STOLL, Uwe, Mouzhi GE a Martin HEPP. Understanding the Impact of E-Commerce Software on the Adoption of Structured Data on the Web. In Abramowicz, W. BUSINESS INFORMATION SYSTEMS, BIS 2013. BERLIN: SPRINGER-VERLAG BERLIN, 2013, s. 100-112. ISSN 1865-1348.
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Základní údaje
Originální název Understanding the Impact of E-Commerce Software on the Adoption of Structured Data on the Web
Autoři STOLL, Uwe, Mouzhi GE a Martin HEPP.
Vydání BERLIN, BUSINESS INFORMATION SYSTEMS, BIS 2013, od s. 100-112, 13 s. 2013.
Nakladatel SPRINGER-VERLAG BERLIN
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Utajení není předmětem státního či obchodního tajemství
Organizační jednotka Fakulta informatiky
ISSN 1865-1348
UT WoS 000345329200009
Klíčová slova anglicky E-Commerce; Semantic Web; RDFa; Microdata; Microformats; SEO; schema.org; GoodRelations; Technology Adoption
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: doc. Mouzhi Ge, Ph.D., učo 239833. Změněno: 2. 4. 2017 15:40.
Anotace
In this paper, we analyze the potential impact of e-commerce software packages on the diffusion of markup for structured data on the Web. We argue that such an analysis must focus on the product detail pages, i.e. the "deep links" to individual items, rather than the pure number of shop sites, for assessing the potential. Based on (1) a systematic analysis of the popularity of 56 software packages for e-commerce sites among the Alexa list of the one million most popular Web sites, we (2) estimate the number of product detail pages for the respective shops and then (3) project the potential lever of each e-commerce package for the adoption of structured markup, assumed that adding support for structured data can be made a readily available feature of a respective software. Our results indicate that by adding a structured markup component to as little as seven popular e-commerce systems, we could instantly deploy structured data markup on nearly 90 % of the product detail pages among the one million most popular Web sites.
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