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dc.contributor.authorDong, Hai
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorChang, Elizabeth
dc.contributor.editorOsvaldo Gervasi
dc.contributor.editorDavid Taniar
dc.contributor.editorBeniamino Murgante
dc.contributor.editorAntonio Lagana
dc.contributor.editorYoungson Mun
dc.contributor.editorMarina Gavrilova
dc.date.accessioned2017-01-30T15:38:39Z
dc.date.available2017-01-30T15:38:39Z
dc.date.created2010-03-02T20:02:02Z
dc.date.issued2009
dc.identifier.citationDong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2009. State of the art in semantic focused crawlers, in Osvaldo Gervasi, David Taniar, Beniamino Murgante, Antonio Lagana, Youngson Mun and Marina Gavrilova (ed), Lecture notes in computer science. pp. 910-924. Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/48288
dc.identifier.doi10.1007/978-3-642-02457-3_74
dc.description.abstract

Nowadays, the research of focused crawler approaches the field of semantic web, along with the appearance of increasing semantic web documents and the rapid development of ontology mark-up languages. Semantic focused crawlers are a series of focused crawlers enhanced by various semantic web technologies. In this paper, we make a survey in this research field. We discover eleven semantic focused crawlers from the existing literature, and classify them into three categories - ontology-based focused crawlers, metadata abstraction focused crawlers and other semantic focused crawlers. By means of a multi-dimensional comparison, we conclude the features of these crawlers and draw the overall state of the art of this field.

dc.publisherSpringer
dc.subjectfocused crawlers
dc.subjectsemantic focused crawlers
dc.subjectontology-based focused crawlers
dc.subjectmetadata abstraction focused crawlers
dc.subjectsemantic web
dc.titleState of the art in semantic focused crawlers
dc.typeBook Chapter
dcterms.source.startPage910
dcterms.source.endPage924
dcterms.source.titleLecture notes in computer science
dcterms.source.isbn9783642024566
dcterms.source.placeHeidelberg
dcterms.source.chapter76
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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