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Exploiting different bioinformatics resources for enhancing content recommendations

Almuhaimeed, A and Fasli, M (2014) Exploiting different bioinformatics resources for enhancing content recommendations. In: UNSPECIFIED, ? - ?.

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Abstract

© Springer International Publishing Switzerland 2014. To assist the user in his/her quest for information it may be possible to draw and combine information from multiple resources in order to provide more accurate answers/recommendations. Resources can be structured (such as ontologies and taxonomies) or unstructured (corpora). The purpose of this work is to explore how better recommendations can be provided to users by mining and exploiting semantic relations, hidden associations, and overlapping information between various concepts in multiple bioinformatics resources such as ontologies, websites, and corpora. The work also utilizes users’ interests to enhance the provided recommendations. A number of techniques will be explored and developed, including ontology mapping, reasoning with multiple resources, and constructing adaptive user profiles.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 16 Jul 2015 11:50
Last Modified: 17 Aug 2017 17:35
URI: http://repository.essex.ac.uk/id/eprint/14358

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