  ...  Different from traditional Internet services, web search involves myriad offline computations to analyze the data at a very large scale, and an infrastructure for "scale" experiments is often required  ... 
doi:10.1145/2207243.2207260 fatcat:lz3p42zagzhv3djby5og7uwwxi

A scientific review of soft-computing techniques and methods for stock market prediction

Muhammad R. Islam, I F.T. Al-Shaikhli, A Abdulkadir
2018 International Journal of Engineering & Technology  
The analytical result has shown that different methods of text mining have several advantages with the gap of knowledge that is required to improve.  ...  Web based text mining is one of the approach that could be analyzed in many ways through soft-computing methods and techniques.  ...  Imad Fakhri Taha Al-Shaikli, Head of Research at Kulliyyah of Information and Communication Technology for his support by the grants from science fund and endless guidance during the writing of this review  ... 
doi:10.14419/ijet.v7i2.5.10049 fatcat:v6sj2ih4h5cs5j545a23as3udm

Introducing a New Scalable Data-as-a-Service Cloud Platform for Enriching Traditional Text Mining Techniques by Integrating Ontology Modelling and Natural Language Processing [chapter]

Alexey Cheptsov, Axel Tenschert, Paul Schmidt, Birte Glimm, Mauricio Matthesius, Thorsten Liebig
2014 Lecture Notes in Computer Science  
The technique is inherently designed with parallelism in mind, which allows for high performance on large-scale Cloud computing infrastructures.  ...  This allows for improving traditional data mining techniques by adopting algorithms from ontological domain modelling, natural language processing, and machine learning.  ...  However, automatic knowledge extraction from large text collections, also considering external data sources (e.g., Wikipedia), is a nontrivial and very challenging task.  ... 
doi:10.1007/978-3-642-54370-8_6 fatcat:qoxc6xntnbczlp247iak3fb7dm

Experiential Knowledge Mining

Sung-Hyon Myaeng
2013 Foundations and Trends® in Web Science  
While the research community in this area has been largely separated from that of text mining or NLP, our expectation is that they need to be merged together to complement each other.  ...  from the Web.  ... 
doi:10.1561/1800000021 fatcat:ym6g3kcy2rd6zbg7nuaikunze4

Tenth international workshop on multimedia data mining

Valery A. Petrushin, Jia-Yu (Tim) Pan, Cees G.M. Snoek
2011 SIGKDD Explorations  
In this report we provide a summary of the tenth Multimedia Data Mining Workshop that was held in conjunction with the 16th ACM  ...  -Topic and event discovery in large multimedia repositories.  ...  They collected a large ground truth dataset consisting of diverse Web documents from real Web servers and defined performance measures adapted to the special properties of the context extraction task.  ... 
doi:10.1145/1964897.1964909 fatcat:pmhjo25aorhslicey2ljgsyo3q

An Overview of Event Extraction from Text

Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong
2011 International Semantic Web Conference  
One common application of text mining is event extraction, which encompasses deducing specific knowledge concerning incidents referred to in texts.  ...  This literature survey reviews text mining techniques that are employed for various event extraction purposes.  ...  key entities and significant events from daily web news.  ... 
dblp:conf/semweb/HogenboomFKJ11 fatcat:rd4zlaeiorhy3emm3krdg5qrca

Is there a grand challenge or X-prize for data mining?

Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Zaki
2006 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06  
This panel will discuss possible exciting and motivating Grand Challenge problems for Data Mining, focusing on bioinformatics, multimedia mining, link mining, text mining, and web mining.  ...  DATA MINING GRAND CHALLENGES IN BIOINFORMATICS (Zaki) Large-scale databases from sequencing projects, microarray studies, gene-function studies, protein-protein interactions, comparative genomics, structural  ...  including web mining, text mining, link analysis, video and image mining, and bioinformatics, and discuss possible proposals for an exciting and worthwhile grand challenge / X-prize for data mining.  ... 
doi:10.1145/1150402.1150535 dblp:conf/kdd/Piatetsky-ShapiroGDFGZ06 fatcat:tdfjeonwajbpfpdxr72rub37pi

YouTubeEvent: On large-scale video event classification

Bingbing Ni, Yang Song, Ming Zhao
2011 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)  
To address these problems, a text mining pipeline is first proposed to automatically discover a collection of video event categories.  ...  In this work, we investigate the problem of general event classification from uncontrolled YouTube videos.  ...  But our work is operated at a much larger scale. Text Mining Pipeline for Automatic Video Event Category Discovery YouTube contains hundreds of millions of videos uploaded by web-users.  ... 
doi:10.1109/iccvw.2011.6130430 dblp:conf/iccvw/NiSZ11 fatcat:763dv7dbjffbdg5iydhofnyd6e


Bing Liu, Kevin Chen-Chuan-Chang
2004 SIGKDD Explorations  
Web content mining aims to extract/mine useful information or knowledge from Web page contents. For this special issue, we focus on Web content mining.  ...  Web usage mining refers to the discovery of user access patterns from Web usage logs. Web structure mining tries to discover useful knowledge from the structure of hyperlinks.  ... 
doi:10.1145/1046456.1046457 fatcat:zheeoyqhdrblza3jdm3qrtaavy

Recent advances of the Semantic Web

Zhao-hui Wu
2012 Journal of Zhejiang University SCIENCE C  
The second article proposes an interesting approach for building a large-scale Chinese structured knowledge base from Chinese wiki resources, including Hudong and Baidu Baike.  ...  Professor Ian Horrocks reviews the evolution of semantic technologies to date, and then examines the scalability challenges that arise from deployment in large-scale applications.  ... 
doi:10.1631/jzus.c1101000 fatcat:s5hpwxgjcngwfpcubtetq6aoz4

RetroMine, or how to provide in-depth retrospective studies from Medline in a glance: the hepcidin use-case

Bertrand Ameline de Cadeville, Olivier Loréal, Fouzia Moussouni-Marzolf
2015 Journal of Integrative Bioinformatics  
The rapid expansion of biomedical literature has provoked an increased development of advanced text mining tools to rapidly extract relevant events from the continuously increasing amount of knowledge  ...  Before excluding background events from the total knowledge extracted, a quantification of their amount is also provided.  ...  information extracted by a selected text mining web service [3] .  ... 
doi:10.2390/biecoll-jib-2015-275 pmid:26673791 fatcat:nfyuq5ygrres3cvvtiyeefbh3u
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