A policy-based B2C e-Contract management workflow methodology using semantic web agents

Artificial Intelligence and Law 24 (2):93-131 (2016)
  Copy   BIBTEX

Abstract

Since e-Commerce has become a discipline, e-Contracts are acknowledged as the tools that will assure the safety and robustness of the transactions. A typical e-Contract is a binding agreement between parties that creates relations and obligations. It consists of clauses that address specific tasks of the overall procedure which can be represented as workflows. Similarly to e-Contracts, Intelligent Agents manage a private policy, a set of rules representing requirements, obligations and restrictions, additionally to personal data that meet their user’s interests. In this context, this study aims at proposing a policy-based e-Contract workflow management methodology that can be used by semantic web agents, since agents benefit from Semantic Web technologies for data and policy exchanges, such as RDF and RuleML that maximize interoperability among parties. Furthermore, this study presents the integration of the above methodology into a multi-agent knowledge-based framework in order to deal with issues related to rules exchange where no common syntax is used, since this framework provides reasoning services that assist agents in interpreting the exchanged policies. Finally, a B2C e-Commerce scenario is presented that demonstrates the added value of the approach.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,219

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Applying Statistical Methods in Knowledge Management of a Multiagent System.Ondřej Kohut & Michal Košinár - 2010 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 17 (2):201-216.
Agile: a problem-based model of regulatory policy making.Alexander Boer & Tom van Engers - 2013 - Artificial Intelligence and Law 21 (4):399-423.

Analytics

Added to PP
2016-05-15

Downloads
8 (#1,249,165)

6 months
4 (#698,851)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

How to reason defeasibly.John L. Pollock - 1992 - Artificial Intelligence 57 (1):1-42.
Defeasible reasoning.Robert C. Koons - 2008 - Stanford Encyclopedia of Philosophy.

Add more references