Annual Review of Information Science and Technology最新文献

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Online social movements 网络社会运动
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450117
Noriko Hara, Bi-Yun Huang
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引用次数: 37
Some economic aspects of the scholarly journal system 学术期刊系统的一些经济方面
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450114
Donald W. King, Carol Tenopir
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引用次数: 14
Personal information management: From information consumption to curation 个人信息管理:从信息消费到信息管理
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450108
Steve Whittaker
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引用次数: 140
Interactive query formulation 交互式查询公式
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450111
Nina Wacholder
{"title":"Interactive query formulation","authors":"Nina Wacholder","doi":"10.1002/aris.2011.1440450111","DOIUrl":"10.1002/aris.2011.1440450111","url":null,"abstract":"Query formulation (QF) is the stage of the interactive information access process in which an information seeker translates an information need into a query and submits the query to an information access system such as a search engine (e.g., Google) or a library database (e.g., Factiva or PubMed). The system performs some computation to match the query with the documents most likely to be relevant to the query and returns a ranked list of relevant documents to the information seeker. QF is a key component of the information access process (Bates, 1986; Belkin, Cool, Croft, & Callan, 1993; Blair & Maron, 1985; Hall, Negus, & Dancy, 1972; Kuhlthau, 1991; Marchionini, 1995; Oddy, 1977). It is also very hard (Beghtol, 1986; Belkin, Oddy, & Brooks, 1991, 1982; Swanson, 1960; Taylor, 1968; ter Hofstede, Proper, & van der Weide, 1996). The difficulty of QF is an impediment to development of optimally effective systems—if only users would formulate better queries, information retrieval systems could do a much better job of returning relevant documents. In addition to being difficult to perform, QF is difficult to study. There are at least three reasons. First, the QF process takes place inside the human mind. The user’s mental representation of the information need and the process of translating that need into a query are not visible to outside observers. Selfreporting, although useful for studying some aspects of information seeking, is of limited use for studying mental representations and cognitive processes that take place below the level of consciousness (Wilson, 1994). Therefore the QF process must be studied indirectly, by analysis of queries or by other externally observable behaviors. Second, the impact of user characteristics on QF is hard to isolate. It is very difficult to assess the effectiveness of the product of QF—the queries—outside of the context of particular users. For example, in her review of literature on the impact of domain expertise, Wildemuth (2004) concludes that it is possible to generalize about the impact of domain expertise on the vocabulary used in the queries but not about the impact of domain expertise on effectiveness of results. Designing CHAPTER 4","PeriodicalId":55509,"journal":{"name":"Annual Review of Information Science and Technology","volume":"45 1","pages":"157-196"},"PeriodicalIF":0.0,"publicationDate":"2013-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/aris.2011.1440450111","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125093844","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: 31
Acknowledgments 致谢
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450102
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引用次数: 0
Text mining 文本挖掘
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450110
Catherine Blake
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引用次数: 54
Human-computer interaction 人机交互
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450115
Jonathan Grudin
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引用次数: 18
Data sharing in the sciences 科学领域的数据共享
Annual Review of Information Science and Technology Pub Date : 2013-01-02 DOI: 10.1002/aris.2011.1440450113
Stacy Kowalczyk, Kalpana Shankar
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引用次数: 72
Sports knowledge management and data mining 体育知识管理与数据挖掘
Annual Review of Information Science and Technology Pub Date : 2012-01-18 DOI: 10.1002/aris.2010.1440440110
Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
{"title":"Sports knowledge management and data mining","authors":"Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen","doi":"10.1002/aris.2010.1440440110","DOIUrl":"10.1002/aris.2010.1440440110","url":null,"abstract":"Introduction Vast amounts of sports data are routinely collected about players, coaching decisions and game events. Making sense of this data is important to those seeking an edge. By transforming this data into actionable knowledge, scouts, managers and coaches can have a better idea of what to expect from opponents and be able to use a player draft more effectively. With millions of dollars riding on the many decisions made within a sports franchise (Lewis, 2003), the sports environment is ideal for data mining and knowledge management approaches. While the application these approaches to the sports environment may be unique and the focus of this chapter, the topics of data mining and knowledge management should certainly be well known to the reader and form the basis of the approaches we discuss.","PeriodicalId":55509,"journal":{"name":"Annual Review of Information Science and Technology","volume":"44 1","pages":"115-157"},"PeriodicalIF":0.0,"publicationDate":"2012-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/aris.2010.1440440110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124074617","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: 26
ARIST Advisory Board 艺术家顾问委员会
Annual Review of Information Science and Technology Pub Date : 2012-01-18 DOI: 10.1002/aris.2010.1440440103
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引用次数: 0
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