Understanding the Impact of E-Commerce Software on the Adoption
of Structured Data on the Web

D 2013

Understanding the Impact of E-Commerce Software on the Adoption of Structured Data on the Web

STOLL, Uwe; Mouzhi GE a Martin HEPP

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

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

UT WoS

000345329200009

Klíčová slova anglicky

E-Commerce; Semantic Web; RDFa; Microdata; Microformats; SEO; schema.org; GoodRelations; Technology Adoption

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 2. 4. 2017 15:40, doc. Mouzhi Ge, Ph.D.

Anotace

V originále

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.

Citovat

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.

@inproceedings{1377075,
   author = {Stoll, Uwe and Ge, Mouzhi and Hepp, Martin},
   address = {BERLIN},
   booktitle = {BUSINESS INFORMATION SYSTEMS, BIS 2013},
   editor = {Abramowicz, W},
   keywords = {E-Commerce; Semantic Web; RDFa; Microdata; Microformats; SEO; schema.org; GoodRelations; Technology Adoption},
   language = {eng},
   location = {BERLIN},
   pages = {100-112},
   publisher = {SPRINGER-VERLAG BERLIN},
   title = {Understanding the Impact of E-Commerce Software on the Adoption of Structured Data on the Web},
   year = {2013}
}

TY  - CONF
ID  - 1377075
AU  - Stoll, Uwe - Ge, Mouzhi - Hepp, Martin
PY  - 2013
TI  - Understanding the Impact of E-Commerce Software on the Adoption of Structured Data on the Web
PB  - SPRINGER-VERLAG BERLIN
CY  - BERLIN
KW  - E-Commerce
KW  - Semantic Web
KW  - RDFa
KW  - Microdata
KW  - Microformats
KW  - SEO
KW  - schema.org
KW  - GoodRelations
KW  - Technology Adoption
N2  - 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.
ER  -

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. \textit{BUSINESS INFORMATION SYSTEMS, BIS 2013}. BERLIN: SPRINGER-VERLAG BERLIN, 2013, s.~100-112. ISSN~1865-1348.

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