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https://ceur-ws.org/Vol-2127/preface-kg4ir.pdf
KG4IR: The Second Workshop on Knowledge Graphs
and Semantics for Text Retrieval, Analysis, and
Understanding
Preface
Laura Dietz Chenyan Xiong
University of New Hampshire Carnegie Mellon University
dietz@cs.unh.edu cx@cs.cmu.edu
Jeff Dalton Edgar Meij
University of Glasgow Bloomberg
jeff.dalton@glasgow.ac.uk emeij@bloomberg.net
Semantic technologies such as controlled vocabularies, thesauri, and knowledge graphs have been used through-
out the history of information retrieval for a variety of tasks. Recent advances in knowledge acquisition, align-
ment, and utilization have given rise to a body of new approaches for utilizing knowledge graphs in text retrieval
tasks.
This workshop focuses on the end-to-end utilization of knowledge graphs and semantics in text retrieval,
text understanding and other IR-related applications. Its scope covers the acquisition, the alignment, and the
utilization of knowledge graphs and semantic resources for the purpose of optimizing end-to-end performance of a
system that responds to a user’s information need. Examples of such technologies and applications include entity
ranking, entity linking, entity-based retrieval models, entity recommendation, document filtering, knowledge
graph population, and more.
The goal of the KG4IR workshop is to consolidate the community efforts and study how such technologies
can be employed in information retrieval systems in the most effective way. We are calling for papers on ongoing
research and position papers as well as talk abstracts for future trends, tasks, and open problems to ensure that
breakthroughs, and, technologies algorithms in this space are widely disseminated. We are particularly interested
in practical experiences with KG technology both from academia and industry.
The workshop features four keynotes from representatives of industry and research given by Kuansan Wang
from Microsoft Research, Soumen Chakrabarti from IIT Bombay, Scott Yih from AI2, and Chaitan Baru from
NSF. In addition, five community-contributed works (selected from seven submissions) will be presented. Several
of these contributions will appear in the KG4IR Special Issue of the Information Retrieval Journal in late 2018.
Copyright © by the paper’s authors. Copying permitted for private and academic purposes.
In: Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge
Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search
(DATA:SEARCH’18). Co-located with SIGIR 2018, Ann Arbor, Michigan, USA – 12 July 2018, published at http://ceur-ws.org
43
Program Committee
Name Affiliation
Esraa Ali ADAPT research centre
Mohammad Aliannejadi University of Lugano
Avishek Anand L3S Research Center
Bogdan Arsintescu LinkedIn
Marc Bron Schibsted
Tongfei Chen Johns Hopkins University
Bhavana Dalvi Allen Institute for AI
Arjen de Vries Radboud University and Spinque
John Foley University of Massachusetts
Ingo Frommholz University of Bedfordshire
Faegheh Hasibi NUST
Xiangnan He National University of Singapore
Johannes Hoffart Ambiverse and Max Planck Institute
Ioana Hulpus Mannheim University
Rose Catherine Kanjirathinkal Carnegie Mellon University
Alexander Kotov Wayne State
Huang Lifu Renssalaer Polytechnic Institute
Kwan Hui Lim University of Melbourne
Xitong Liu Google
Bhaskar Mitra Microsoft
Federico Nanni Mannheim University
Giulio Ermanno Pibiri University of Pisa and ISTI-CNR
Jay Pujara University of Southern California
Pushpendre Rastogi Johns Hopkins University
Hadas Raviv Technion
Achim Rettinger Karlsruhe Institute of Technology
Benjamin Roth Ludwigs Maximilians Universitaet
Pedro Saleiro University of Chicago
Bahareh Sarrafzadeh University of Waterloo
Michael Schuhmacher BASF
Yu Su University of California
Camilo Thorne University of Stuttgart
Salvatore Trani ISTI-CNR
Suzan Verberne Leiden University
Nikos Voskarides University of Amsterdam
Lydia Weiland Mannheim University
Arie Wahyu Wijayanto Tokyo Institute of Technology
Jun Xu Chinese Academic of Science
Hai-Tao Yu University of Tsukuba
Hamed Zamani University of Massachusetts
Yuan Zhang Peking University
44