CYAIJan 5, 2014

LB2CO: A Semantic Ontology Framework for B2C eCommerce Transaction on the Internet

arXiv:1401.0943v1
Originality Synthesis-oriented
AI Analysis

This addresses inefficiencies in electronic transactions for eCommerce systems, though it appears incremental as it builds on existing ontology methods.

The paper tackles poor semantic integration in B2C eCommerce transactions by proposing the LB2CO ontology framework, which combines IDEF5 and SNAP to enable automated product recommendations and improve interoperability across business domains.

Business ontology can enhance the successful development of complex enterprise system; this is being achieved through knowledge sharing and the ease of communication between every entity in the domain. Through human semantic interaction with the web resources, machines to interpret the data published in a machine interpretable form under web. However, the theoretical practice of business ontology in eCommerce domain is quite a few especially in the section of electronic transaction, and the various techniques used to obtain efficient communication across spheres are error prone and are not always guaranteed to be efficient in obtaining desired result due to poor semantic integration between entities. To overcome the poor semantic integration this research focuses on proposed ontology called LB2CO, which combines the framework of IDEF5 & SNAP as an analysis tool, for automated recommendation of product and services and create effective ontological framework for B2C transaction & communication across different business domains that facilitates the interoperability & integration of B2C transactions over the web.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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