Task-based support in search engines

Abstract

Darío Garigliotti is a postdoctoral researcher at Aalborg University, Denmark, where he works in collaboration with Prof. Katja Hose and Assoc. Prof. Johannes Bjerva, in the areas of information extraction, information retrieval and natural language processing. He completed his doctoral degree in Computer Science at University of Stavanger, Norway, under the supervision of Prof. Krisztian Balog. The website at https://dariogarigliotti.github.io/ contains more information about Garigliotti's work. The research conducted by Garigliotti focused on utilizing and extending methods and techniques from semantic search within an information access paradigm that aims to support users in achieving their tasks. More specifically, to enhance search engines with functionalities for recognizing the underlying tasks in searches and providing support for task completion. The work presented in this thesis is organized in three grand themes: entity type information for entity retrieval, entity-oriented search intents, and task-based search. Alongside the theoretical and empirical contributions, a number of resource contributions were developed, including several corpora and test collections, and a knowledge base of entity-oriented search intents.