Using a Case Based Organizational Memory for Recommendation Systems
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 12
Abstract
With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper we present a summary of an case-based organizational memory ontology, which aims at contributing to the design of an organizational memory based on cases, so that it can be used to learn, reasoning, solve problems, and as support to better decision making as well. In order to illustrate its utility a practical case using the weather radar (WR) data of the Experimental Agricultural Station (EAS) INTA (La Pampa State, Argentina) is shown. Also related work and concluding remarks are outlined.
Authors and Affiliations
Martínez Natalí, Martín María de los Ángeles
Keywords
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- EP ID EP431472
- DOI 10.9790/9622-0812017178.
- Views 155
- Downloads 0
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