Buying a ticket to see your favorite band, movie, sports team, festival, or celebration has become a fairly simple process since the advent of the Internet. Patrons can go to sites like Ticketmaster, ...
Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network embedding models are ...
Constructing event timelines from unstructured temporal data is a fundamental challenge for knowledge extraction and reasoning systems. Existing temporal reasoning methods face challenges in jointly ...
PORTLAND, Ore., Sept. 29, 2022 (GLOBE NEWSWIRE) -- thatDot, Inc., the pioneer in streaming graph event processing software, today announced that Quine streaming graph, their real-time graph data ...
To support ubiquitous AI, a Knowledge Graph system will have to fuse and integrate data, not just in representation, but in context (ontologies, metadata, domain knowledge, terminology systems), and ...
Knowledge Management requires a new data model approach that unifies typical enterprise data with knowledge bases such as taxonomies, ontologies, industry terms and other domain knowledge. Franz’s ...
Document-level Role Filler Extraction exhibits a wide range of application value in natural language processing, including information retrieval, article summarization and trends analysis of world ...
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