Web Information Extraction by Semantic Tagging

Autor:	Tommaso Di Noia, Mirel Cosulschi, Roberto De Virgilio, Roberto Mirizzi
Přispěvatelé:	Mirel, Cosulschi, DE VIRGILIO, Roberto, TOMMASO DI, Noia, Roberto, Mirizzi
Rok vydání:	2010
Předmět:	medicine.medical_specialty Information retrieval General Computer Science Computer science business.industry Social Semantic Web World Wide Web Web page medicine Web navigation Semantic Web Stack Web intelligence business Semantic Web Web modeling Data Web
Zdroj:	Revista de Informática Teórica e Aplicada; v. 16, n. 2 (2009); 77-78
ISSN:	2175-2745 0103-4308
DOI:	10.22456/2175-2745.12576
Popis:	An important aspect of research for Web information extraction relates to the inference of complex reasoning and correlation based on distributed information available in many different Web data sources. By defining the semantics of information and services available on the Web, the World Wide Web becomes a vast store of information that can be easily processed by computer applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a55051074ebe11223b7949ea51d4515e https://doi.org/10.22456/2175-2745.12576 Zobrazit plný text záznamu