Paper Info
Title
The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)
Abstract
Knowledge graphs have been used throughout the history of information retrieval for a variety of tasks. Technological advances in knowledge acquisition and alignment technology from the last few years gave rise to a body of new approaches for utilizing knowledge graphs in text retrieval tasks. It is therefore time to consolidate the community efforts in studying how knowledge graph technology can be employed in information retrieval systems in the most effective way. It is also time to start a dialogue with researchers working on knowledge acquisition and alignment to ensure that resulting technologies and algorithms meet the demands posed by information retrieval tasks. The goal of this workshop is to bring together a community of researchers and practitioners who are interested in using, aligning, and constructing knowledge graphs and similar semantic resources for information retrieval applications.
Year
DOI
Venue
2017
10.1145/3077136.3084371
SIGIR
Field
DocType
ISBN
Data mining,Cognitive models of information retrieval,Knowledge graph,Question answering,Human–computer information retrieval,Information retrieval,Computer science,Information retrieval applications,Text retrieval,Semantics,Knowledge acquisition
Conference
978-1-4503-5022-8
Citations 
PageRank 
References 
2
0.37
16
Authors
3
Name
Order
Citations
PageRank
Laura Dietz133928.86
Chen-Yan Xiong240530.82
Edgar Meij378646.13