Comment Closed publications, research directions
Yang Chen Today’s World Wide Web contains huge volumes of information about people, places, and events all over the world. Unfortunately, these information is intended for human readers and not ready for direct machine processing, making it hard to query and analyze systematically. To overcome this limit, researchers are trying to convert them into structured
Daisy Zhe Wang No Comment research directions
Daisy Zhe Wang I recently wrote an article for the CISE department newsletter describing various research work we do in the DSR Lab. In particular, I highlighted the knowledge base expansion work we are doing in collaboration with Google Research, and the TREC knowledge base acceleration competition we participated in the summer. Use this I
Comment Closed
ProbKB: Web-Scale Probabilistic Knowledge Base Recent years have seen a drastic rise in the construction of web-scale knowledge bases (e.g., Freebase, YAGO, DBPedia). These knowledge bases store structured information about real-world people, places, organizations, etc. However, due to limitations of human knowledge and extraction algorithms, current knowledge bases are still far from complete. The ProbKB project aims
