From SWRC

The Semantic Web Research Center (SWRC) is a research center committed to the study of the next-generation semantic web, and to the development of the basic infrastructural technologies to lead the coming semantic web era, based on technologies such as ontology construction and neuro-scientific artificial intelligence creation that will be the foundation of the future world. Founded in 1998 as the Korea Terminology Research Center For Language And Knowledge Engineering (KORTERM), SWRC was established as the research in terminology and language engineering was expanding into studies advancing the ontology of the next-generation semantic web, including technologies such as inference engines, knowledge portals, and ubiquitous brokers. The center’s immediate objective is to increase the capacity within KAIST to make KAIST the forerunner in the field of semantic web, and to enhance the participation of professors and researchers, in order to develop the center into a representative national and international research organization. more ...

Recent Researches                        Resources

Korean Parser A project to build a Korean syntactic parser. Syntactic parser plays basic role for many natural language processing applications. NCRC: Health Avatar The Health Avatar project aims to mine information of medical knowledge from both literature and Web, and to serve as a support resource for the knowledge engine of Avatar. openEBook The openEBook project signposts future-oriented e-book that can supply users with better knowledge and better interface. DBpedia Korea The DBpedia Korea project aims to extract structured datasets from Wikipedia in Korean. Smart Calendar: From Email to Calendar The Smart Calendar project aims to automatic schedule information extraction from user's emails, and update those information automatically to the user's electronic calendar. Intrinsic Property and its applications Intrinsic property, or rigid property, is a property which represents essentiality of a thing. This research is about mining intrinsic properties of a thing automatically from Wikipedia category structure, and applying it to various fields. Multilingual Synchronization this research is to synthesize contents of Wikipedia from multiple different language editions. CoreNet: Core Multilingual Semantic WordNet CoreNet is a net of words based on their semantics, and could be a useful resource in natural language proessing. Especially, it could act as a important knowledge base for information retrieval and machine translation. HanNanum: Korean Morphological Analyzer Hannanum is a morphological analyzer and a POS tagger which is plug-in component architecture-based tool. Hannanum was developed in Java, so this tool is available in every platform which has JRE. See all researches ...

Concept Categories Corpus Classified concept table: Korean, Japanese, Chinese, English 62,281 concepts CoreNet Corpus KR-CN-JP concept system(2937 concepts), Subcatframes for Korean verbs and adjectives, Subcatframes for Chinese verbs and adjectives. Dictionaries Corpus Korean dictionary, dictionary for proper noun, compound, verb subcatframe, Korean-Chinese dictionary Evaluation Dataset Corpus Q & A test suite, test suite for machine translation, test suite for English-to-Korean transliteration Images Corpus Korean character image database KAIST Corpus 70 million eojeol Korean text Corpus, POS-annotated Corpus, Tree-annotated Corpus, Korean-Chinese parallel corpus, Korean-English parallel corpus... Voices Corpus 450 eojeol voice corpus, 2,000 eojeol voice corpus, ornidary sentences, numeral expression