초록

이야기 쓰기를 돕는 본문 및 문장 검색시스템의 구축을 위해서 (1)이야기와 단락 및 문장의 구조를 분석하고 (2)색인작성과 탐색 질문에 적용되는 언어 추론을 연구하였다. 이야기 쓰기에 필요한 이야기, 단락, 그리고 문장으로 구성된 사항 데이터베이스와 필요한 추론규칙으로 이루어진 지식베이스와 온톨로지가 고안되었다. 추론의 기초인 실례(實例) 파일들은 시맨틱 웹 환경에서 작동될 마크업 언어 형식으로 만들어졌다. 시맨틱 웹 환경에서 실용적인 시스템이 되려면 단락과 문장을 정확히 대변하는 색인 방법론과 이를 정밀하게 지식베이스화 할 수 있는 마크업 언어의 창조가 필수적이라 사료된다.

Abstract

Structures of stories, paragraphs, and sentences and inferences applied to indexing and searching were studied to construct the full-text and sentence retrieval system for storytelling. The system designed the database of stories, paragraphs, and sentences and the knowledge-base of inference rules to aid to write the story. The Knowledge-base comprised the files of story frames, paragraph scripts, and sentence logics made by mark-up languages like SWRL etc. able to operate in semantic web. It is necessary to establish more precise indexing language represented the sentences and to create a mark-up languages able to construct more accurate inference rules.

초록

Abstract

Recently, semantic search techniques which are based on information space as consisting of non- ambiguous, non-redundant, formal pieces of ontological knowledge have been developed so that users do exploit large knowledge bases. The purpose of the study is to design more user-friendly and smarter retrieval interface based on ontological analysis, which can provide more precise information by reducing semantic ambiguity or more rich linked information based on well-defined relationships. Therefore, this study, first of all, focuses on ontological analysis on researcher information as selecting descriptive elements, defining classes and properties of descriptive elements, and identifying relationships between the properties and their restriction between relationships. Next, the study designs the prototypical retrieval interface based on ontology-based representation, which supports to semantic searching and browsing regarding researchers as a full-fledged domain. On the proposed retrieval interface, users can search various facts for researcher information such as research outputs or the personal information, or carrier history and browse the social connection of the researchers such as researcher group that is lecturing or researching on the same subject or involving in the same intellectual communication.