A Knowledge Acquisition Model Using Multi-Agents For Kaas
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Abstract
These days customer satisfaction plays vital role in<br> any business. When customer searches for a product, significantly a<br> junk of irrelevant information is what is given, leading to customer<br> dissatisfaction. To provide exactly relevant information on the<br> searched product, we are proposing a model of KaaS (Knowledge as<br> a Service), which pre-processes the information using decision<br> making paradigm using Multi-agents.<br> Information obtained from various sources is taken to derive<br> knowledge and they are linked to Cloud to capture new idea. The<br> main focus of this work is to acquire relevant information<br> (knowledge) related to product, then convert this knowledge into a<br> service for customer satisfaction and deploy on cloud.<br> For achieving these objectives we are have opted to use multi<br> agents. They are communicating and interacting with each other,<br> manipulate information, provide knowledge, to take decisions. The<br> paper discusses about KaaS as an intelligent approach for Knowledge<br> acquisition.
Publication details
- DOI
- 10.5281/zenodo.1100496
- OpenAlex
- W2138972848
- Document type
- article
- Language
- EN
- Source
- Zenodo (CERN European Organization for Nuclear Research)
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