Title: Seminar: Knowledge Graph Analysis
Lecturers: Alsayed Algergawy
Starts on: 2019-04-09
Ends on: 2019-07-09
Time and Location:

Description

Traditional database systems and warehouses are centered around records and tuples, which can be effective and efficient when a domain is well known in advance.  However, in domains where one has the need to flexibly connect all sort of, possibly unexpected kind of information to the records, the Knowledge Graphs technology has distinctive advantages. As a result, currently the term “Knowledge Graph” has become mainstream as information giants like Google, Facebook, Yahoo, Microsoft, have announced their move from traditional search and data management to “Knowledge Graphs“.

In this seminar, we aim to discuss the current topics related to “Knowledge Graphs”, which includes, but not limited to:

  • Knowledge representation
  • Semantic search
  • Query answering
  • Entity matching and resolution
  • Link discovery
  • Knowledge graph partitioning and clustering
  • Community detection
  • Application of machine learning on Knowledge graph