Unified DataBase Management System research group / Jiaheng Lu

Organization profile

Organisation Profile

As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support massive volume of non-relational or unstructured forms of data. The research focus of UDBMS group is to develop a novel unified database management system to manage both well-structured data and NoSQL data. Our approach will reduce integration issues, simplify operations, and eliminate migration issues between relational and NoSQL data

International and National Collaboration Publications and projects within past five years.

Publications 2016 2019

  • 13 Conference contribution
  • 6 Article
  • 2 Poster
  • 1 Other conference material

Multi-model Databases: A New Journey to Handle the Variety of Data

Lu, J. & Holubová, I., Jun 2019, In : ACM Computing Surveys. 52, 3, 38 p., 55.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

UniBench: A Benchmark for Multi-Model Database Management Systems

Zhang, C., Lu, J., Xu, P. & Chen, Y., 2019, Performance Evaluation and Benchmarking for the Era of Artificial Intelligence: 10th TPC Technology Conference, TPCTC 2018, Rio de Janeiro, Brazil, August 27–31, 2018, Revised Selected Papers. Nambiar, R. & Poess, M. (eds.). Cham: Springer, p. 7-23 16 p. (Lecture Notes in Computer Science; vol. 11135).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Crowd-Type: A Crowdsourcing-Based Tool for Type Completion in Knowledge Bases

Dong, Z., Tu, J., Fan, J., Lu, J., Du, X. & Ling, T. W., 2018, p. 17-21. 5 p.

Research output: Conference materialsOther conference materialResearchpeer-review

Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint

Xu, P. & Lu, J., 15 Aug 2018, CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management . New York, NY: ACM, p. 1563-1566 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-memory OLAP

Zhang, Y., Wang, S., Lu, J. & Zhang, Y., 2018, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Activities 2015 2019

  • 6 Organisation and participation in conferences, workshops, courses, seminars
  • 6 Membership or other role in review committee
  • 1 Peer review of manuscripts
  • 1 Membership or other role in national/international committee, council, board

46th International Conference on Very Large Data Bases - VLDB2020 (Event)

Jiaheng Lu (Member)
Mar 2019Mar 2020

Activity: Membership typesMembership or other role in national/international committee, council, board

The Annual Symposium of Computer Science in Finland

Chao Zhang (Attendee)
4 Jun 20185 Jun 2018

Activity: Participating in or organising an event typesOrganisation and participation in conferences, workshops, courses, seminars

35th IEEE International Conference on Data Engineering (ICDE 2019) (Event)

Jiaheng Lu (Board member)
1 Jul 201831 Dec 2018

Activity: Membership typesMembership or other role in review committee

The 37th International Conference on Conceptual Modeling

Jiaheng Lu (Member of organizing committee)
22 Oct 201825 Oct 2018

Activity: Participating in or organising an event typesOrganisation and participation in conferences, workshops, courses, seminars

The 44th International Conference on Very Large Data Base 2018

Chao Zhang (Attendee), Yuxing Chen (Attendee)
27 Aug 201831 Aug 2018

Activity: Participating in or organising an event typesOrganisation and participation in conferences, workshops, courses, seminars