research-article

Comparison of ontology reasoning systems using custom rules

Authors:

Mohammad ZubairAuthors Info & Claims

WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics

Article No.: 16, Pages 1 - 9

https://doi.org/10.1145/1988688.1988708

Published: 25 May 2011 Publication History

Abstract

In the semantic web, content is tagged with "meaning" or "semantics" that allows for machine processing when implementing systems that search the web. General question/answer systems that are built on top of reasoning and inference face a number of difficult issues. In this paper we analyze scalability issues in the context of a question/answer system (called ScienceWeb) in the domain of a knowledge base of science information that has been harvested from the web. In ScienceWeb we will be able to answer questions that contain qualitative descriptors such as "groundbreaking", "top researcher", and "tenurable at university x". ScienceWeb is being built using ontologies, reasoning systems and custom based rules for the reasoning system. In this paper we address the scalability issue for a variety of supporting systems for ontologies and reasoning. In particular, we study the impact of using custom inference rules that are needed when processing queries in ScienceWeb.

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Cited By

Shi HChong DYan G(2018)Evaluating an optimized backward chaining ontology reasoning system with innovative custom rulesInformation Discovery and Delivery10.1108/IDD-10-2017-007046:1(45-56)Online publication date: 19-Feb-2018
https://doi.org/10.1108/IDD-10-2017-0070
Cheatham MPesquita C(2017)Semantic Data IntegrationHandbook of Big Data Technologies10.1007/978-3-319-49340-4_8(263-305)Online publication date: 26-Feb-2017
https://doi.org/10.1007/978-3-319-49340-4_8
Shi HMaly KChong DYan GHe WBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Backward Chaining Ontology Reasoning Systems with Custom RulesProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2890521(381-387)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2890521
Show More Cited By

Index Terms

Comparison of ontology reasoning systems using custom rules
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Metrics

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cover image ACM Other conferences

WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics

May 2011

563 pages

ISBN:9781450301480

DOI:10.1145/1988688

Program Chair:
Rajendra Akerkar
Western Norway Research Institute, Norway

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 May 2011

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WIMS '11

WIMS '11: International Conference on Web Intelligence, Mining

May 25 - 27, 2011

Sogndal, Norway

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Cited By

Shi HChong DYan G(2018)Evaluating an optimized backward chaining ontology reasoning system with innovative custom rulesInformation Discovery and Delivery10.1108/IDD-10-2017-007046:1(45-56)Online publication date: 19-Feb-2018
https://doi.org/10.1108/IDD-10-2017-0070
Cheatham MPesquita C(2017)Semantic Data IntegrationHandbook of Big Data Technologies10.1007/978-3-319-49340-4_8(263-305)Online publication date: 26-Feb-2017
https://doi.org/10.1007/978-3-319-49340-4_8
Shi HMaly KChong DYan GHe WBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Backward Chaining Ontology Reasoning Systems with Custom RulesProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2890521(381-387)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2890521
Shi HChong DYan GHe W(2015)A semantic query-based approach for management decision-makingJournal of Management Analytics10.1080/23270012.2014.10031512:1(53-71)Online publication date: 13-Feb-2015
https://doi.org/10.1080/23270012.2014.1003151
Shi HMaly KZeil SChung CBroder AShim KSuel T(2014)Trust and hybrid reasoning for ontological knowledge basesProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2579033(1189-1194)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2567948.2579033
Leida MMajeed BColombo MChu A(2013)A Lightweight RDF Data Model for Business Process AnalysisData-Driven Process Discovery and Analysis10.1007/978-3-642-40919-6_1(1-23)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40919-6_1
Leida MChu AColombo MMajeed B(2012)Extendible data model for real-time business process analysis2012 IEEE International Conference on Industrial Engineering and Engineering Management10.1109/IEEM.2012.6838015(1593-1597)Online publication date: Dec-2012
https://doi.org/10.1109/IEEM.2012.6838015
Yaseen AMaly KZeil SZubair M(2011)Performance Evaluation of Oracle Semantic Technologies with Respect to User Defined RulesProceedings of the 2011 22nd International Workshop on Database and Expert Systems Applications10.1109/DEXA.2011.65(252-256)Online publication date: 29-Aug-2011
https://dl.acm.org/doi/10.1109/DEXA.2011.65

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