{"title":"Combining document retrieval with knowledge graphs for exploratory search","authors":"Bahareh Sarrafzadeh, Olga Vechtomova","doi":"10.1145/2637002.2637060","DOIUrl":null,"url":null,"abstract":"With the massive increase in information availability, it gets more and more difficult to make sense of the available information. The Web has provided the opportunity to browse and navigate through the extensive information space by utilizing the modern search engines. This in turn has led to increasing expectations to use the Web as a source for learning and exploratory discovery. Although current Information Retrieval (IR) methods satisfy simple and straight-forward needs, they do not offer enough support for the users with complex search tasks which involve learning and investigation activities. In my PhD research I aim to support different aspects of information seeking that are observed in exploratory activities. I propose a new framework based on combining knowledge graphs with document retrieval in order to effectively improve search breadth and quality.","PeriodicalId":447867,"journal":{"name":"Proceedings of the 5th Information Interaction in Context Symposium","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th Information Interaction in Context Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2637002.2637060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the massive increase in information availability, it gets more and more difficult to make sense of the available information. The Web has provided the opportunity to browse and navigate through the extensive information space by utilizing the modern search engines. This in turn has led to increasing expectations to use the Web as a source for learning and exploratory discovery. Although current Information Retrieval (IR) methods satisfy simple and straight-forward needs, they do not offer enough support for the users with complex search tasks which involve learning and investigation activities. In my PhD research I aim to support different aspects of information seeking that are observed in exploratory activities. I propose a new framework based on combining knowledge graphs with document retrieval in order to effectively improve search breadth and quality.