TAILIEUCHUNG - Báo cáo khoa học: "MIMA Search: A Structuring Knowledge System towards Innovation for Engineering Education"

The main aim of the MIMA (Mining Information for Management and Acquisition) Search System is to achieve ‘structuring knowledge’ to accelerate knowledge exploitation in the domains of science and technology. This system integrates natural language processing including ontology development, information retrieval, visualization, and database technology. The ‘structuring knowledge’ that we define indicates 1) knowledge storage, 2) (hierarchical) classification of knowledge, 3) analysis of knowledge, 4) visualization of knowledge. We aim at integrating different types of databases (papers and patents, technologies and innovations) and knowledge domains, and simultaneously retrieving different types of knowledge. . | MIMA Search A Structuring Knowledge System towards Innovation for Engineering Education Hideki Mima School of Engineering University of Tokyo Hongo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan mima@ Abstract The main aim of the MIMA Mining Information for Management and Acquisition Search System is to achieve structuring knowledge to accelerate knowledge exploitation in the domains of science and technology. This system integrates natural language processing including ontology development information retrieval visualization and database technology. The structuring knowledge that we define indicates 1 knowledge storage 2 hierarchical classification of knowledge 3 analysis of knowledge 4 visualization of knowledge. We aim at integrating different types of databases papers and patents technologies and innovations and knowledge domains and simultaneously retrieving different types of knowledge. Applications for the several targets such as syllabus structuring will also be mentioned. 1 Introduction The growing number of electronically available knowledge sources KSs emphasizes the importance of developing flexible and efficient tools for automatic knowledge acquisition and structuring in terms of knowledge integration. Different text and literature mining techniques have been developed recently in order to facilitate efficient discovery of knowledge contained in large textual collections. The main goal of literature mining is to retrieve knowledge that is buried in a text and to present the distilled knowledge to users in a concise form. Its advantage compared to manual knowledge discovery is based on the assumption that automatic methods are able to process an enormous amount of text. It is doubtful that any researcher could process such a huge amount of information especially if the knowledge spans across domains. For these reasons literature mining aims at helping scientists in col lecting maintaining interpreting and curating information. In this paper

• Báo cáo khoa học
• Structuring Knowledge System towards Innovation
• Engineering Education
• Hideki Mima
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học