關鍵詞：語義萬維網，本體，資源描述框架，語義檢索，元數據
Research and Realization on Semantic Based Specialized Literatures Learning System
Abstract
The literature study is important in an entire study process, and also indispensable in the further study. To attention literature study, not only walk little tortuous path, consolidated specialized knowledge, moreover also unify senior's experience to carry on the innovation in the certain degree. And, the most front theories are also manifested in the literature. Therefore, the specialized literatures which are found quickly and accurately may enhance the study efficiency and promote specialized accomplishment. But nowadays literature retrieva l is basic on matching grammar and full text retrieva l technology. The result is not satisfied to learners. It takes lots of time to search articles, but maybe they are not in need.
This paper proposes the framework of specialized literature study system through analyzing the semantic web structure, studying ontology knowledge, and researching RDF inference technology. The purpose of the framework is to withdraw the semantic information of the specialized literature, and to manage the specialized literature classification of files. It realizes semantic analysis of specialized literature and gives the inquiry system enough semantic information to solve problems that current literature retrieva l system is difficult to distinguish the synonym words and search correlation information and so on, in order to study further and communicate each other.
The keynotes of this article are metadata description for literature, subject ontology creation, RDF semantic retrieva l. They are also the theory bases of semantic retrieva l. Firstly, according to the structure of specialized literatures and main content which students care for, we build the metadata database for literatures. Then after analyzing knowledge structure and characteristics, we build a subject ontology which is directed against the subject knowledge of computer network course. According to representation relationship between the field ontology and metadata, the specialized literature can related to its subject knowledge feature and obtain knowledge structure. And then add the semantic description about resources by RDF, it support some limited inference according to RDF description method and entailment rules.
We have developed a specialized literature study system on computer network field based on semantic. This system tries to solve problems that ordinary systems can not do, such as identify synonyms, relative retrieva l. The result of experimentation proves that this retrieva l framework makes semantic of specialized literatures sufficiently emerged and the good feasibility of search strategy.
