{"title":"On the Conceptual Tagging: An Ontology Pruning Use Case","authors":"Ljiljana Stojanović, N. Stojanović, Jun Ma","doi":"10.1109/WI.2007.81","DOIUrl":null,"url":null,"abstract":"In this paper we present a method for tagging web pages using more formal conceptual structures than a set of keywords. We have developed a formal Tag model and a method to map a set of keywords on it. Moreover, this model is used as the basis for the conceptual tag refinement, which searches for terms which are conceptually related to the tags that are assigned to an information source. In that way the meaning of the tags can be disambiguated, which supports a better usage of tags for further management of tagged documents. We have developed a software tool, an annotation framework, which realizes this approach. We present results from the first evaluation studies regarding its application for ontology pruning.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI.2007.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
In this paper we present a method for tagging web pages using more formal conceptual structures than a set of keywords. We have developed a formal Tag model and a method to map a set of keywords on it. Moreover, this model is used as the basis for the conceptual tag refinement, which searches for terms which are conceptually related to the tags that are assigned to an information source. In that way the meaning of the tags can be disambiguated, which supports a better usage of tags for further management of tagged documents. We have developed a software tool, an annotation framework, which realizes this approach. We present results from the first evaluation studies regarding its application for ontology pruning.
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