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



Título del documento: Information Extraction in Semantic, Highly-Structured, and Semi-Structured Web Sources
Revista: Polibits
Base de datos: PERIÓDICA
Número de sistema: 000376482
ISSN: 1870-9044
Autores: 1
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Instituciones: 1Universidad de Vigo, Departamento de Telemática, Vigo, Pontevedra. España
Año:
Periodo: Ene-Jun
Número: 49
Paginación: 69-76
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés 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
Disciplinas: Ciencias de la computación,
Bibliotecología y ciencia de la información
Palabras clave: Procesamiento de datos,
Tecnología de la información,
Servicios web,
Extracción de información,
Semántica,
Minería de datos,
Recuperación de información
Keyword: Computer science,
Library and information science,
Data processing,
Information technology,
Web services,
Information extraction,
Semantics,
Data mining,
Information retrieval
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