Structured Data on the Web.
The article discusses the nature of structured data on the World Wide Web and the challenges of using it. Because data on the Web can be about any topic, does not conform to a standardized data design, and is embedded in pages of text, it poses significant problems for traditional data management te...
| Publicado en: | Communications of the ACM Vol. 54; no. 2; pp. 72 - 80 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Feb2011
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=59631584&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 59631584 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Feb2011 vid: 54 iid: 2 pid: 68 pub: Association for Computing Machinery artinfo: ui: 59631584 10.1145/1897816.1897839 ppf: 72 ppct: 8 formats: tig: atl: Structured Data on the Web. aug: au: CAFARELLA, MICHAEL J. HALEVY, ALON MADHAVAN, JAYANT affil: Assistant Professor of Computer Science and Engineering, University of Michigan, Ann Arbor, MI.Head of the Structured Data Management Research Group, Google Research, Mountain View, CA. Senior Software Engineer, Google Research, Mountain View, CA. su: Structured techniques of electronic data processing Web search engines Online databases Data analysis Database management Google Inc. sug: subj: Structured techniques of electronic data processing Web search engines Online databases Data analysis Database management Google Inc. ab: The article discusses the nature of structured data on the World Wide Web and the challenges of using it. Because data on the Web can be about any topic, does not conform to a standardized data design, and is embedded in pages of text, it poses significant problems for traditional data management techniques. Methods for data integration and data modeling using multiple internet sources and metadata are discussed. The examples provided are WebTables and Deep Web Crawler, both developed by the internet search firm Google. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
|---|