Tuesday, June 22, 2021

CfP: Knowledge Graphs and Information Retrieval


The Journal of Web Semantics invites submissions for a special issue on Knowledge Graphs and Information Retrieval, to be edited by Zhifeng Bao, Gong Cheng and Jeff Z. Pan. 

Submissions are due by November 30, 2021.

There is a strong connection between Knowledge Graph (KG) and Information Retrieval (IR) research, but their communities are almost disjointed, e.g., in terms of citations between ISWC and SIGIR papers.  Within the Semantic Web community, Knowledge Graph is well known to be useful for Information Retrieval, due to the use of knowledge graph in Google in 2012, helping its search engine to find the right things and get better summaries. Recently, there is an increase interests of knowledge graph in the Information Retrieval community too; e.g., from about 4 knowledge graph related papers accepted at SIGIR 2019 to about 10 at SIGIR 2020. Indeed, modern Information Retrieval systems can benefit from knowledge graph in many different ways. On the other hand, information retrieval can be useful for knowledge graph related tasks too. 

Specific topics for this special issue include but are not limited to:

1.    IR over KG
  • Retrieval and Ranking Models for KG
  • Entity and KG (Dataset) Search
  • Domain-Specific Search over KG
  • Question Answering and Conversational Search over KG
  • Entity and KG Summarization
  • KG Exploration, Recommendation, and Analytics
  • KG Crawling, Indexing, and Compression
  • Human Factors in IR over KG
  • Visualization of Retrieval Results over KG

2.    KG for IR
  • KG Construction for IR Tasks
  • KG-Driven Retrieval and Ranking Models
  • KG for Web Search
  • KG for Domain-Specific Search
  • KG-Enhanced Question Answering and Conversational Search
  • KG for Web Browsing and Recommendation
  • KG for User Modelling
  • Profiling the KG for various IR Tasks
  • Other KG-Enhanced IR Methods and Applications

3.    Application of KG+IR Methods

4.    Evaluation of KG+IR Systems

For this special issue, we are seeking two types of papers:

  • Research papers describing well-identified scientific contributions which are thoroughly evaluated. Those papers are typically 15-20 pages long.
  • System and Resource papers that focus on the description of systems or resources relevant to this special issue where the authors fully detail the design, construction, implementation and usage as well as demonstrate its usefulness. Those papers are expected to be 6-8 pages long. 

Guest Editors

  • Zhifeng Bao is an Associate Professor in School of Computing Technologies, RMIT University and an Honorary Senior Fellow at the University of Melbourne. He received his PhD in Computer Science from NUS in 2011. His research interests include algorithm and index design for large-scale data management, retrieval and mining. He serves as the Associate Editor of PVLDB Vol 14, the PC Co-chair of CIKM 2021 (demo track). He is the PC member of top conferences across data management, information retrieval and data mining, such as SIGMOD, PVLDB, SIGIR and KDD. Zhifeng is a two-time winner of the Google Faculty Research Award. 

  • Gong Cheng is an associate professor at the State Key Laboratory for Novel Software Technology, Nanjing University. He received his PhD in Computer Software and Theory from Southeast University in 2010. His research focuses on Semantic Web and knowledge graphs, in particular on semantic search, data summarization, and question answering. He has received four best paper awards or nominations from ISWC and ESWC. He served as a Posters & Demos co-chair of ISWC 2019, and as a PC member of WWW, ISWC, ESWC, and AAAI.

  • Jeff Z. Pan is a chair of the Knowledge Graph Interest Group at the Alan Turing Institute and is a Reader of Knowledge Graph in the School of Informatics at The University of Edinburgh. He received his Ph.D. in Computer Science from The University of Manchester in 2004. His research focuses primarily on knowledge representation and artificial intelligence, in particular on knowledge graph based learning and reasoning, and knowledge based natural language understanding and generations, as well as their applications. He is an Associate Editor of the Journal of Web Semantics (JoWS). He was a Programme Chair of the 19th International Semantic Web Conference (ISWC 2020), the premier international forum for the Semantic Web / Knowledge Graph / Linked Data communities.

Review committee

  • Xin Huang, China
  • Gill Dobbie, New Zealand
  • Wenqing Lin, China
  • Basil Ell, Germany
  • Jeff Heflin, US
  • Aidan Hogan, Chile
  • Giuseppe Pirrò, Italy
  • Meng Wang, China
  • Xiaxia Wang, China
  • Ran Yu, Germany
  • Tudor Groza, Australia
  • Jason Jung, Korea
  • Jin-Dong Kim, Japan
  • Wolfgang Nejdl, Germany
  • Axel Ngonga, Germany
  • Ahmet Soylu, Norway
  • Markus Strohmaier, Austria
  • Juergen Umbrich, Germany
  • Marieke van Erp, Netherland

Important Dates

  • Call for papers:              15 June 2021
  • Submission deadline:    30 Nov 2021
  • Author notification:       17 Feb 2022
  • Publication:                    Q3 2022

Submission guidelines

The Journal of Web Semantics solicits original scientific contributions of high quality. Following the overall mission of the journal, we emphasize the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services.

Submission of your manuscript is welcome provided that it, or any translation of it, has not been copyrighted or published and is not being submitted for publication elsewhere.

Manuscripts should be prepared for publication in accordance with instructions given in the JWS guide for authorsThe submission and review process will be carried out using Elsevier's Web-based EM systemPlease state the name of the SI in your cover letter and, at the time of submission, please select “VSI:KGIR” when reaching the Article Type selection.

Upon acceptance of an article, the author(s) will be asked to transfer copyright of the article to the publisher. This transfer will ensure the widest possible dissemination of information. Elsevier's liberal preprint policy permits authors and their institutions to host preprints on their web sites. Preprints of the articles will be made freely accessible via JWS First LookFinal copies of accepted publications will appear in print and at Elsevier's archival online server.