Comparison of approaches for gathering data from the web for technology trend analysis

Ayse Kaya Firat, Wei Lee Woon, Stuart Madnick

We are investigating trend extrapolation using historical data from academic publications to forecast future technology directions. Many sources of academic information on the Web (e.g., Google Scholar, Scirus) provide a wealth of relevant information, yet they are not structured for programmatic access. We can use Web wrappers, programs that can harvest text data from Web pages and present them in a structured format, to overcome this problem

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Year of publication:	2008
Authors:	Kaya Firat, Ayse ; Woon, Wei Lee ; Madnick, Stuart E.
Publisher:	Cambridge, Mass. : MIT Sloan School of Management
Subject:	Internet \| Informationsversorgung \| Information provision \| Bibliometrie \| Bibliometrics \| Zeitreihenanalyse \| Time series analysis \| Data Mining \| Data mining \| Trend

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Extent:	Online-Ressource (25 S., 2226 KB) Ill.
Series:	Sloan working papers. - Cambridge, Mass. : [Verlag nicht ermittelbar], ZDB-ID 2446924-5. - Vol. 4727-09
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Other identifiers:	10.2139/ssrn.1356047 [DOI] hdl:1721.1/66255 [Handle]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10003947794