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Text Mining and JATS: Use cases and combined potential leverage [article]

Felipe Soares
2019 Figshare  
Text Mining and JATS: Use cases and combined potential leverage  ...  system to automatically produce multilingual content • Extensive manual effort to extract and create tools to retrieve only the relevant information.  ...  being generated. • Active journals > 1000 Use cases • Using SciELO, we explored three use cases where data mining techniques could be used to further disseminate and explore the full potential of JATS  ... 
doi:10.6084/m9.figshare.8161979.v1 fatcat:6fwn4j42rfhstjvmnpn4qkjhyi

Seamless annotation and enrichment of mobile captured video streams in real-time

Motaz El-Saban, Xin-Jing Wang, Noran Hasan, Mahmoud Bassiouny, Mahmoud Refaat
2011 2011 IEEE International Conference on Multimedia and Expo  
In this paper, we are presenting a system addressing the above two problems through a single solution by providing users with real-time automatically generated tags of their currently captured videos.  ...  Mobile phones are becoming more and more ubiquitous with a large number of these devices having image/video capturing capabilities, connection capabilities and built-in rich sensory.  ...  ones (which will be stored with the video) and c) the selected tags form a search query, one of its resulting links is explored by the user.  ... 
doi:10.1109/icme.2011.6012084 dblp:conf/icmcs/El-SabanWHBR11 fatcat:6m5ceibpkndq5h2k7yawhcqf44

Discovering visual concept structure with sparse and incomplete tags

Jingya Wang, Xiatian Zhu, Shaogang Gong
2017 Artificial Intelligence  
The task is made more challenging by inherently sparse and incomplete tags.  ...  In this work, we develop a method for modelling the inherent visual data concept structures based on a novel Hierarchical-Multi-Label Random Forest model capable of correlating structured visual and tag  ...  Acknowledgements This work was partially supported by the China Scholarship Council, Vision Semantics Limited, and Royal Society Newton Advanced Fellowship Programme (NA150459).  ... 
doi:10.1016/j.artint.2017.05.002 fatcat:m2f74aslozdxpeyyqpilyrjhra

Mining multi-tag association for image tagging

Yang Yang, Zi Huang, Heng Tao Shen, Xiaofang Zhou
2010 World wide web (Bussum)  
In this paper, we propose a novel automatic image tagging method aiming to automatically discover more complete tags associated with information importance for test images.  ...  However, such social resources usually contain dirty and incomplete tags, which severely limit the performance of these tagging methods.  ...  Online automatic tagging Based on near-duplicate image grouping results and the mined multi-tag correlations we are able to design our online automatic image tagging scheme.  ... 
doi:10.1007/s11280-010-0099-8 fatcat:bi36x7ot6jfw3e7fx7u3stbp6e

Predicting Situation Awareness from Team Communications

Cheryl A. Bolstad, Peter Foltz, Marita Franzke, Haydee M. Cuevas, Mark Rosenstein, Anthony M. Costello
2007 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
Just as the requirement for improved access to SA measures has become vital, it is now commonplace for military team communications to be mediated by technology, hence easily captured and available for  ...  and operations.  ...  ACKNOWLEDGEMENTS Work on this paper was partially supported by a Phase II Small Business Innovative Research Contract (N00014-05-C-0438) awarded to the first and second authors from the Office of Naval  ... 
doi:10.1177/154193120705101203 fatcat:p2sayerlvbagdnd7ppyh5qf25q

Semantic Based Image Annotation Using Descriptive Features and Retagging approach

Nagarani P
2012 The International Journal of Multimedia & Its Applications  
The process is given as a multi-path graph based problem, which in parallel identifies the visual content of the images, semantic correlation of the tags as well as the primary information provided by  ...  And so annotation by computer is a potential and promising solution to this problem precisely.  ...  produced by the automatic image annotation algorithms.  ... 
doi:10.5121/ijma.2012.4102 fatcat:mrdi6h7ijjdqjchcv2lktlknny

Application of Radio Frequency Identification (RFID) in Science Education

Xiao HUANG, Yau Yuen YEUNG, Siu Cheung KONG, Wei GAO
2011 International Journal of Information and Education Technology  
that it provides students with multidimensional ways of cooperation and interaction.  ...  In addition, it contributes to the integration of formative assessment and summative evaluation.  ...  ACKNOWLEDGMENT We would like to thank the anonymous referees for providing us with constructive comments and suggestions.  ... 
doi:10.7763/ijiet.2011.v1.41 fatcat:w3bsfizoazfq7otnyncdqidcqe

Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring

Margherita Berardi, Luigi Santamaria Amato, Francesca Cigna, Deodato Tapete, Mario Siciliani de Cumis
2022 Applied Sciences  
The experiment shows that the system proves capable in the extraction of the time series of a set of user-defined parameters that can be later analyzed and interpreted by specialists in relation with other  ...  issued by volcanological observatories in HTML, PDF and MS Word formats.  ...  • Corpus download and processing; • Manual consultation and tagging; • Automatic tagging and rule base refinement; • Parameter validation; • Visual exploration of time series.  ... 
doi:10.3390/app12073503 fatcat:qbnlhehhybfr3pidbciufuwopm

Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics

Yang Chen, Jamal Alsakran, Scott Barlowe, Jing Yang, Ye Zhao
2011 2011 IEEE Conference on Visual Analytics Science and Technology (VAST)  
The rich set of visualization and interaction techniques provided in our approach allows users to effectively and flexibly control the common ground construction and review, explore, and compare insights  ...  Asynchronous Collaborative Visual Analytics (ACVA) leverages group sensemaking by releasing the constraints on when, where, and who works collaboratively.  ...  The work is also partially supported by National Science Foundation under grant number IIS-0915528, IIS-0916131 and NSFDACS10P1309.  ... 
doi:10.1109/vast.2011.6102447 dblp:conf/ieeevast/ChenABYZ11 fatcat:6jrtwhmcizcvdp27xd7el5awxq

Semantic-Analysis Object Recognition: Automatic Training Set Generation Using Textual Tags [chapter]

Sami Abduljalil Abdulhak, Walter Riviera, Nicola Zeni, Matteo Cristani, Roberta Ferrario, Marco Cristani
2015 Lecture Notes in Computer Science  
We have focused our attention on textual information and we have explored, with several experiments, three different approaches to automatically discriminate between positive and negative images: keyword  ...  position, tag frequency and semantic analysis.  ...  Acknowledgment This research was supported by the VISCOSO project financed by the Autonomous Province of Trento through the "Team 2011" funding programme.  ... 
doi:10.1007/978-3-319-16181-5_22 fatcat:awai6jtvavh6jh3bzyv3lgo6p4

Video Synopsis by Heterogeneous Multi-source Correlation

Xiatian Zhu, Chen Change Loy, Shaogang Gong
2013 2013 IEEE International Conference on Computer Vision  
In contrast to existing video synopsis approaches that rely on visual cues alone, we propose a novel multi-source synopsis framework capable of correlating visual data and independent non-visual auxiliary  ...  Specifically, our unsupervised framework is capable of seamlessly uncovering latent correlations among heterogeneous types of data sources, despite the non-trivial heteroscedasticity and dimensionality  ...  Correlating and tagging video by semantic events -Video synopsis by correlating and tagging higher-level semantic events was tested using the ERCe dataset.  ... 
doi:10.1109/iccv.2013.17 dblp:conf/iccv/ZhuLG13 fatcat:efnep6ehejexdlgb4zxhlwyfly

The CommonGround visual paradigm for biosurveillance

Yarden Livnat, Elizabeth Jurrus, Adi V. Gundlapalli, Per Gestland
2013 2013 IEEE International Conference on Intelligence and Security Informatics  
Our system provides a visual common ground in which users can view, explore and discover emerging concepts and correlations such as symptoms, syndromes, pathogens and geographic locations.  ...  Containing these events and disseminating alerts requires the ability to rapidly find, classify and track harmful biological signatures.  ...  Visualization can elevate the comprehension of this information by fostering rapid correlation and perceived associations.  ... 
doi:10.1109/isi.2013.6578857 dblp:conf/isi/LivnatJGG13 fatcat:jnrigarzbzauzlj2gsurc3bjzu

iHOPerator: user-scripting a personalized bioinformatics Web, starting with the iHOP website

Benjamin M Good, Edward A Kawas, Byron Yu-Lin Kuo, Mark D Wilkinson
2006 BMC Bioinformatics  
The iHOPerator is a GreaseMonkey user-script that augments the gene-centred pages on iHOP by providing a compact, configurable visualization of the defining information for each gene and by enabling additional  ...  They provide a novel mechanism by which users can conveniently gain increased control over the content and the display of the information presented to them on the Web.  ...  Core laboratory funding provided by the Natural Sciences and Engineering Research Council of Canada (NSERC). Infrastructure support provided by IBM and SUN Microsystems.  ... 
doi:10.1186/1471-2105-7-534 pmid:17173692 pmcid:PMC1764905 fatcat:5h4pwel7drbztpxbwkbkssom7m

Multi-modal music genre classification approach

Chao Zhen, Jieping Xu
2010 2010 3rd International Conference on Computer Science and Information Technology  
As a fundamental and critical component of music information retrieval (MIR) systems, automatically classifying music by genre is a challenging problem.  ...  So, in this paper we propose a novel multi-modal music genre classification approach which uses the acoustic features and the social tags together for classifying music by genre.  ...  This emerging meta-data provides useful information which has been explored in many applications [4] .  ... 
doi:10.1109/iccsit.2010.5564489 fatcat:6ah7mkbc6bfirey6wgbw3hxeqa

Image Retagging Using Collaborative Tag Propagation

Dong Liu, Shuicheng Yan, Xian-Sheng Hua, Hong-Jiang Zhang
2011 IEEE transactions on multimedia  
prior information provided by users.  ...  The retagging process is formulated as a multiple graph-based multi-label learning problem, which simultaneously explores the visual content of the images, semantic correlation of the tags as well as the  ...  , which owes to its explicit exploration on tag correlation and tag-specific image similarity.  ... 
doi:10.1109/tmm.2011.2134078 fatcat:pksmgazirverldql3o6y6yinti
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