Abstract
Fluent, effortless, and diverse e-business transactions depend on the ability of automated agents to interact. The difficulties of tailoring representation and information to be consistent and therefore interoperable needs to fall not on human users but on these automated agents. In this chapter, the authors present their system, ORS (ontology repair system), which is designed to be a tool for automated agents, acting on behalf of people or systems which need to interact, to enable them to understand one another, despite the fact that they are not centrally or consistently designed.
Original language | English |
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Title of host publication | Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship |
Publisher | IGI Global |
Pages | 143-154 |
Number of pages | 12 |
ISBN (Electronic) | 9781522577676 |
ISBN (Print) | 9781522577669 |
DOIs | |
Publication status | Published - Nov 2018 |
Keywords
- matching
- agent interaction
- repair
- diagnosis
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science (miscellaneous)