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DC Field | Value | Language |
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dc.contributor.author | Dingli, Alexiei | - |
dc.contributor.author | Ciravegna, Fabio | - |
dc.contributor.author | Guthrie, David | - |
dc.contributor.author | Wilks, Yorick | - |
dc.date.accessioned | 2017-03-04T19:45:44Z | - |
dc.date.available | 2017-03-04T19:45:44Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Dingli, A., Ciravegna, F., Guthrie, D., & Wilks, Y. (2003). Mining web sites using adaptive information extraction. 10th Conference on European Chapter of the Association for Computational Linguistics, Budapest. 75-78. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/16967 | - |
dc.description.abstract | Adaptive Information Extraction systems (IES) are currently used by some Semantic Web (SW) annotation tools as support to annotation (Handschuh et al., 2002; Vargas-Vera et al., 2002). They are generally based on fully supervised methodologies requiring fairly intense domain-specific annotation. Unfortunately, selecting representative examples may be difficult and annotations can be incorrect and require time. In this paper we present a methodology that drastically reduce (or even remove) the amount of manual annotation required when annotating consistent sets of pages. A very limited number of user-defined examples are used to bootstrap learning. Simple, high precision (and possibly high recall) IE patterns are induced using such examples, these patterns will then discover more examples which will in turn discover more patterns, etc. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Association for Computational Linguistics | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Semantic Web | en_GB |
dc.subject | Information retrieval -- Automation | en_GB |
dc.subject | Data mining | en_GB |
dc.subject | Self-adaptive software | en_GB |
dc.subject | Web sites | en_GB |
dc.title | Mining web sites using adaptive information extraction | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The 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.conferencename | 10th Conference on European Chapter of the Association for Computational Linguistics | en_GB |
dc.bibliographicCitation.conferenceplace | Budapest, Hungary, 12-17/04/2003 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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OA-Mining websites.pdf | Mining web sites using adaptive information extraction | 191.42 kB | Adobe PDF | View/Open |
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