Calgary Herald Newspaper Archive

2020 ◽  
Vol 22 (2) ◽  
pp. 18-20
Author(s):  
Jane C. Duffy

The Calgary Herald Archive is a primary resource that makes accessible the full text of this newspaper from its founding in 1883 through to 2010. Freely accessible to residents of the province of Alberta, the CHA is their oldest available news resource. The CHA was produced in collaboration with several Albertan public and academic libraries. These institutions digitized the full text content for ProQuest’s Historical Newspapers. Capturing unique historical, political, social, and regional information about Alberta’s largest city, the CHA is a highly specialized resource for Western Canadian researchers.

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242353
Author(s):  
Christophe Malaterre ◽  
Jean-François Chartier ◽  
Francis Lareau

Scientific articles have semantic contents that are usually quite specific to their disciplinary origins. To characterize such semantic contents, topic-modeling algorithms make it possible to identify topics that run throughout corpora. However, they remain limited when it comes to investigating the extent to which topics are jointly used together in specific documents and form particular associative patterns. Here, we propose to characterize such patterns through the identification of “topic associative rules” that describe how topics are associated within given sets of documents. As a case study, we use a corpus from a subfield of the humanities—the philosophy of science—consisting of the complete full-text content of one of its main journals: Philosophy of Science. On the basis of a pre-existing topic modeling, we develop a methodology with which we infer a set of 96 topic associative rules that characterize specific types of articles depending on how these articles combine topics in peculiar patterns. Such rules offer a finer-grained window onto the semantic content of the corpus and can be interpreted as “topical recipes” for distinct types of philosophy of science articles. Examining rule networks and rule predictive success for different article types, we find a positive correlation between topological features of rule networks (connectivity) and the reliability of rule predictions (as summarized by the F-measure). Topic associative rules thereby not only contribute to characterizing the semantic contents of corpora at a finer granularity than topic modeling, but may also help to classify documents or identify document types, for instance to improve natural language generation processes.


Author(s):  
Sudhanshu Joshi

The chapter provides a snapshot on the use of social networking in academic libraries through a systematic review of the available literature and an examination of the libraries’ presence on the most popular social networking sites. The chapter initially reviews 819 articles of empirical research, viewpoints, and case studies, based on keyword(s) search “Web 2.0 + Academic Libraries” since 2006 found in the Library Literature and Information Full Text Database. Out of full text research papers, articles with empirical studies, 328 (40% of 819), are shortlisted; all articles are from journals having impact factors (as per ISI Thomson Reuters rating 2011-12), 0.8 and above. The articles are collected from four major management and library science publishers: Ebscohost, Science Direct, Taylor and Francis, Emerald Insight (including EarlyCite articles, Backfiles content). The potential limitation of the study is that it does not attempt to trace out trends using any regression techniques. The extension of this study could be statistically testing the figures observed in this chapter and laying down a grounded theory approach for future research in Web 2.0 applications in libraries. The important finding is that the popularity of the various social networking sites can change quickly on the basis of e-World of Month (e-WoM).


2002 ◽  
Vol 63 (3) ◽  
pp. 228-238
Author(s):  
Jill E. Grogg ◽  
Debra K. Andreadis ◽  
Rachel A. Kirk

This article presents a comparison of access to full-text articles from a free bibliographic database (PubSCIENCE) for affiliated and unaffiliated users. The authors found that affiliated users had access to more full-text articles than unaffiliated users had, but the maximum level of full-text access achieved directly through PubSCIENCE was 45 percent. Both affiliated and unaffiliated users could increase their level of access to full-text content by using alternative avenues for access above and beyond use of the database linkage. However, such additional searching requires a higher level of information literacy on the user s part.


2020 ◽  
Vol 21 (3) ◽  
pp. 7-10
Author(s):  
Erica Swenson Danowitz

American Historical Periodicals is a one-time purchase database that provides digitized full-text content from a wide-range of American periodicals published between the seventeenth and twentieth centuries. The original documents found in this resource are located in the American Antiquarian Society’s collection. It contains 7,049 total publications and 9,140,663 full-text documents in a variety of disciplines. This resource offers online access to both rare and more popular titles that in the past would have required a visit to a physical archive to view. The documents found in this database offer a glimpse of a bygone time that users can peruse online at their convenience. The comprehensive content will support the research needs of faculty, genealogists, undergraduate and graduate students.


2014 ◽  
pp. 992-1015
Author(s):  
Sudhanshu Joshi

The chapter provides a snapshot on the use of social networking in academic libraries through a systematic review of the available literature and an examination of the libraries' presence on the most popular social networking sites. The chapter initially reviews 819 articles of empirical research, viewpoints, and case studies, based on keyword(s) search “Web 2.0 + Academic Libraries” since 2006 found in the Library Literature and Information Full Text Database. Out of full text research papers, articles with empirical studies, 328 (40% of 819), are shortlisted; all articles are from journals having impact factors (as per ISI Thomson Reuters rating 2011-12), 0.8 and above. The articles are collected from four major management and library science publishers: Ebscohost, Science Direct, Taylor and Francis, Emerald Insight (including EarlyCite articles, Backfiles content). The potential limitation of the study is that it does not attempt to trace out trends using any regression techniques. The extension of this study could be statistically testing the figures observed in this chapter and laying down a grounded theory approach for future research in Web 2.0 applications in libraries. The important finding is that the popularity of the various social networking sites can change quickly on the basis of e-World of Month (e-WoM).


Author(s):  
Xiao Long ◽  
Boyue Yao

The Academic Digital Library of Chinese Ancient Collections (ADLCAC) is a cooperative project which originated at Peking University Library of Ancient Collection in 2000. The project is one of the largest databases of ancient Chinese materials among global academic institutions which was created to connect large-scale academic libraries with ancient collections, and to expand the number of ancient materials and full-text image databases held by China's universities. This section introduces its development history, member libraries, resources, service mechanism, characteristics, and future development.


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