＊ About SWRC :
Semantic Web Research Center (SWRC) at KAIST is highly committed to leading the next coming generations of semantic web applications and services, based on the profound development of a wide variety of applied technologies such as machine reading and deep understanding, machine learning, natural language processing, ontology and knowledge engineering, cognitive computing, question answering and so on. Our Center strongly encourages interested students and researchers to actively participate in, and to further become forerunners of both national and international representation in the field of semantic web and other related studies.
＊ Exobrain WiseKB Project (2013-) :
Exobrain, more specifically WiseKB, Project by SWRC aims to construct and expand knowledge bases through self-machine-learning of knowledge from the collected big data, and to develop relevant technologies to be able to further verify these knowledge.
＊ Bio & Medical Informatics Project (2015-) :
SWRC's Bio & Medical Informatics Project is about automatic extraction and detection of terms from electronic medical records (EMR) to discover hidden / interesting correlations of multi-faceted data.
＊ Korean DBpedia Project (2010-) :
The main objective of Korean DBpedia Project by SWRC is to extract structured datasets from Wikipedia sentences in Korean.
＊ LG Bio Project (2015-) :
SWRC's LG Bio Project is about question answering in biological domain based on the PubMed and MeSH database while finding relevant concepts and snippets of given questions as prerequisites.
＊ Open Knowledge Base and Question Answering Hackathon (2014-) :
OKBQA Hackathon organized by SWRC on an annual basis aims at facilitating open collaboration for development of knowledge base and question-answering technology which will become the core of many intelligent systems. Naturally being interdisciplinary collaboration, the OKBQA Hackathon is based on cutting-edge technology of semantic web, natural language processing, machine learning, and so forth.