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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2e85bd57d174a86079fc058c54cb81262/markusjohn",         
         "tags" : [
            "Digital","Humanities;","Text","Visualization"
         ],
         
         "intraHash" : "e85bd57d174a86079fc058c54cb81262",
         "interHash" : "41a6844ecb0d7bd18b939d5c120eddf8",
         "label" : "Interactive Visual Exploration of the Regesta Imperii",
         "user" : "markusjohn",
         "description" : "",
         "date" : "2018-02-12 15:04:02",
         "changeDate" : "2018-03-07 11:13:34",
         "count" : 6,
         "pub-type": "article",
         "journal": "Digital Humanities, Montreal, Canada, August 8-11, 2017",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Markus John","Christian Richter","Steffen Koch","Andreas Kuczera","Thomas Ertl"
         ],
         "authors": [
         	
            	{"first" : "Markus",	"last" : "John"},
            	{"first" : "Christian",	"last" : "Richter"},
            	{"first" : "Steffen",	"last" : "Koch"},
            	{"first" : "Andreas",	"last" : "Kuczera"},
            	{"first" : "Thomas",	"last" : "Ertl"}
         ],
         
         "bibtexKey": "johninteractive"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2165cbdc68a3b67c55a4a5e3d4896845e/markusjohn",         
         "tags" : [
            "Visualization"
         ],
         
         "intraHash" : "165cbdc68a3b67c55a4a5e3d4896845e",
         "interHash" : "75cbfc1fa1c7957b01d7a88d2c9aa6c7",
         "label" : "Visual Analysis of Character and Plot Information Extracted from Narrative Text",
         "user" : "markusjohn",
         "description" : "",
         "date" : "2018-02-12 15:00:59",
         "changeDate" : "2018-03-07 11:10:59",
         "count" : 1,
         "pub-type": "inproceedings",
         "booktitle": "Computer Vision, Imaging and Computer Graphics Theory and Applications","publisher":"Springer International Publishing","address":"Cham",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Markus John","Steffen Lohmann","Steffen Koch","Michael Wörner","Thomas Ertl"
         ],
         "authors": [
         	
            	{"first" : "Markus",	"last" : "John"},
            	{"first" : "Steffen",	"last" : "Lohmann"},
            	{"first" : "Steffen",	"last" : "Koch"},
            	{"first" : "Michael",	"last" : "Wörner"},
            	{"first" : "Thomas",	"last" : "Ertl"}
         ],
         
         "editor": [ 
            "José Braz","Nadia Magnenat-Thalmann","Paul Richard","Lars Linsen","Alexandru Telea","Sebastiano Battiato","Francisco Imai"
         ],
         "editors": [
         	
            	{"first" : "José",	"last" : "Braz"},
            	{"first" : "Nadia",	"last" : "Magnenat-Thalmann"},
            	{"first" : "Paul",	"last" : "Richard"},
            	{"first" : "Lars",	"last" : "Linsen"},
            	{"first" : "Alexandru",	"last" : "Telea"},
            	{"first" : "Sebastiano",	"last" : "Battiato"},
            	{"first" : "Francisco",	"last" : "Imai"}
         ],
         "pages": "220--241","abstract": "The study of novels and the analysis of their plot, characters and other information entities are complex and time-consuming tasks in literary science. The digitization of literature and the proliferation of electronic books provide new opportunities to support these tasks with visual abstractions. Methods from the field of computational linguistics can be used to automatically extract entities and their relations from digitized novels. However, these methods have known limitations, especially when applied to narrative text that does often not follow a common schema but can have various forms. Visualizations can address the limitations by providing visual clues to show the uncertainty of the extracted information, so that literary scholars get a better idea of the accuracy of the methods. In addition, interaction can be used to let users control and adapt the extraction and visualization methods according to their needs. This paper presents ViTA, a web-based approach that combines automatic analysis methods with effective visualization techniques. Different views on the extracted entities are provided and relations between them across the plot are indicated. Two usage scenarios show successful applications of the approach and demonstrate its benefits and limitations. Furthermore, the paper discusses how uncertainty might be represented in the different views and how users can be enabled to adapt the automatic methods.",
         "isbn" : "978-3-319-64870-5",
         
         "bibtexKey": "10.1007/978-3-319-64870-5_11"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/279820e1562a3b7af96d90ebb328ba161/markusjohn",         
         "tags" : [
            "analytics,","document","focus+context","interaction","mining,","myown","techniques,","text","visual","visualization"
         ],
         
         "intraHash" : "79820e1562a3b7af96d90ebb328ba161",
         "interHash" : "d6457d13954d6aefb50c5b7ef91cfb35",
         "label" : "DocuCompass: Effective Exploration of Document Landscapes",
         "user" : "markusjohn",
         "description" : "",
         "date" : "2017-03-06 16:42:45",
         "changeDate" : "2017-03-10 09:39:35",
         "count" : 2,
         "pub-type": "article",
         "journal": "IEEE Transactions on Visualization and Computer Graphics",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Florian Heimerl","Markus John","Qi Han","Steffen Koch","Thomas Ertl"
         ],
         "authors": [
         	
            	{"first" : "Florian",	"last" : "Heimerl"},
            	{"first" : "Markus",	"last" : "John"},
            	{"first" : "Qi",	"last" : "Han"},
            	{"first" : "Steffen",	"last" : "Koch"},
            	{"first" : "Thomas",	"last" : "Ertl"}
         ],
         "abstract": "The creation of interactive visualization to analyze text documents has gained an impressive momentum in recent years.\r\nThis is not surprising in the light of massive and still increasing amounts of available digitized texts.\r\nWebsites, social media, news wire, and digital libraries are just few examples of the diverse text sources whose visual analysis and exploration offers new opportunities to effectively mine and manage the information and knowledge hidden within them.\r\nA popular visualization method for large text collections is to represent each document by a glyph in 2D space.\r\nThese landscapes can be the result of optimizing pairwise distances in 2D to represent document similarities, or they are provided directly as meta data, such as geo-locations.\r\nFor well-defined information needs, suitable interaction methods are available for these spatializations.\r\nHowever, free exploration and navigation on a level of abstraction between a labeled document spatialization and reading single documents is largely unsupported.\r\nAs a result, vital foraging steps for task-tailored actions, such as selecting subgroups of documents for detailed inspection, or subsequent sense-making steps are hampered.\r\nTo fill in this gap, we propose DocuCompass, a focus+context approach based on the lens metaphor.\r\nIt comprises multiple methods to characterize local groups of documents, and to efficiently guide exploration based on users' requirements.\r\nDocuCompass thus allows for effective interactive exploration of document landscapes without disrupting the mental map of users by changing the layout itself.\r\nWe discuss the suitability of multiple navigation and characterization methods for different spatializations and texts.\r\nFinally, we provide insights generated through user feedback and discuss the effectiveness of our approach.",
         "bibtexKey": "noauthororeditor"

      }
	  
   ]
}
