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Context-aware Visualization of Entity-Entity Relationships in a Document Corpus

Schmidt, Andreas; Kief, Philipp; Scholz, Steffen

Abstract (englisch):
The paper presents an interactive graphical environment, which enables the detection and graphical visualization of concepts in a document or a document collection. Concepts are expressed by (multiple) entities extracted from the document and by the relationship between them. The tool offers an entity-centered view, which graphically shows the most important relationships of a central entity or entity-group, consisting of multiple co-occurring entities. By specifying prefixes and an additional available type system, complex filters can be created that allow the disclosure of various relationships between entities. Entities and their relationships are determined at the time of indexing and stored in appropriate data structures, so that an interactive search and exploration of relationships between entities is easily possible at runtime. The tool is available for online demonstration at https://www.smiffy.de/CoOcViz (credentials: adc2019, password: demo)



Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Vortrag
Jahr 2019
Sprache Englisch
Identifikator KITopen-ID: 1000091209
HGF-Programm 43.22.03 (POF III, LK 01)
Veranstaltung 30th Australasian Database Conference (ADC 2019), Sydney, Australien, 29.01.2019 – 01.02.2019
Schlagworte named entities, document semantic, entity co-occurance, visualization, navigation
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