Analysing and enriching focused semantic web archives for parliament applications

The web and the social web play an increasingly important role as an information source for Members of Parliament and their assistants, journalists, political analysts and researchers. It provides important and crucial background information, like reactions to political events and comments made by the general public. The case study presented in this paper is driven by two European parliaments (the Greek and the Austrian parliament) and targets an effective exploration of political web archives. In this paper, we describe semantic technologies deployed to ease the exploration of the archived web and social web content and present evaluation results.

Metadaten
Author:	Elena Demidova ORCiD GND, Nicola Barbieri, Stefan Dietze, Adam Funk, Helge Holzmann, Diana Maynard, Nikolaos Papailiou, Wim Peters, Thomas Risse ORCiD GND, Dimitris Spiliotopoulos
URN:	urn:nbn:de:hebis:30:3-536507
DOI:	https://doi.org/10.3390/fi6030433
ISSN:	1999-5903
Parent Title (English):	Future Internet
Publisher:	MDPI
Place of publication:	Basel
Document Type:	Article
Language:	English
Year of Completion:	2014
Date of first Publication:	2014/07/30
Publishing Institution:	Universitätsbibliothek Johann Christian Senckenberg
Release Date:	2020/05/25
Tag:	enrichment; entity and event extraction; parliament libraries; semantic content analysis; topic detection; web archiving
Volume:	6
Issue:	3
Page Number:	24
First Page:	433
Last Page:	456
Note:	This is an open access article distributed under the Creative Commons Attribution License
HeBIS-PPN:	465074502
Institutes:	Zentrale Einrichtung / Universitätsbibliothek
Dewey Decimal Classification:	0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
	3 Sozialwissenschaften / 32 Politikwissenschaft / 320 Politikwissenschaft
Sammlungen:	Universitätspublikationen
Licence (German):	Creative Commons - Namensnennung-Keine kommerzielle Nutzung-Weitergabe unter gleichen Bedingungen

Open Access