Identifying and classifying uncertainty layers in web document quality assessment

Davide Ceolin; Lora Aroyo; Julia Noordegraaf

Identifying and classifying uncertainty layers in web document quality assessment

Davide Ceolin
, Lora Aroyo
, Julia Noordegraaf

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Assessing the quality of Web documents is crucial, but challenging. In this paper, we outline the different uncertainty bottlenecks that such task implies, and we propose a strategy to tackle them.

Original language	English
Pages (from-to)	61-64
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	1665
Publication status	Published - 2016

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title = "Identifying and classifying uncertainty layers in web document quality assessment",

abstract = "Assessing the quality of Web documents is crucial, but challenging. In this paper, we outline the different uncertainty bottlenecks that such task implies, and we propose a strategy to tackle them.",

author = "Davide Ceolin and Lora Aroyo and Julia Noordegraaf",

year = "2016",

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volume = "1665",

pages = "61--64",

journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - Identifying and classifying uncertainty layers in web document quality assessment

AU - Ceolin, Davide

AU - Aroyo, Lora

AU - Noordegraaf, Julia

PY - 2016

Y1 - 2016

N2 - Assessing the quality of Web documents is crucial, but challenging. In this paper, we outline the different uncertainty bottlenecks that such task implies, and we propose a strategy to tackle them.

AB - Assessing the quality of Web documents is crucial, but challenging. In this paper, we outline the different uncertainty bottlenecks that such task implies, and we propose a strategy to tackle them.

UR - https://www.scopus.com/pages/publications/84987905643

UR - https://www.scopus.com/pages/publications/84987905643#tab=citedBy

M3 - Article

AN - SCOPUS:84987905643

SN - 1613-0073

VL - 1665

SP - 61

EP - 64

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

ER -

Identifying and classifying uncertainty layers in web document quality assessment

Abstract

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