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  1. No Access

    Article

    Correcting rainfall forecasts of a numerical weather prediction model using generative adversarial networks

    In recent years, the use of deep learning techniques to forecast the weather has increased significantly; however, existing machine learning methods based on observed data are only suitable for very short-term...

    Chang-Hoo Jeong, Mun Yong Yi in The Journal of Supercomputing (2023)

  2. No Access

    Article

    Distributed RDF store for efficient searching billions of triples based on Hadoop

    As the development of IT and scientific technology, very large amounts of knowledge data are continuously being created and the big data era can be said to have arrived. Therefore, RDF store inserting and inqu...

    Jung-Ho Um, Seungwoo Lee, Tae-Hong Kim, Chang-Hoo Jeong in The Journal of Supercomputing (2016)

  3. No Access

    Chapter and Conference Paper

    MapReduce-Based Bulk-Loading Algorithm for Fast Search for Billions of Triples

    Due to the development of IT and scientific technology, huge amounts of data are continuously being created and the big data era can be said to have arrived. Therefore, triple store inserting and inquiring int...

    Jung-Ho Um, Seungwoo Lee, Tae-Hong Kim in Computer Science and its Applications (2015)

  4. No Access

    Article

    Grid-based framework for high-performance processing of scientific knowledge

    An essential matter in the knowledge-based information society is how to extract useful information quickly from a large volume of literature. Since most existing data mining frameworks deal with structured in...

    Chang-Hoo Jeong, Yun-Soo Choi, Hong-Woo Chun in Multimedia Tools and Applications (2014)

  5. No Access

    Chapter and Conference Paper

    Fast Big Textual Data Parsing in Distributed and Parallel Computing Environment

    Currently, tremendous numbers of scientific and technical articles are being published due to the rapid development of the scientific and technical fields. Also, systems are being proposed which can give usefu...

    Jung-Ho Um, Chang-Hoo Jeong, Sung-Pil Choi in Mobile, Ubiquitous, and Intelligent Comput… (2014)

  6. Chapter and Conference Paper

    Pathway Construction and Extension Using Natural Language Processing

    Construction and maintenance of signaling pathway is a time-consuming and labor-intensive task. In addition, integration of various pathways is also ineffective since several markup languages are used to expre...

    Hong-Woo Chun, Sung-Jae Jung in Human Interface and the Management of Info… (2013)

  7. No Access

    Chapter and Conference Paper

    Feasibility Study for Procedural Knowledge Extraction in Biomedical Documents

    We propose how to extract procedural knowledge rather than declarative knowledge utilizing machine learning method with deep language processing features in scientific documents, as well as how to model it. We...

    Sa-kwang Song, Yun-soo Choi, Heung-seon Oh in Information Retrieval Technology (2011)

  8. No Access

    Chapter and Conference Paper

    Multi-words Terminology Recognition Using Web Search

    Terminology recognition system which is a fundamental research for Technology Opportunity Discovery (TOD) has been intensively studied in limited range of domains, especially in bio-medical domain. We propose ...

    Sa-Kwang Song, Yun-Soo Choi, Hong-Woo Chun in U- and E-Service, Science and Technology (2011)

  9. No Access

    Chapter and Conference Paper

    Relation Extraction Based on Composite Kernel Combining Pattern Similarity of Predicate-Argument Structure

    Lots of valuable textual information is used to extract relations between named entities from literature. Composite kernel approach is proposed in this paper. The composite kernel approach calculates similarit...

    Hong-Woo Chun, Chang-Hoo Jeong, Sa-Kwang Song in U- and E-Service, Science and Technology (2011)

  10. No Access

    Chapter and Conference Paper

    Smart Searching System for Virtual Science Brain

    To decide research topics or analyze technical trends, researchers should collect and analyze information from hundreds of thousands of articles, patents, and technical reports. To facilitate the process, info...

    Hong-Woo Chun, Chang-Hoo Jeong, Sa-Kwang Song, Yun-Soo Choi in Active Media Technology (2011)

  11. No Access

    Chapter and Conference Paper

    Procedural Knowledge Extraction on MEDLINE Abstracts

    Text mining is a popular methodology for building Technology Intelligence which helps companies or organizations to make better decisions by providing knowledge about the state-of-the-art technologies obtained...

    Sa-kwang Song, Heung-seon Oh, Sung Hyon Myaeng, Sung-pil Choi in Active Media Technology (2011)