The 1st Workshop on Knowledge Base Construction, Reasoning and Mining (KBCOM) is a new workshop that will be co-located with WSDM 2018. The success of data mining and search technologies is largely attributed to the efficient and effective analysis of structured data. Automated construction, mining and reasoning of knowledge bases and graphs have become possible as research advances in many related areas such as information extraction, natural language processing, machine learning and databases. KBCOM aims to gather together leading experts from industry and academia to share their visions about the field, discuss latest research results, and exchange exciting ideas.
Knowledge Base Construction:
information extraction: named entity recognition, relation extraction, entity resolution, synonym mining
ontology construction information integration schema alignment, ontology alignment
tools and systems for automated knowledge base construction
structured prediction methods on text, sequence labeling methods on text
distant supervision, weak supervision techniques for text
Human-in-the-loop techniques for KB construction
Mining and Reasoning over Knowledge Bases:
structured search, KB querying, semantic search
representation learning on network/graph, knowledge graph embedding, knowledge base completion/population, link prediction
knowledge-based systems, probabilistic knowledge bases, graph databases
Knowledge Base-related Applications:
KB-based QA, hybrid QA, QA with open-domain facts
Injecting rule/logic into recommendation systems, recommendation with knowledge bases
web search using knowledge bases, search by example User study in KB-related applications, user interface, best practices
02月09日
2018
会议日期
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
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