Conference Information

DIKW-RA 2021: Data, Information, Knowledge and Wisdom Research and Applications Conference

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Submission Date:
2021-08-30 Extended
Notification Date:
2021-09-15
Conference Date:
2021-12-17
Location:
Haikou, China
Viewed: 12115   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,137 of 5,682 conferences · Top 73%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-16

Call For Papers

DIKW-RA 2021 (Data, Information, Knowledge and Wisdom Research and Applications Conference) is an academic conference held in Haikou, China on 2021-12-17. The paper submission deadline is 2021-08-30 (extended). Acceptance notifications are sent on 2021-09-15.

High-quality original research contributions in the areas of research and applications of data, information and knowledge are welcome to submit to our conference. We also welcome any original contributions that may cross the boundaries among areas or point in other novel directions of interest to the data and information research community: Application of Knowledge Representation Techniques to Semantic Modeling Big Data and Cloud Computing Cooperation in Heterogeneous Systems Data Integration, Metadata Management, and Interoperability Data and Knowledge Sharing Data Mining and Knowledge Discovery Data Models, Semantics, Query languages Data Provenance, cleaning, curation Data Stream Systems and Sensor Networks Data Visualization and Interactive Data Exploration Database Privacy, Security, Trust and Design Development and Management of Heterogeneous Knowledge Bases Digital Libraries Domain Modeling and Ontology-Building Information Security Information Storage and Retrieval and Interface Technology Management Information Systems Multimedia Databases Optimization Techniques Performance Evaluation
Last updated by Dou Sun on

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