Abstract Knowledge Graph (KG) embedding has emerged as an active area of research resulting in the development of several KG embedding methods. Relational facts in KG often …
Fashion knowledge encourages people to properly dress and faces not only physiological necessity of users, but also the requirement of social practices and activities. It usually …
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia …
PP Talukdar, K Crammer - Machine Learning and Knowledge Discovery in …, 2009 - Springer
We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge between …
N Nakashole, M Theobald, G Weikum - … on Web search and data mining, 2011 - dl.acm.org
Harvesting relational facts from Web sources has received great attention for automatically constructing large knowledge bases. Stateof-the-art approaches combine pattern-based …
G Weikum, M Theobald - Proceedings of the twenty-ninth ACM SIGMOD …, 2010 - dl.acm.org
There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by the advent of knowledge-sharing communities such as …
One of the main tasks when creating and maintaining knowledge bases is to validate facts and provide sources for them in order to ensure correctness and traceability of the provided …
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (eg, Bill Clinton-presidentOf-US) from large text corpora …
F Suchanek, G Weikum - Proceedings of the 2013 ACM SIGMOD …, 2013 - dl.acm.org
The proliferation of knowledge-sharing communities such as Wikipedia and the progress in scalable information extraction from Web and text sources have enabled the automatic …