1. OAR@UM
  2. Faculty of 福利在线免费 and Communication Technology
  3. Department of Artificial Intelligence
  4. Scholarly Works - FacICTAI
Please use this identifier to cite or link to this item: /library/oar/handle/123456789/17102
Full metadata record
DC FieldValueLanguage
dc.date.accessioned2017-03-06T18:06:21Z
dc.date.available2017-03-06T18:06:21Z
dc.date.issued2004
dc.identifier.citationChapman, S., Dingli, A., & Ciravegna, F. (2004). Armadillo: harvesting information for the semantic web. 27th Annual International ACM SIGIR Conference on Research and Development in 福利在线免费 Retrieval, Sheffield. 598.en_GB
dc.identifier.isbn1581138814
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/17102
dc.description.abstractArmadillo is an automatic system for producing domain- specific Semantic Web oriented annotation on large repositories. It annotates by extracting information from different sources and integrating it into a knowledge base. Such base can then be used both to access the information directly (e.g. via a semantic web agent) and to annotate the pages where the information was identified. Armadillo is adaptive: it learns how to harvest information with minimal initial user intervention.en_GB
dc.language.isoenen_GB
dc.publisherThe ACM Digital Libraryen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectSemantic Weben_GB
dc.subject福利在线免费 retrieval -- Automationen_GB
dc.subjectRDF (Document markup language)en_GB
dc.subjectSemantic integration (Computer systems)en_GB
dc.titleArmadillo : harvesting information for the semantic weben_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename27th Annual International ACM SIGIR Conference on Research and Development in 福利在线免费 Retrievalen_GB
dc.bibliographicCitation.conferenceplaceSheffield, United Kingdom, 25-29/07/2004en_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorChapman, Sam
dc.contributor.creatorDingli, Alexiei
dc.contributor.creatorCiravegna, Fabio
Appears in Collections:Scholarly Works - FacICTAI

Files in This Item:
File Description SizeFormat 
OA Conference paper - Armadillo harvesting information for the semantic web..2.pdfArmadillo: harvesting information for the semantic web76.42 kBAdobe PDFView/Open
Show simple item record Statistics


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.