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dc.contributor.authorAlfred, R.en
dc.contributor.authorGan, K. S.en
dc.contributor.authorChin, K. O.en
dc.contributor.authorAnthony, Patriciaen
dc.date.accessioned2016-08-16T03:24:16Z
dc.date.issued2014-04en
dc.identifier.citationAlfred, R., Gan, K. S., Chin, K. O. & Anthony, P. (2014). A robust framework for web information extraction and retrieval. International Journal of Machine Learning and Computing, 4(2), 146-150. doi:https://doi.org/10.7763/IJMLC.2014.V4.403en
dc.identifier.urihttps://hdl.handle.net/10182/7235
dc.description.abstractThe large volume of online and offline information that is available today has overwhelmed users’ efficiency and effectiveness in processing this information in order to extract relevant information. The exponential growth of the volume of Internet information complicates information access. Thus, it is a very time consuming and complex task for user in accessing relevant information. Information retrieval (IR) is a branch of artificial intelligence that tackles the problem of accessing and retrieving relevant information. The aim of IR is to enable the available data source to be queried for relevant information efficiently and effectively. This paper describes a robust information retrieval framework that can be used to retrieve relevant information. The proposed information retrieval framework is designed to assist users in accessing relevant information effectively and efficiently as it handles queries based on user preferences. Each component and module involved in the proposed framework will be explained in terms of functionality and the processes involved.en
dc.format.extent146-150en
dc.languageEnglishen
dc.language.isoenen
dc.publisherIACSIT Pressen
dc.relationThe original publication is available from - IACSIT Press - https://doi.org/10.7763/IJMLC.2014.V4.403 - http://www.ijmlc.org/papers/403-LC037.pdfen
dc.relation.urihttp://www.ijmlc.org/papers/403-LC037.pdfen
dc.relation.urihttps://doi.org/10.7763/IJMLC.2014.V4.403en
dc.rightsCopyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.en
dc.subjectinformation retrievalen
dc.subjectinformation retrieval frameworken
dc.subjectsemantic weben
dc.titleA robust framework for web information extraction and retrievalen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Environment, Society and Designen
lu.contributor.unitSchool of Landscape Architectureen
dc.identifier.doi10.7763/IJMLC.2014.V4.403en
dc.subject.anzsrc0801 Artificial Intelligence and Image Processingen
dc.relation.isPartOfInternational Journal of Machine Learning and Computingen
pubs.issue2en
pubs.organisational-group/LU
pubs.organisational-group/LU/Faculty of Environment, Society and Design
pubs.organisational-group/LU/Faculty of Environment, Society and Design/SOLA
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusPublisheden
pubs.publisher-urlhttp://www.ijmlc.org/papers/403-LC037.pdfen
pubs.volume4en
dc.identifier.eissn2010-3700en
lu.identifier.orcid0000-0002-4991-3340


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