Artificial Intelligence 5 min read

Call for Open Resources for CCKS 2021 Resource Track (Knowledge Graphs and Semantic Computing)

The CCKS 2021 Resource Track invites submissions of open knowledge‑graph and semantic‑computing resources—including datasets, tools, ontologies, benchmarks, workflows, and crowdsourcing designs—by May 20, with detailed guidelines, evaluation criteria, and a best‑resource award announced at the August conference in Guangzhou.

DataFunTalk
DataFunTalk
DataFunTalk
Call for Open Resources for CCKS 2021 Resource Track (Knowledge Graphs and Semantic Computing)

Conference dates: August 18-21, 2021, Guangzhou.

Resource collection deadline: May 20, 2021.

The Open Resource Track of CCKS 2021 aims to promote sharing of open knowledge‑graph and semantic‑computing resources, supporting both academic and industrial research. Resources may include open knowledge‑graph datasets, algorithm tools, ontologies, benchmark protocols, workflows, crowdsourcing task designs, and related standards.

Submission method: Submit a paper via the conference site (select “Resource Topic”) at https://easychair.org/conferences/?conf=ccks2021. Papers must be single‑blind, list authors and affiliations, be ≤6 pages (including references), and contain accessible links to the resource (e.g., OpenKG, GitHub). Use Springer LNCS template (both Word and LaTeX versions provided).

Reviewers will assess value/impact, reusability (documentation, access interfaces), and data conformity. The best open resource paper will receive the CCKS2021 Best Open Resource Award, with promotion by OpenKG and inclusion in the Springer‑published proceedings; outstanding papers may be invited to journal special issues (Big Data Research, Data Intelligence).

Resource topics (non‑exhaustive):

Open knowledge‑graph datasets, including QA, dialogue, recommendation, search, multimodal learning annotations.

Open‑source knowledge‑graph algorithm tools (reusable APIs, software frameworks).

Ontologies/terminology collections (domain schemas, semantic relations).

Benchmarking activities for KG quality or application performance.

Innovative evaluation methods and metrics for KG and related algorithms.

Reusable scientific and experimental workflows.

Crowdsourcing task designs for building gold standards.

Protocols for KG‑related research, experiments, and application development.

Chairs:

Wang Meng, Southeast University ([email protected])

Zhang Ningyu, Zhejiang University ([email protected])

Timeline:

Full paper submission deadline: May 20, 2021 (23:59 Beijing Time).

Review results notification: July 2, 2021 (23:59).

Final version submission: July 12, 2021 (23:59).

Conference and award ceremony: August 18‑21, 2021 (Beijing Time).

Organizers: Chinese Information Processing Society of China – Language and Knowledge Computing Committee (host); Guangdong University of Foreign Studies (co‑organizer).

Conference website: www.sigkg.cn/ccks2021

knowledge graphopen datasemantic computingCCKS2021resource track
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Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.

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