Title :
A comparative study on Measure of Semantic Relatedness function
Author :
Emadzadeh, Ehsan ; Nikfarjam, Azadeh ; Muthaiyah, Saravanan
Author_Institution :
Fac. of IT, MMU, Cyberjaya, Malaysia
Abstract :
The semantic analysis and context awareness in data mining can intensively increase results precision. In this research different semantic relatedness functions called ¿Measure of Semantic Relatedness (MSR)¿ are discussed and compared. We found that the quality and accuracy of MSRs are different when applied in various contexts. Here we compared several MSR algorithms using different corpuses and have analyzed the results.
Keywords :
data mining; semantic Web; ubiquitous computing; MSR; context awareness; data mining; measure of semantic relatedness; semantic analysis; semantic relatedness function; Algorithm design and analysis; Context awareness; Data mining; Humans; Natural languages; Performance evaluation; Search engines; Testing; Text categorization; Vocabulary; component; data mining; semantic relatedness; semantic relatedness function; text classification;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451991
