{"id":19,"date":"2022-03-25T05:18:18","date_gmt":"2022-03-25T05:18:18","guid":{"rendered":"http:\/\/sigkg.cn\/ccks2022\/en\/?page_id=19"},"modified":"2022-07-11T02:04:21","modified_gmt":"2022-07-11T02:04:21","slug":"call-for-paper","status":"publish","type":"page","link":"https:\/\/sigkg.cn\/ccks2022\/en\/index.php\/call-for-paper\/","title":{"rendered":"Call for Paper"},"content":{"rendered":"\n

August 24th\u00a0to 27th,\u00a02022, Qinhuangdao, Grand Hotel Qinhuang<\/strong><\/p>\n\n\n\n

Submission Deadline:  May 22nd 2022<\/s><\/strong>  June 3rd 2022<\/strong><\/p>\n\n\n\n

The theme of CCKS2022 is \u201cKnowledge Graph Empowers Digital Economy<\/em>\u201d, which aims to explore key technologies of language understanding, knowledge acquisition, knowledge fusion, and knowledge reasoning in the process of digital industrialization and industrial digitalization, and discuss knowledge driven innovative applications, in order to accelerate the digital society construction, create good digital ecosystems and prompt digital China construction. CCKS2022 will include tutorials, keynotes, industry forums, evaluations and competitions, review of top conferences, poster\/demo and academic paper presentations. The conference will invite world-renowned scholars at home and abroad to give lectures on the latest research advancement, recent trending and practical experience in related fields. The industry forum will invite key R&D personnel from industrial partners to share their experience and promote the cooperation between industry and academia. <\/p>\n\n\n\n

CCKS 2022 solicits submissions of original research work related to Knowledge Graph. Submissions must be in PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS, word template<\/a>, latex template<\/a>). Full paper submissions must be no longer than 12 pages. All submissions will be critically reviewed by at least three members of the Program Committee of the conference. To assess submissions, reviewers will judge their relevance to the conference, their originality, technical soundness and depth of their proposed approach, and the readability of the submissions. Specifically, CCKS2022 adopts a double-blind reviewing process, following the principle of conflict of interest. When submitting a manuscript, you should not disclose the author\u2019s information in any place such as the title page, acknowledgments, quotations, main text, footnotes, etc., otherwise it will be rejected without review. <\/p>\n\n\n\n

Accepted English papers will be published in a Springer LNCS proceedings. A small number of the outstanding English papers accepted by CCKS2022 will be recommended to the Journal of Data Intelligence, Journal of Computer Science and Technology (JCST), and AI Open. Accepted Chinese papers will be recommended to the Journal of Chinese Information Processing, the ACTA Scientiarum Naturalium Universitatis Pekinensis, Journal of Shanxi University, Software Guide and Journal of Yanshan University. The journals to which papers are recommended might require an additional reviewing process before being accepted for publication.<\/p>\n\n\n\n

All manuscripts (including both English and Chinese papers) should be submitted electronically via EasyChair: https:\/\/easychair.org\/conferences\/?conf=ccks2022<\/a> <\/p>\n\n\n\n

Topics of interest include, but are not limited to:<\/p>\n\n\n\n

Knowledge Representation and Reasoning<\/strong><\/p>\n\n\n\n

Knowledge Representation and Ontology Modeling<\/p>\n\n\n\n

Knowledge Graph Representation Learning <\/p>\n\n\n\n

Ontology Reuse and Evolution<\/p>\n\n\n\n

Ontology Mapping, Fusion and Alignment<\/p>\n\n\n\n

Ontology Evaluation<\/p>\n\n\n\n

Knowledge Reasoning<\/p>\n\n\n\n

Knowledge Base Completion<\/p>\n\n\n\n

Knowledge Acquisition and Knowledge Base Construction<\/strong><\/p>\n\n\n\n

Open Knowledge Extraction<\/p>\n\n\n\n

Human-Machine Cooperated Knowledge Acquisition<\/p>\n\n\n\n

Crowd Sourcing for Knowledge Engineering<\/p>\n\n\n\n

Multi-Modal Knowledge Extraction<\/p>\n\n\n\n

Complex Knowledge (Events, Rules, Processes) Acquisition<\/p>\n\n\n\n

Few Shot Learning\/Weakly Supervised Learning for Knowledge Acquisition<\/p>\n\n\n\n

Automated Knowledge Base Population<\/p>\n\n\n\n

Linked Data, Knowledge Fusion & Knowledge Graph Management <\/strong><\/p>\n\n\n\n

Entity Recognition, Disambiguation, and Linking<\/p>\n\n\n\n

Ontology Matching<\/p>\n\n\n\n

Heterogeneous Knowledge Fusion<\/p>\n\n\n\n

Ontology-based Data Integration<\/p>\n\n\n\n

Large Scale Knowledge Querying and Searching<\/p>\n\n\n\n

Elastic Knowledge Storage and Distributed Computing<\/p>\n\n\n\n

Graph Database<\/p>\n\n\n\n

Natural Language Understanding and Semantic Computing<\/strong><\/p>\n\n\n\n

Knowledge Enhanced Text Understanding<\/p>\n\n\n\n

Machine Reading<\/p>\n\n\n\n

Semantic Similarity Calculation<\/p>\n\n\n\n

Knowledge Graph Applications<\/strong><\/p>\n\n\n\n

Knowledge Graph Visualization<\/p>\n\n\n\n

Semantic Search and Recommendation<\/p>\n\n\n\n

Knowledge-based Question Answering<\/p>\n\n\n\n

Smart Personal Assistant<\/p>\n\n\n\n

Knowledge Empowered Semantic Analysis on Multi-modal Data<\/p>\n\n\n\n

Important Dates:<\/strong><\/p>\n\n\n\n

Full Paper Submissions: 23:59 (Beijing Time), May 22, 2022 <\/s>June 3, 2022<\/strong><\/p>\n\n\n\n

Acceptance Notifications: 23:59 (Beijing Time), July 3, 2022<\/strong><\/p>\n\n\n\n

Camera Ready Submissions: 23:59 (Beijing Time), July 10, 2022<\/strong><\/p>\n\n\n\n

Conference Date: August 24-27, 2022<\/strong><\/p>\n\n\n\n

Organizer:<\/strong><\/p>\n\n\n\n

Committee of Language and Knowledge Computing of Chinese Information Processing Society of China<\/p>\n\n\n\n

Local Organizer:<\/strong><\/p>\n\n\n\n

Yanshan University<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

August 24th\u00a0to 27th,\u00a02022, Qinhuangdao, Grand Hotel Qinhuang Submission Deadline:  May 22nd 2022  June 3rd 2022 The theme of CCKS2022 is \u201cKnowledge Graph Empowers Digital Economy\u201d, which aims to explore key technologies of language understanding, knowledge acquisition, knowledge fusion, and knowledge reasoning in the process of digital industrialization and industrial digitalization, and discuss knowledge driven innovative … <\/p>\n

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