Information Extraction in Semantic, Highly-Structured, and Semi-Structured Web Sources

Autor:	Miguel Gómez Carballa, Carlos Rivas Costa, Luis Anido Rifón, Juan M. Santos Gago, Roberto Pérez Rodríguez, Víctor M. Alonso-Rorís
Rok vydání:	2014
Předmět:	medicine.medical_specialty Web development business.industry Computer science Web engineering Social Semantic Web World Wide Web Web page medicine Semantic Web Stack business Web intelligence Web modeling Data Web
Zdroj:	Polibits. 49:69-75
ISSN:	2395-8618 1870-9044
DOI:	10.17562/pb-49-8
Popis:	The evolution of the Web from the original proposal made in 1989 can be considered one of the most revolutionary technological changes in centuries. During the past 25 years the Web has evolved from a static version to a fully dynamic and interoperable intelligent ecosystem. The amount of data produced during these few decades is enormous. New applications, developed by individual developers or small companies, can take advantage of both services and data already present on the Web. Data, produced by humans and machines, may be available in different formats and through different access interfaces. This paper analyses three different types of data available on the Web and presents mechanisms for accessing and extracting this information. The authors show several applications that leverage extracted information in two areas of research: recommendations of educational resources beyond content and interactive digital TV applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6f27a746505c8abafd3f7daf80138bba https://doi.org/10.17562/pb-49-8 Zobrazit plný text záznamu