KGMA 2018: The 1st International Workshop on Knowledge Graph Management and Analysis Holiday Inn Macao Cotai Central Macau, China, July 22-25, 2018 |
Conference website | https://kgma.github.io/ |
Submission link | https://easychair.org/conferences/?conf=kgma2018 |
Abstract registration deadline | April 30, 2018 |
Submission deadline | May 7, 2018 |
Acceptance Notification | June 10, 2018 |
Camera-Ready Submission & Registration | June 20, 2018 |
In recent years, an increasing number of large-scale knowledge graphs have been constructed and published on the Web, by both academic and industrial communities, such as DBpedia, YAGO, Freebase, Wikidata, Google Knowledge Graph, Microsoft Satori, Facebook Entity Graph, and others. In fact, a knowledge graph is essentially a large network of entities, their properties, and semantic relationships between entities. Such kind of graph-based knowledge data has been posing a great challenge to the traditional data management and analysis theories and technologies. On the other hand, the database community has been putting a lot of effort into graph databases for nearly two decades to make the storage, query processing, mining, and analysis of large graph data more efficient and scalable. However, there are still gaps between the requirements of management and analysis of knowledge graphs and the current state of techniques in graph databases. Therefore, this workshop aims to bring together researchers, practitioners, developers, and users from knowledge graph, graph database, social network, and other relevant communities to address the challenges, present state-of-the-art solutions, exchange ideas and results, and discuss future research directions in management and analysis of knowledge graphs in different domains.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
All papers must be submitted through EasyChair system, via the following link. The submission site is now open.
https://easychair.org/conferences/?conf=kgma2018
The conference proceedings, including all accepted papers, will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Authors should avoid the use of non-English fonts to avoid problems with printing and viewing the submissions. All accepted papers MUST follow strictly the instructions for LNCS Authors. Springer LNCS site offers style files and information: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.
Submissions must be original (not previously published and not under review in other forums). This applies to papers on all tracks of the conference. Authors are advised to interpret these limitations strictly and to contact the PC chairs in case of doubt. Each accepted paper must be accompanied by at least one full registration, and an author is expected to present the paper at the conference, otherwise, the paper will be removed from the proceedings and the LNCS digital library.
The review process is single-blinded. There is no need for authors to mask their names and affiliations in the manuscript. The maximal length of the paper is 16 pages.
List of Topics
-
Knowledge graph organization and construction:
- Knowledge graph information extraction
- Knowledge graph data integration
- Knowledge graph construction
- Knowledge graphs and knowledge representation
- Knowledge graphs and knowledge bases
- Knowledge graphs and knowledge engineering
- Knowledge graphs and ontologies
- Knowledge graphs in social networks
- Probabilistic and uncertain knowledge graphs
-
Knowledge graph and graph data storage:
- Knowledge graph storage and indexing
- RDF graph storage and indexing
- Graph database storage scheme
- Distributed knowledge graph storage and indexing
- Relational-based knowledge graph storage and indexing
-
Knowledge graph query processing:
- Graph pattern matching
- Reachability query processing
- Shortest path query processing
- Regular path query processing
- Navigational query processing
- Graph query languages
- Distributed/parallel graph query processing
- Knowledge graph query processing and benchmarking
-
Knowledge graph learning and data mining:
- Knowledge graph embedding and representational learning
- Graph classification
- Graph clustering
- Graph frequent pattern mining
- Link prediction in knowledge graphs
- Outlier detection in knowledge graphs
- Deep learning on knowledge graphs
-
Knowledge graph analysis and applications:
- Knowledge graph data visualization
- Social network analysis using knowledge graphs
- Knowledge-graph based inference and reasoning
- Knowledge-graph based information retrieval
- User interfaces of knowledge-graph based systems
- Questing answering using knowledge graphs
- Knowledge-graph based intelligent systems
- Knowledge-graph based information systems
- Knowledge graphs and natural language processing
- Biological and biomedical knowledge graphs
- Knowledge-graph based bioinformatics
- Security, privacy, and trust on knowledge graphs
Committees
Organizing Committee
Honorary Co-Chairs
- Junhu Wang, Griffith University, Australia
- Xiaojie Yuan, Nankai University, China
Workshop Co-Chairs
- Xin Wang, Tianjin University, China
- Jianxin Li, University of Western Australia, Australia
Program committee
- Gao Cong, Nanyang Technological University, Singapore
- Huajun Chen, Zhejiang University, China
- Tim French, University of Western Australia, Australia
- Jun Gao, Peking University, China
- Md Saiful Islam, Griffith University, Australia
- Ronghua Li, Beijing Institute of Technology, China
- Yuanfang Li, Monash University, Australia
- Jiaheng Lu, University of Helsinki, Finland
- Jeff Z. Pan, The University of Aberdeen, UK
- Chuitian Rong, Tianjin Polytechnic University, China
- Jijun Tang, University of South Carolina, USA
- Haofen Wang, Shenzhen Gowild Robotics Co. LTD, China
- Hongzhi Wang, Harbin University of Industry, China
- Kewen Wang, Griffith University, Australia
- Guohui Xiao, Free University of Bozen-Bolzano, Italy
- Yajun Yang, Tianjin University, China
- Haiwei Zhang, Nankai University, China
- Qingpeng Zhang, City University of Hong Kong, China
- Wei Zhang, Alibaba, China
- Xuyun Zhang, The University of Auckland, New Zealand
- W. Jim Zheng, The University of Texas, Health Science Center at Houston, USA
- Yuanyuan Zhu, Wuhan University, China
Publication
KGMA 2018 proceedings will be published in ...
by Springer LNCS
Venue
The conference will be held in Holiday Inn Macao Cotai Central