The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Using Multi-Document Summarization to Facilitate Semi-Structured Literature Retrieval: A Case Study in Consumer Healthcare
Abstract
This chapter examines the techniques behind a user interface that computes a multi-document summary of documents retrieved by a search. As a user’s query can retrieve thousands of relevant documents, it is paramount that they be logically organized. In digital libraries, documents are traditionally represented as a ranked list of documents ordered by computed relevance and do not take into account presentation techniques used by information professionals (such as librarians) in the physical library. This chapter examines a framework used in a consumer healthcare digital library that incorporates techniques used by librarians. It brings together commonalities between documents and highlights their salient differences to target the needs of users using the browsing and searching modes of information seeking. It achieves this by discovering common and unique topics among its input from a combination of structural and lexical cues.
Related Content
|
Wilson Chukwunedum Ochonogor, Stephen M. Mutula.
© 2020.
24 pages.
|
|
Rhodes Elias Mwageni.
© 2020.
20 pages.
|
|
Joel O. Afolayan, Roseline O. Ogundokun, Abiola G. Afolabi, Adekanmi A. Adegun.
© 2020.
25 pages.
|
|
Adeyinka Tella, Femi Quardri, Sunday Segun Bamidele, Olubukola Oluyemisi Ajiboye.
© 2020.
23 pages.
|
|
Roseline O. Ogundokun, Joel O. Afolayan, Adekanmi A. Adegun, Abiola G. Afolabi.
© 2020.
20 pages.
|
|
M. T. Bashorun, K. T. Omopupa, Garba Dahiru.
© 2020.
22 pages.
|
|
Olaronke O. Fagbola, Ambrose E. Smart, Babarotimi Opeyemi Oluwaseun.
© 2020.
25 pages.
|
|
|