Indexing and Abstracting on the World Wide Web: An Examination of Six Web Databases
| dc.contributor.author | Nicholson, Scott | |
| dc.date.accessioned | 2005-02-14T00:00:01Z | |
| dc.date.available | 2010-06-18T23:42:52Z | |
| dc.date.issued | 1997 | en_US |
| dc.date.submitted | 2005-02-14 | en_US |
| dc.identifier.citation | Indexing and Abstracting on the World Wide Web: An Examination of Six Web Databases 1997, 16(2):73-81 Information Technology and Libraries | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/106226 | |
| dc.description.abstract | Web databases, commonly known as search engines or web directories, are currently the most useful way to search the Internet. In this article, the author draws from library literature to develop a series of questions that can be used to analyze these web searching tools. Six popular web databases are analyzed using this method. Using this analysis, the author creates three categories for web databases and explores the most appropriate searches to perform with each. The work concludes with a proposal for the ideal web database. | |
| dc.format.mimetype | application/pdf | en_US |
| dc.language.iso | en | en_US |
| dc.subject | centralized database | en_US |
| dc.subject | organization and searching | en_US |
| dc.subject | information resources | en_US |
| dc.subject | indexing | en_US |
| dc.subject | abstracting | en_US |
| dc.subject | Web Mining | en_US |
| dc.subject | Internet | en_US |
| dc.title | Indexing and Abstracting on the World Wide Web: An Examination of Six Web Databases | en_US |
| dc.type | Journal Article (Paginated) | en_US |
| dc.identifier.journal | Information Technology and Libraries | en_US |
| refterms.dateFOA | 2018-08-21T16:49:11Z | |
| html.description.abstract | Web databases, commonly known as search engines or web directories, are currently the most useful way to search the Internet. In this article, the author draws from library literature to develop a series of questions that can be used to analyze these web searching tools. Six popular web databases are analyzed using this method. Using this analysis, the author creates three categories for web databases and explores the most appropriate searches to perform with each. The work concludes with a proposal for the ideal web database. |
