Dong Zhou, M. Truran, T. Brailsford, H. Ashman, A. Pourabdollah
{"title":"Llama-b: automatic hyperlink authoring in the blogosphere","authors":"Dong Zhou, M. Truran, T. Brailsford, H. Ashman, A. Pourabdollah","doi":"10.1145/1379092.1379119","DOIUrl":null,"url":null,"abstract":"Viewed collectively, the sum of all blog entries recorded to date (usually referred to as the blogosphere) represents a prodigiously rich collection of commentary and opinion, a dizzying mixture of fact and speculation, subjective opinion and objective data. This paper introduces a hypermedia authoring tool intended to simplify the process of navigating this chaotic environment. The tool works by adding additional hyperlinks to blogs, links which connect blog entries addressing similar topics. These hyperlinks are generated by an algorithm that uses statistical language modeling and graph based analysis to exploit the implicit associative structure of the blogosphere. An evaluative exercise, centred upon the unsupervised labeling of blog articles, confirms the effectiveness of this approach.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1379092.1379119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Viewed collectively, the sum of all blog entries recorded to date (usually referred to as the blogosphere) represents a prodigiously rich collection of commentary and opinion, a dizzying mixture of fact and speculation, subjective opinion and objective data. This paper introduces a hypermedia authoring tool intended to simplify the process of navigating this chaotic environment. The tool works by adding additional hyperlinks to blogs, links which connect blog entries addressing similar topics. These hyperlinks are generated by an algorithm that uses statistical language modeling and graph based analysis to exploit the implicit associative structure of the blogosphere. An evaluative exercise, centred upon the unsupervised labeling of blog articles, confirms the effectiveness of this approach.