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Vagueness and uncertainty in information retrieval: how can fuzzy sets help? 信息检索中的模糊性和不确定性:模糊集如何起作用?
International Workshop On Research Issues in Digital Libraries Pub Date : 2006-12-12 DOI: 10.1145/1364742.1364746
D. Kraft, G. Pasi, Gloria Bordogna
{"title":"Vagueness and uncertainty in information retrieval: how can fuzzy sets help?","authors":"D. Kraft, G. Pasi, Gloria Bordogna","doi":"10.1145/1364742.1364746","DOIUrl":"https://doi.org/10.1145/1364742.1364746","url":null,"abstract":"The field of fuzzy information systems has grown and is maturing. In this paper, some applications of fuzzy set theory to information retrieval are described, as well as the more recent outcomes of research in this field. Fuzzy set theory is applied to information retrieval with the main aim being to define flexible systems, i.e., systems that can represent and manage the vagueness and subjectivity which characterizes the process of information representation and retrieval, one of the main objectives of artificial intelligence.","PeriodicalId":287514,"journal":{"name":"International Workshop On Research Issues in Digital Libraries","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123497211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
Diffusion maps-based image clustering 基于扩散图的图像聚类
International Workshop On Research Issues in Digital Libraries Pub Date : 2006-12-12 DOI: 10.1145/1364742.1364754
R. Agrawal, C.-H. Wu, W. Grosky, F. Fotouhi
{"title":"Diffusion maps-based image clustering","authors":"R. Agrawal, C.-H. Wu, W. Grosky, F. Fotouhi","doi":"10.1145/1364742.1364754","DOIUrl":"https://doi.org/10.1145/1364742.1364754","url":null,"abstract":"In the clustering of large number of images using low-level features, one of the problems encountered is the high dimensional feature space. The high dimensionality of feature spaces leads to unnecessary cost in feature selection and also in the distance measurement during the clustering process. In this paper, we propose an approach to reduce the dimensionality of the feature space based on diffusion maps. In the proposed approach, each image is represented by a set of tiles. A visual keyword-image matrix is derived from classifying these tiles into a set of clusters and counting the occurrence of each cluster in each image of our database. The visual keyword-image matrix is similar to the term-document matrix in information retrieval. We use diffusion maps to reduce the dimensionality of visual keyword matrix. By reducing the dimensionality of the image representation, we can save computation cost significantly. We compare the performance between the proposed approach and the approach that uses the global MPEG-7 color descriptors. The results demonstrate the improvements.","PeriodicalId":287514,"journal":{"name":"International Workshop On Research Issues in Digital Libraries","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126065183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Digitizing, coding, annotating, disseminating, and preserving documents 数字化、编码、注释、传播和保存文件
International Workshop On Research Issues in Digital Libraries Pub Date : 2006-12-12 DOI: 10.1145/1364742.1364757
G. Nagy
{"title":"Digitizing, coding, annotating, disseminating, and preserving documents","authors":"G. Nagy","doi":"10.1145/1364742.1364757","DOIUrl":"https://doi.org/10.1145/1364742.1364757","url":null,"abstract":"We examine some research issues in pattern recognition and image processing that have been spurred by the needs of digital libraries. Broader -- and not only linguistic -- context must be introduced in character recognition on low-contrast, tightly-set documents because the conversion of documents to coded (searchable) form is lagging far behind conversion to image formats. At the same time, the prevalence of imaged documents over coded documents gives rise to interesting research problems in interactive annotation of document images. At the level of circulation, reformatting document images to accommodate diverse user needs remains a challenge.","PeriodicalId":287514,"journal":{"name":"International Workshop On Research Issues in Digital Libraries","volume":"11 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129480720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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