Paper Info
Title
Acquiring semantic context for events from online resources
Abstract
During the last few years, the amount of online descriptive information about places and their dynamics has reached reasonable dimension for many cities in the world. Such enriched information can now support semantic analysis of space, particularly in which respects to what exists there and what happens there. We present a methodology to automatically label places according to events that happen there. To achieve this we use Information Extraction techniques applied to online Web 2.0 resources such as Zvents and Boston Calendar. Wikipedia is also used as a resource to semantically enrich the tag vectors initially extracted. We describe the process by which these semantic vectors are obtained, present results of experimental analysis, and validated these with Amazon Mechanical Turk and a set of algorithms. To conclude, we discuss the strengths and weaknesses of the methodology.
Year
DOI
Venue
2010
10.1145/1899662.1899670
LocWeb
Keywords
Field
DocType
information extraction technique,semantic context,enriched information,boston calendar,semantic analysis,present result,reasonable dimension,online resource,online descriptive information,semantic vector,experimental analysis,amazon mechanical turk,information extraction
World Wide Web,Information retrieval,Computer science,Semantic context,Information extraction,Strengths and weaknesses
Conference
Citations 
PageRank 
References 
2
0.42
15
Authors
3
Name
Order
Citations
PageRank
João Oliveirinha181.33
Francisco C. Pereira233133.07
Ana Alves3214.98