Marek Reformat
Chair: Yusuke Nojima
Title: Semantic Web Technology for Human and Machine Interaction
Department of Electrical and Computer Engineering
Talk Abstract：
Knowledge Graphs provide a semantically rich representation of data and information.They focus on expressing different types of relations existing between entities and forming their feature-based descriptions.
This talks provides an introduction to Resource Description Framework - RDF - as one of the most popular standards governing construction of knowledge graphs. It also presents two undertakings illustrating advantages of using such representation of information for humans: 1) a learning process that integrates new information represented as relations; and 2) a knowledge graph based Question-Answering (QA) system that allows users to ask natural language questions containing linguistic terms, such as SMALL, LARGE, or TALL.
Vita：
Marek Reformat focus on developing more human-aware and human-like systems via combining: elements of Computational Intelligence - granular (fuzzy) computing, neuro computing, and evolutionary computing - able to capture relationships between pieces of data and knowledge, as well as mimic human ways of reasoning; with techniques capable of dealing with uncertainty - possibility theory, probability theory, Dempster-Shafer's evidence theory; and with Semantic Web based knowledge representation forms, especially Resource Description Framework (RDF)
Plenary Talk：