Intelligent Mobile Search Oriented to Global e-Commerce
In this paper we propose a novel approach for
searching eCommerce products using a mobile phone, illustrated by a
prototype eCoMobile. This approach aims to globalize the mobile
search by integrating the concept of user multilinguism into it. To
show that, we particularly deal with English and Arabic languages.
Indeed the mobile user can formulate his query on a commercial
product in either language (English/Arabic). The description of his
information need on commercial products relies on the ontology that
represents the conceptualization of the product catalogue knowledge
domain defined in both English and Arabic languages. A query
expressed on a mobile device client defines the concept that
corresponds to the name of the product followed by a set of pairs
(property, value) specifying the characteristics of the product. Once a
query is submitted it is then communicated to the server side which
analyses it and in its turn performs an http request to an eCommerce
application server (like Amazon). This latter responds by returning
an XML file representing a set of elements where each element
defines an item of the searched product with its specific
characteristics. The XML file is analyzed on the server side and then
items are displayed on the mobile device client along with its
relevant characteristics in the chosen language.
[1] M. Kamvar, S. Baluja, "A Large Scale Study of Wireless Search
Behavior: Google Mobile Search", in Proc. of international conference
for human-computer interaction CHI 2006, pp. 22-27, Canada.
[2] Soffer, Y. Maarek, "WWW2002, Workshop on Mobile Search".
acm.org/sigmod/record/issues/0209/r1.mobile-search-workshopreport.
pdf.
[3] V. Roto, "Search on Mobile Phones", Journal of the American Society
for Information Science and Technology, 57(6):834-837, 2006.
[4] M. Jones, G. Marsden, et al. "Improving Web Interaction on Small
Displays", in Proc. 8th Int. World Wide Web Conf., 1999.
[5] O. Buyukkokten, H. Garcia-Molina, A. Paepcke,"Focused Web
Searching with PDA", in Proc. 9th World Wide Web Conf., 2000.
[6] E. Chang, H. Meng, et al. "Efficient Web Search on Mobile Devices
with Multi-Modal Input and Intelligent Text Summarization", in
proceedings of World Wide Web conference, Honolulu, Hawaii, 2002.
[7] K. Satya Sai Prakash, S.V. Raghavan, "Web Search in Mobile Context",
IEEE International Conference of Personal Wireless Communication
ISBN: 0-7803-8964-6, IEEE Catalog No: 05TH8793, pp: 276 - 279,
January 23 - 25, 2005, New Delhi, India.
[8] A. K. Karlson, G. Robertson et al., "FaThumb: A Facet-based Interface
for Mobile Search», in proceedings of CHI-06 conference, Montreal,
Canada, 2006.
[9] M. Uschold and M. Gruninger, "Ontologies: principles, methods, and
applications. Knowledge Engineering Review, 11(2):93-155, 1996.
[10] G. van Heijst, A. T. Schreiber, and B. J. Wielinga, "Using explicit
ontologies in KBS development", International Journal of Human-
Computer Studies, 46(2/3):183-292, 1997.
[11] C.J. van Rijsberg, "Information Retrieval", Butterworths, Oxford, 1979.
[12] G. Salton, "Automatic Information Organization and Retrieval",
McGraw-Hill, New York, 1968.
[13] R. Baeza-Yates, B. Ribeiro-Neto, "Modern Information Retrieval",
Addison-Wesley-Longman Publishing, 1999.
[14] U. Shah et al., "Information Retrieval on the Semantic Web", In Proc.
CIKM-02, Virginia, 2002.
[15] N. Stojanovic, R. Studer, L., Stojanovic, "An approach for the ranking
of query results in the semantic Web", in proceedings of ISWC
Conference 2003.
[16] W. N. Borst, "Construction of Engineering Ontologies", PhD thesis,
University of Twente, Enschede, 1997.
[17] N. Guarino, "Formal Ontology and Information Systems ", in N.
Guarino, editor, Proceedings of the 1st International Conference on
Formal Ontology and Information Systems, IOS Press, Italy, 1998.
[18] N. Guarino, "Formal ontology, conceptual analysis and knowledge
representation. International Journal of Human-Computer Studies,
4395/60:625-640, 1995. Special issue on The Role of Formal Ontology
in the Information Technology.
[19] O. Lassila and R. Swick, "Resources Description Framework (RDF) -
Model and Syntax Specification, World Wide Web Consortium W3C,
1999.
[20] http://www.daml.org: DAML+OIL - DARPA Agent Markup Language,
2000.
[21] http://www.w3.org/TR/owl-features/: Owl Web Ontology Language,
Overview, W3C Recommendation 2004.
[1] M. Kamvar, S. Baluja, "A Large Scale Study of Wireless Search
Behavior: Google Mobile Search", in Proc. of international conference
for human-computer interaction CHI 2006, pp. 22-27, Canada.
[2] Soffer, Y. Maarek, "WWW2002, Workshop on Mobile Search".
acm.org/sigmod/record/issues/0209/r1.mobile-search-workshopreport.
pdf.
[3] V. Roto, "Search on Mobile Phones", Journal of the American Society
for Information Science and Technology, 57(6):834-837, 2006.
[4] M. Jones, G. Marsden, et al. "Improving Web Interaction on Small
Displays", in Proc. 8th Int. World Wide Web Conf., 1999.
[5] O. Buyukkokten, H. Garcia-Molina, A. Paepcke,"Focused Web
Searching with PDA", in Proc. 9th World Wide Web Conf., 2000.
[6] E. Chang, H. Meng, et al. "Efficient Web Search on Mobile Devices
with Multi-Modal Input and Intelligent Text Summarization", in
proceedings of World Wide Web conference, Honolulu, Hawaii, 2002.
[7] K. Satya Sai Prakash, S.V. Raghavan, "Web Search in Mobile Context",
IEEE International Conference of Personal Wireless Communication
ISBN: 0-7803-8964-6, IEEE Catalog No: 05TH8793, pp: 276 - 279,
January 23 - 25, 2005, New Delhi, India.
[8] A. K. Karlson, G. Robertson et al., "FaThumb: A Facet-based Interface
for Mobile Search», in proceedings of CHI-06 conference, Montreal,
Canada, 2006.
[9] M. Uschold and M. Gruninger, "Ontologies: principles, methods, and
applications. Knowledge Engineering Review, 11(2):93-155, 1996.
[10] G. van Heijst, A. T. Schreiber, and B. J. Wielinga, "Using explicit
ontologies in KBS development", International Journal of Human-
Computer Studies, 46(2/3):183-292, 1997.
[11] C.J. van Rijsberg, "Information Retrieval", Butterworths, Oxford, 1979.
[12] G. Salton, "Automatic Information Organization and Retrieval",
McGraw-Hill, New York, 1968.
[13] R. Baeza-Yates, B. Ribeiro-Neto, "Modern Information Retrieval",
Addison-Wesley-Longman Publishing, 1999.
[14] U. Shah et al., "Information Retrieval on the Semantic Web", In Proc.
CIKM-02, Virginia, 2002.
[15] N. Stojanovic, R. Studer, L., Stojanovic, "An approach for the ranking
of query results in the semantic Web", in proceedings of ISWC
Conference 2003.
[16] W. N. Borst, "Construction of Engineering Ontologies", PhD thesis,
University of Twente, Enschede, 1997.
[17] N. Guarino, "Formal Ontology and Information Systems ", in N.
Guarino, editor, Proceedings of the 1st International Conference on
Formal Ontology and Information Systems, IOS Press, Italy, 1998.
[18] N. Guarino, "Formal ontology, conceptual analysis and knowledge
representation. International Journal of Human-Computer Studies,
4395/60:625-640, 1995. Special issue on The Role of Formal Ontology
in the Information Technology.
[19] O. Lassila and R. Swick, "Resources Description Framework (RDF) -
Model and Syntax Specification, World Wide Web Consortium W3C,
1999.
[20] http://www.daml.org: DAML+OIL - DARPA Agent Markup Language,
2000.
[21] http://www.w3.org/TR/owl-features/: Owl Web Ontology Language,
Overview, W3C Recommendation 2004.
@article{"International Journal of Business, Human and Social Sciences:49160", author = "Abdelkader Dekdouk", title = "Intelligent Mobile Search Oriented to Global e-Commerce", abstract = "In this paper we propose a novel approach for
searching eCommerce products using a mobile phone, illustrated by a
prototype eCoMobile. This approach aims to globalize the mobile
search by integrating the concept of user multilinguism into it. To
show that, we particularly deal with English and Arabic languages.
Indeed the mobile user can formulate his query on a commercial
product in either language (English/Arabic). The description of his
information need on commercial products relies on the ontology that
represents the conceptualization of the product catalogue knowledge
domain defined in both English and Arabic languages. A query
expressed on a mobile device client defines the concept that
corresponds to the name of the product followed by a set of pairs
(property, value) specifying the characteristics of the product. Once a
query is submitted it is then communicated to the server side which
analyses it and in its turn performs an http request to an eCommerce
application server (like Amazon). This latter responds by returning
an XML file representing a set of elements where each element
defines an item of the searched product with its specific
characteristics. The XML file is analyzed on the server side and then
items are displayed on the mobile device client along with its
relevant characteristics in the chosen language.", keywords = "Mobile computing, search engine, multilingualglobal eCommerce, ontology, XML.", volume = "2", number = "4", pages = "186-6", }