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

Schmidt, Andreas ORCID iD icon 1; Kief, Philipp; Scholz, Steffen ORCID iD icon 1
1 Karlsruher Institut für Technologie (KIT)

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 (credentials: adc2019, password: demo)

Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 29.01.2019
Sprache Englisch
Identifikator ISBN: 978-3-030-12078-8
ISSN: 0302-9743
KITopen-ID: 1000091181
HGF-Programm 43.22.03 (POF III, LK 01) Printed Materials and Systems
Erschienen in Databases Theory and Applications : 30th Australasian Database Conference, ADC 2019, Sydney, AUS, January 29 – February 1, 2019, Proceedings. Ed.: L. Chang
Veranstaltung 30th Australasian Database Conference (ADC 2019), Sydney, Australien, 29.01.2019 – 01.02.2019
Verlag Springer
Seiten 135-138
Serie Lecture notes in computer science ; 11393
Vorab online veröffentlicht am 23.01.2019
Schlagwörter named entities, document semantic, entity co-occurrence, visualization, navigation
Nachgewiesen in Scopus
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