Paper Info
Title
Algorithms for Generating Ontology Based Visualization from Semantic Search Results
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.
Year
DOI
Venue
2009
10.1109/DEXA.2009.19
DEXA Workshops
Keywords
Field
DocType
semantic search results,generating ontology,semantic search engine,algorithmic approach,meaningful graphical representation,visual representation,semantic search visualization engine,semantic search result,visual format,semantic structure,semantic search,search result,information visualization,directed graph,engines,clustering algorithms,visualization,semantic web,data visualization,resource description framework,data mining,data visualisation,directed graphs,search engines
Semantic technology,Computer science,Semantic Web,Artificial intelligence,Natural language processing,Semantic computing,Semantic similarity,Data visualization,Information retrieval,Semantic search,Information visualization,Visualization,Algorithm,Database
Conference
Citations 
PageRank 
References 
2
0.37
3
Authors
3
Name
Order
Citations
PageRank
Fawad Nazir1376.31
Victoria Uren2118478.67
Andriy Nikolov376953.09