Semantic-based Geometric Disciplinary Knowledge Platform

The discipline knowledge is the most fundamental common knowledge forhumanity. How to use modern information technology to integrate organicallyand provide personalized service for knowledge learners or disseminators, is amajor subject of knowledge engineering and artificial intelligence, also a key issueof information technology education.Internet has already become one of the most abundant knowledge resources,and the same to education field. But in traditional information resource manage-ment pattern, the information lacks a uniform semantic description. It is hardfor user to find more relevant information resource and realize the informationsemantic fusion.How to assign the managed resource a machine understandable meaning to fa-cilitate user to find what they really need , and according to the domain knowledgeto realize the information semantic fusion, are challenging tasks for informationresource management. The domain ontology is a formal, explicit specification ofa shared conceptualization, which can represent domain knowledge and facilitatethe inter-operation between the heterogenous application systems.Although the domain ontology technology has the widespread application inmany research areas, but the research in the disciplinary knowledge fields still juststarted. This article tried to make innovative exploration in this new developingfield. A significant part of the article concerns the following:1 Based on RDFS, the concepts in geometry domain and relations amongthese concepts, such as inheritance relationship, instance relationship andrestrictions, are built by the Geometry Ontology (GO) to represent highlysharable and reusable domain knowledge.2 As an important application of platform, the degree of concept similarityand relevant algorithm are proposed to solve the problems of computingsimilarity and relevant. It's the important foundation of intelligent reasoningand judgment.3 To meet with the drawing characteristic of the figure and requirement ofsearching for on the platform, this article proposes the similar geometricfigure searching algorithm based on topological structure, which has theability to recognize fuzzy similar figures;and set up index by structurecoding.4 Combine with natural language processing technology to realize disciplinaryknowledge acquisition automatically, search and inquire in natural language.5 Realize the framework of disciplinary knowledge platform and applicationmodes based on Web for domain ontology, which o?er knowledge services asdrawing , searching etc..