Paper Info
Title
Discovering attribute and entity synonyms for knowledge integration and semantic web search
Abstract
We propose the Context-aware Synonym Suggestion System (CS3) which learns synonyms from text by using our NLP-based text mining framework, called SemScape, and also from existing evidence in the current knowledge bases (KBs). Using CS3 and our previously proposed knowledge extraction system IBminer, we integrate some of the publicly available knowledge bases into one of the superior quality and coverage, called IKBstore.
Year
DOI
Venue
2013
10.1145/2509908.2509912
SSW@VLDB
Keywords
Field
DocType
nlp-based text mining framework,current knowledge base,semantic web search,superior quality,available knowledge base,discovering attribute,context-aware synonym suggestion system,knowledge integration,entity synonym,knowledge extraction system ibminer
Data mining,Text mining,Knowledge integration,Information retrieval,Computer science,Synonym,Semantic Web,Knowledge extraction,Database
Conference
Citations 
PageRank 
References 
4
0.41
14
Authors
3
Name
Order
Citations
PageRank
Hamid Mousavi1395.91
Shi Gao21127.72
Carlo Zaniolo343051447.58