From Semantic Networks to Knowledge Graphs
KGC | The Complete Collection
•
25m
Since the 1960s, semantic networks of various kinds have been used for knowledge representation in AI and NLP. From the mid 1990s to 2005, Tim Berners-Lee and his colleagues adapted that technology to the Semantic Web. During the past 15 years, research in AI and related fields has created new opportunities, but it has also posed challenges that were not foreseen in 2005. This talk will analyze the strengths and weaknesses of various knowledge graphs and their implications for future developments.
#knowledgegraphs #knowledgegraphconference #knowledgegraphschema #knowledgegraphdata
Up Next in KGC | The Complete Collection
-
Demo | Ontotext GraphDB
Vassil Momtchev announces new features of GraphDB and Ontotext platform
-
Visual Analytics of Large Knowledge G...
Grasping large Knowledge Graphs is challenging. We present SemSpect, an innovative tool that brings together overview and detail view into one perspective by visually aggregating graph nodes and relationships for efficient exploration and data-driven querying of graphs. It comes either with a rea...
-
Personal Knowledge Graphs on the Web
In today’s data-driven economy, the company with the most data wins. This means that companies go through great lengths to collect all of our data, sometimes even crossing ethical boundaries. But in the end, we all lose: having the best data process is not an indication of how well a company inno...
