An Attribute-Value Pair (AVP) Model for Creating and Exploiting Annotations in Economic Intelligence.

Simple item page
dc.contributor.authorOkunoye, O.B
dc.date.accessioned2019-06-07T11:12:55Z
dc.date.available2019-06-07T11:12:55Z
dc.date.issued2014
dc.descriptionA Thesis Submitted to the School of Postgraduate Studies, University of Lagos.en_US
dc.description.abstractThis study is concerned with the design and development of an annotation model that gives users the power of expressivity as required in Economic Intelligence (EI) context. Most of the existing annotation platforms lack this power of expressivity. The study also discovered a need to develop an annotation model for creating and structuring annotations that will adequately capture the intention of the users (EI actors) in decision making process. In addition, there was a need for a technique that will allow actors to search for information based on the objective of the search. This study introduced an annotation model called Attribute-Value Pair (AVP) for creating and storing annotations. The study developed a mechanism for exploiting stored annotations based on the context of problem, and used the AVP model to develop a search algorithm that allowed actors to search for information based on the objective of the search. The study used Resource Description Framework (RDF) for the formalism of AVP annotation model. The exploitation phase was implemented using Explore, Query, Analyze and Annotate(EQuA2Te) architecture. A pattern-based algorithm called AVP search was developed that allowed actors to search for information based on the semantic of search objective. The study developed a prototype called Annotation Model and Tools for Economic Intelligence Actors (AMTEA) that used the AVP annotation model for creating, storing and exploiting annotations as well as performing search operations. Two search problems were used as scenarios to evaluate AMTEA system. Results obtained were compared with annotations made on the same set of documents by human agents. The performance evaluation shows that the new AMTEA system detected over 98% of manually made annotations by the human agents. In addition, AMTEA system was able to find new annotations that appear to be relevant. In essence, AMTEA assists human agents to discover new information that might be relevant in decision making process.en_US
dc.identifier.citationOkunoye, O.B (2014), An Attribute-Value Pair (AVP) Model for Creating and Exploiting Annotations in Economic Intelligence. A Thesis Submitted to University of Lagos School of Postgraduate Studies Phd Thesis and Dissertation, 122pp.en_US
dc.identifier.other890808043
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/4117
dc.language.isoenen_US
dc.subjectAttribute-Value Pairen_US
dc.subjectAnnotation modelen_US
dc.subjectEconomic Intelligenceen_US
dc.subjectResearch Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer scienceen_US
dc.titleAn Attribute-Value Pair (AVP) Model for Creating and Exploiting Annotations in Economic Intelligence.en_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
An Attribute-Value Pair (AVP) Model for Creating and Exploiting Annotations in Economic Intelligence.pdf
Size:
1.34 MB
Format:
Adobe Portable Document Format
Description:
Full text
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Faculty of Science