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 answered.
%0 Journal Article
%1 citeulike:798224
%A Pan, Zhengxiang
%A Qasem, Abir
%A Heflin, Jeff
%B Proceedings of the Twenty-First National Conference on Artificial Intelligence
%D 2006
%K semweb
%T An Investigation into the Feasibility of the Semantic Web
%X 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 answered.
@article{citeulike:798224,
abstract = {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 answered.},
added-at = {2007-04-06T10:50:16.000+0200},
author = {Pan, Zhengxiang and Qasem, Abir and Heflin, Jeff},
biburl = {https://www.bibsonomy.org/bibtex/2cc1ae25c20129ddf8302ae3cabd67089/mhermans},
booktitle = {Proceedings of the Twenty-First National Conference on Artificial Intelligence},
citeulike-article-id = {798224},
interhash = {cf9c2ca996a04a6a6ad191483f7f6c1c},
intrahash = {cc1ae25c20129ddf8302ae3cabd67089},
keywords = {semweb},
month = {July},
priority = {0},
timestamp = {2007-04-06T10:50:16.000+0200},
title = {An Investigation into the Feasibility of the Semantic Web},
year = 2006
}