Grant: Engage Grants Program
Athabasca University
$24,915.00
Semantic Web-enabled e-commerce cataloguing
EF 2012-13
Résumé
Software Guy Brokers is an Information Technology company that focuses on delivering e-commerce platform solutions to its customers that helps them in effectively maintaining their online business and also in optimizing their item catalog for efficient product classification in order to increase revenue generation. The integration of product and item information into the platform developed by Software Guy Brokers is through a proprietary licensed Etilize Spex dataset that contains over several million Information Technology and Consumer Electronics Stock-Keeping Units (SKUs). This dataset is used as the initial seed dataset that will eventually grow as the users enter additional item information into the e-commerce catalog. The main deficiency with the Spex dataset is that item descriptions are classified based on the manufacturers of the items. For instance, a blender will be classified close to a screw driver only because they are manufactured by the
same producer although they do not have any semantic relevance or similarity. This simple issue gives rise to much more serious concerns for Software Guy Brokers: 1) Given that items are classified based on
manufacturer in the Spec dataset, the items that are imported into the e-commerce catalog need to be re-shuffled under the acceptable categories in order for them to be usable; 2) As new item information is
entered on top of the Spex dataset, such as the items not present in that dataset or information related to pricing, warranty, shipping information that are not maintained in Spex, inconsistencies can accumulate in the
e-commerce catalog. For instance, two identical items may be entered multiple times with minor differences and inconsistent pricing that can result in customer dissatisfaction; and, 3) Customization in the e-commerce catalog can change the original format and content of the item information. For this reason, the integration of frequently updated versions of Spex has become a cumbersome and complex task.
In light of these three important challenges that Software Guy Brokers faces, we will be looking at ways thatcan enhance the semantic description of e-commerce items in a way that would facilitate the resolution of those challenges. We will be mainly focusing on the use of Semantic Technologies for item annotation and description; multiple catalog integration; and, inconsistency identification and resolution.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
434015-2012
Name nom
Bagheri, Ebrahim
Department département
Computing & Information Systems, School of
Organization id
15
Institution établissement
Athabasca University
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2012
Award amount
24915
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1555
Committee name en
Prairie Internal Decision Committee
Committee name fr
Comité de décision interne pour les Prairies
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
1
Application title
Semantic Web-enabled e-commerce cataloguing
Keyword
NSERC
Application summary
Software Guy Brokers is an Information Technology company that focuses on delivering e-commerce platform solutions to its customers that helps them in effectively maintaining their online business and also in optimizing their item catalog for efficient product classification in order to increase revenue generation. The integration of product and item information into the platform developed by Software Guy Brokers is through a proprietary licensed Etilize Spex dataset that contains over several million Information Technology and Consumer Electronics Stock-Keeping Units (SKUs). This dataset is used as the initial seed dataset that will eventually grow as the users enter additional item information into the e-commerce catalog. The main deficiency with the Spex dataset is that item descriptions are classified based on the manufacturers of the items. For instance, a blender will be classified close to a screw driver only because they are manufactured by the
same producer although they do not have any semantic relevance or similarity. This simple issue gives rise to much more serious concerns for Software Guy Brokers: 1) Given that items are classified based on
manufacturer in the Spec dataset, the items that are imported into the e-commerce catalog need to be re-shuffled under the acceptable categories in order for them to be usable; 2) As new item information is
entered on top of the Spex dataset, such as the items not present in that dataset or information related to pricing, warranty, shipping information that are not maintained in Spex, inconsistencies can accumulate in the
e-commerce catalog. For instance, two identical items may be entered multiple times with minor differences and inconsistent pricing that can result in customer dissatisfaction; and, 3) Customization in the e-commerce catalog can change the original format and content of the item information. For this reason, the integration of frequently updated versions of Spex has become a cumbersome and complex task.
In light of these three important challenges that Software Guy Brokers faces, we will be looking at ways thatcan enhance the semantic description of e-commerce items in a way that would facilitate the resolution of those challenges. We will be mainly focusing on the use of Semantic Technologies for item annotation and description; multiple catalog integration; and, inconsistency identification and resolution.