000			01796naa a2200241 a 4500
003			AR-LpUFIB
005			20250311170420.0
008			230201s2011 xx o 000 0 eng d
024	8		_aDIF-M6630 _b6769 _zDIF006046
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aTorres, Diego
245	1	0	_aSemdrops : _ba social semantic tagging approach for emerging semantic data
300			_a1 archivo (519,8 KB)
500			_aFormato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aThis paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops defines a conceptual model which is an extension of the Gruber's tag model where the tag concept is extended to semantic tag. Semdrops is implemented as a Firefox add-on tool that turns the web browser into a collaborative semantic data editor. To validate Semdrops's approach, we conducted an evaluation and usability studies and compared the results with automatic generation methods of semantic data such as DBpedia. The studies demonstrated that Semdrops is an effective and complementary approach to produce adequate semantic data on the Web.
534			_aIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (2011 ago. 22-27 : Lyon, Francia). IEEE, 2011, vol. 1, pp. 340-347
650		4	_aSEMÁNTICA
700	1		_aDíaz, Alicia Viviana
700	1		_aSkaf-Molli, Hala
700	1		_aMolli, Pascal
856	4	0	_uhttp://dx.doi.org/10.1109/WI-IAT.2011.51
942			_cCP
999			_c55828 _d55828