An Investigation into the Feasibility of the Semantic Web

This report is an expanded version of a paper in AAAI-2006 proceedings. In this report, we investigate the challenges that must be addressed for the Semantic Web to become a feasible enterprise. Specifically we focus on the query answering capability of the Semantic Web. We put forward that two key challenges we face are heterogeneity and scalability. We propose a flexible and decentralized framework for addressing the heterogeneity problem and demonstrate that sufficient reasoning is possible over a large dataset by taking advantage of database technologies and making some tradeoff decisions. As a proof of concept, we collect a significant portion of the available Semantic Web data; use our framework to resolve some heterogeneity and reason over the data as one big knowledge base. In addition to demonstrating the feasibility of a "real" Semantic Web, our experiments have provided us with some interesting insights into how it is evolving and the type of queries that can be a...

• Type: Conference
• Year: 2006
• Where: AAAI
• Authors: Zhengxiang Pan, Abir Qasem, Jeff Heflin
• Keywords: AAAI 2006, Available Semantic Web, Intelligent Agents, Query Answering Capability, Semantic Web