Itinerary planner: A mashup case study

Govardhan, S; Feuerlicht, G

Itinerary planner: A mashup case study

Govardhan, S Feuerlicht, G

Permalink

Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, 4907 LNCS pp. 3 - 14
Issue Date:: 2009-02-23

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (548.89 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Govardhan, S	en_US
dc.contributor.author	Feuerlicht, G	en_US
dc.date.issued	2009-02-23	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, 4907 LNCS pp. 3 - 14	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12638
dc.description.abstract	The wide adoption of Web Services and the availability of web APIs are transforming the web into a programmatic environment for developing innovative web applications that combine information from various sources to provide a rich user experience. These mashup applications are characterized by rapid development using existing data sources and the use of new technologies such as AJAX, JSON, etc. Developers often focus on delivering rich functionality via the browser environment and pay little attention to the design and maintainability of the applications. In this paper we describe our experience in developing an Itinerary Planner travel application, and discuss the challenges associated with developing mashups. In the conclusion, we briefly discuss the lessons learned in addressing these challenges and how these lessons can be applied to future mashup projects. © 2009 Springer Berlin Heidelberg.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-540-93851-4_2	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Itinerary planner: A mashup case study	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4907 LNCS	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Vieena, Austria	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	4907 LNCS	en_US

Abstract:

The wide adoption of Web Services and the availability of web APIs are transforming the web into a programmatic environment for developing innovative web applications that combine information from various sources to provide a rich user experience. These mashup applications are characterized by rapid development using existing data sources and the use of new technologies such as AJAX, JSON, etc. Developers often focus on delivering rich functionality via the browser environment and pay little attention to the design and maintainability of the applications. In this paper we describe our experience in developing an Itinerary Planner travel application, and discuss the challenges associated with developing mashups. In the conclusion, we briefly discuss the lessons learned in addressing these challenges and how these lessons can be applied to future mashup projects. © 2009 Springer Berlin Heidelberg.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/12638