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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Okunoye, O.B. David, A. Uwadia, C. |
| Copyright Year | 2010 |
| Description | Author affiliation: Equipe SITE-LORIA, Nancy 2 Université, Campus Scientifique - BP 239 54506 Vandoeuvre lès Nancy Cedex, France (Okunoye, O.B.; David, A.) || University of Lagos, Akoka, Nigeria (Uwadia, C.) |
| Abstract | This paper presents annotation specification as attribute-value pair for representing and capturing strategic information for solving decision problems in the context of Economic Intelligence (also referred to as competitive intelligence). The aim of using this approach is to facilitate information reuse for similar problems. While most of available annotation tools allow annotator to add annotation to document of interest as atomic object, it is believed that annotation represented as an attribute-value pair will offer enhanced interpretation functionalities. Annotation specification integrating the identified needs of the annotator as well as partial implementation of our prototype called AMTEA (Annotation Model and Tools for Economic Actors) is presented. The system is designed for annotation creation and exploitation taking into consideration annotations made, decision problem being solved, and user's profile. |
| Starting Page | 249 |
| Ending Page | 252 |
| File Size | 406245 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424480975 |
| e-ISBN | 9781424480999 |
| DOI | 10.1109/IRI.2010.5558933 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economics Databases Biological system modeling Delta modulation Context Data mining Collaboration Annotation model Annotation Attribute-value pair user profile Annotator Economic Intelligence Competitive Intelligence Economic actors |
| Content Type | Text |
| Resource Type | Article |
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