OWL-QL - A Language for Deductive Query Answering on the Semantic Web
I. Fikes. KSL-03-14. Knowledge Systems Laboratory, Computer Science Department, Stanford University, (2003)
Abstract
This paper discusses the issues involved in designing a query language for the Semantic Web and presents the OWL Query Language (OWL-QL) as a candidate standard language and protocol for query-answering dialogues among Semantic Web computational agents using knowledge represented in the W3C's Ontology Web Language (OWL). OWL-QL is a formal language and precisely specifies the semantic relationships among a query, a query answer, and the knowledge base(s) used to produce the answer. Unlike standard database and Web query languages, OWL-QL supports query-answering dialogues in which the answering agent may use automated reasoning methods to derive answers to queries, as well as dialogues in which the knowledge to be used in answering a query may be in multiple knowledge bases on the Semantic Web, and/or where those knowledge bases are not specified by the querying agent. In this setting, the set of answers to a query may be of unpredictable size and may require an unpredictable amount of time to compute.
Description
Owl-ql - a language for deductive query answering on the semantic web - Semantic Portal Wiki
%0 Report
%1 owl-ql
%A Fikes, Ian R. Horrocks Richard
%D 2003
%K SemanticWeb
%N KSL-03-14
%T OWL-QL - A Language for Deductive Query Answering on the Semantic Web
%U ftp://ftp.cs.pitt.edu/chang/revs/c916.pdf
%X This paper discusses the issues involved in designing a query language for the Semantic Web and presents the OWL Query Language (OWL-QL) as a candidate standard language and protocol for query-answering dialogues among Semantic Web computational agents using knowledge represented in the W3C's Ontology Web Language (OWL). OWL-QL is a formal language and precisely specifies the semantic relationships among a query, a query answer, and the knowledge base(s) used to produce the answer. Unlike standard database and Web query languages, OWL-QL supports query-answering dialogues in which the answering agent may use automated reasoning methods to derive answers to queries, as well as dialogues in which the knowledge to be used in answering a query may be in multiple knowledge bases on the Semantic Web, and/or where those knowledge bases are not specified by the querying agent. In this setting, the set of answers to a query may be of unpredictable size and may require an unpredictable amount of time to compute.
@techreport{owl-ql,
abstract = {This paper discusses the issues involved in designing a query language for the Semantic Web and presents the OWL Query Language (OWL-QL) as a candidate standard language and protocol for query-answering dialogues among Semantic Web computational agents using knowledge represented in the W3C's Ontology Web Language (OWL). OWL-QL is a formal language and precisely specifies the semantic relationships among a query, a query answer, and the knowledge base(s) used to produce the answer. Unlike standard database and Web query languages, OWL-QL supports query-answering dialogues in which the answering agent may use automated reasoning methods to derive answers to queries, as well as dialogues in which the knowledge to be used in answering a query may be in multiple knowledge bases on the Semantic Web, and/or where those knowledge bases are not specified by the querying agent. In this setting, the set of answers to a query may be of unpredictable size and may require an unpredictable amount of time to compute.},
added-at = {2009-06-16T20:02:25.000+0200},
author = {Fikes, Ian R. Horrocks Richard},
biburl = {https://www.bibsonomy.org/bibtex/2f8a91702ebbe96f5d3d36276973e05ed/m.vavalis},
description = {Owl-ql - a language for deductive query answering on the semantic web - Semantic Portal Wiki},
institution = {Knowledge Systems Laboratory, Computer Science Department, Stanford University},
interhash = {895c827b498d61ae1fe81058233f33b5},
intrahash = {f8a91702ebbe96f5d3d36276973e05ed},
keywords = {SemanticWeb},
number = {KSL-03-14},
timestamp = {2009-06-16T20:02:25.000+0200},
title = {OWL-QL - A Language for Deductive Query Answering on the Semantic Web},
url = {ftp://ftp.cs.pitt.edu/chang/revs/c916.pdf},
year = 2003
}