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Exploiting Different Bioinformatics Resources for Enhancing Content Recommendations

Almuhaimeed, Abdullah and Fasli, Maria (2014) Exploiting Different Bioinformatics Resources for Enhancing Content Recommendations. In: UNSPECIFIED, ? - ?.

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Abstract

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)
Uncontrolled Keywords: Semantic Techniques; Recommendations & Bioinformatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 16 Jul 2015 11:50
Last Modified: 15 Jan 2022 00:25
URI: http://repository.essex.ac.uk/id/eprint/14358

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