Ontology-based Semantic Annotation Authoring and Retrieval

• Main Authors: Shu-Hua Hsu, 徐淑華
• Other Authors: Show-Yang Wu
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/08348740356196771244

碩士 === 國立東華大學 === 資訊工程學系 === 91 === With popular of the internet, data grow up quickly for each domain. These huge data distributes in each server of the world. In order to use this data that handing the meaning very well, therefore data processing technology is more important. The goal of semantic annotation helps the people understand the meaning of data by annotating the electronic document. It also makes computer working more efficient. This function is one of the important basic researches for data change and data retrieval. The fashionable of XML is not enough for semantic description of document content. DAML is a powerful language for semantic description. The DAML+OIL can descript Ontologies. It provides system or authors to map document and makes document object content has clear relation by semantic description. It also makes document content process more efficient. Therefore, we purposed ontology-based semantic annotation authoring and retrieval system, included structure and content analysis、three kinds of annotation models and annotation tools etc.. Our system let authors have multiple choices for authoring annotation. It also provides annotation position ranking and annotation tool ranking to author for annotating cue. Besides our system can automatic annotate document object. It provides the most need annotation for document object directly. As for annotation access, it stores annotation with XML document. It is convenient for mapping original XML document and makes system fast and correct retrieval annotation.