Duration: 1:15:15

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As web search is becoming more and more structured thanks to the availability of knowledge bases, scholar engines are also evolving towards that direction while facing the similar challenges and issues. This session focuses on bridging the gap between unstructured text and structured relationships to create new sematic scholar engines. We hope this session serves as a discussion forum to bring together researchers from both academia and industrial labs from different disciplines to work together and exchange ideas on how to jointly optimize scholar engines and knowledge base systems while sharing their respective experiences in dealing with common issues in both areas.