Title :
Algorithms for Generating Ontology Based Visualization from Semantic Search Results
Author :
Nazir, Fawad ; Uren, Victoria ; Nikolov, Andriy
fDate :
Aug. 31 2009-Sept. 4 2009
Abstract :
This paper presents algorithmic approaches for the transformation of list based search results from a semantic search engines (i.e. SemSearch) into a visual representation. We present the results and methodology of our preliminary implementation of the semantic search visualization engine (ViSS). ViSS, takes as input the semantic structure of semantic search results and reproduces them into a summarized, conclusive and meaningful graphical representation. Depending on the semantic search results our algorithms select the best visual representations.The current version of ViSS supports visual formats of directed graphs, charts and tables.
Keywords :
data visualisation; directed graphs; ontologies (artificial intelligence); search engines; semantic Web; directed graphs; ontology based visualization; semantic Web; semantic search results; semantic search visualization engine; visual representations; Data engineering; Data visualization; Displays; Expert systems; Knowledge engineering; Ontologies; Search engines; Semantic Web; Space technology; Visual databases; Information Visualization; Ontology Visualization; Semantic Visualization;
Conference_Titel :
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location :
Linz
Print_ISBN :
978-0-7695-3763-4
DOI :
10.1109/DEXA.2009.19