This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
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Spring 2016
While the World Wide Web has always been treated as an immense source of data, most information it provides is usually deemed unstructured and sometimes ambiguous, which in turn makes it unreliable. But the web also contains a relatively large number of structured data in the form of tables,...
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Spring 2020
The web contains a large volume of tables that provide structured information about entities and relationships. This data may be used as a source for exploratory searches and to gather information about desired entities. This thesis focuses on one particular exploratory search where given a query...
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Spring 2016
Set expansion aims at expanding a given query seed set into a larger and more complete set by adding elements that are likely to belong to the same grouping as the elements of the query set. This thesis studies the problem of efficient set expansion; in particular, given a collection of data...