CITYBENCH for benchmarking European urban zones.
Short Description
CityBench Webtool enables you to compare or view similarity of major European Urban Zones on the basis of a set of configurable indicators. The indicators are subdivided into several themes, and were derived from official data sources (ESPON, Eurostat, EEA, etc).
GEOTEC’s contribution
Geotec participation in this project included the design and implementation of a REST API and services for accessing, comparing and normalizing the indicators data provided by several datasources with different spatial resolutions. Besides, the services provide access to the geographical data related to the Large Urban Zones. Our team also participated in the design of the database for storing the indicators data.
Publications
Casteleyn, Sven; Garrigós, Irene; Mazon, Jose-Norberto
Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond Journal Article
In: ACM transactions on the web, vol. 8, no. 3, pp. Art. 18, 2014, ISSN: 1559-1131, (IF: 1.225, Q2).
@article{ISI:000339623400006,
title = {Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond},
author = { Sven Casteleyn and Irene Garrigós and Jose-Norberto Mazon},
url = {http://hdl.handle.net/10234/121903},
doi = {10.1145/2626369},
issn = {1559-1131},
year = {2014},
date = {2014-01-01},
journal = {ACM transactions on the web},
volume = {8},
number = {3},
pages = {Art. 18},
publisher = {ASSOC COMPUTING MACHINERY},
abstract = {BACKGROUND. The term Rich Internet Applications (RIAs) is generally associated with Web applications that provide the features and functionality of traditional desktop applications. Ten years after the introduction of the term, an ample amount of research has been carried out to study various aspects of RIAs. It has thus become essential to summarize this research and provide an adequate overview. OBJECTIVE. The objective of our study is to assemble, classify, and analyze all RIA research performed in the scientific community, thus providing a consolidated overview thereof, and to identify well-established topics, trends, and open research issues. Additionally, we provide a qualitative discussion of the most interesting findings. This work therefore serves as a reference work for beginning and established RIA researchers alike, as well as for industrial actors that need an introduction in the field, or seek pointers to (a specific subset of) the state-of-the-art. METHOD. A systematic mapping study is performed in order to identify all RIA-related publications, define a classification scheme, and categorize, analyze, and discuss the identified research according to it. RESULTS. Our source identification phase resulted in 133 relevant, peer-reviewed publications, published between 2002 and 2011 in a wide variety of venues. They were subsequently classified according to four facets: development activity, research topic, contribution type, and research type. Pie, stacked bar, and bubble charts were used to depict and analyze the results. A deeper analysis is provided for the most interesting and/or remarkable results. CONCLUSION. Analysis of the results shows that, although the RIA term was coined in 2002, the first RIA-related research appeared in 2004. From 2007 there was a significant increase in research activity, peaking in 2009 and decreasing to pre-2009 levels afterwards. All development phases are covered in the identified research, with emphasis on ``design'' (33%) and ``implementation'' (29%). The majority of research proposes a ``method'' (44%), followed by ``model'' (22%), ``methodology'' (18%), and ``tools'' (16%); no publications in the category ``metrics'' were found. The preponderant research topic is ``models, methods and methodologies'' (23%) and, to a lesser extent, ``usability and accessibility'' and ``user interface'' (11% each). On the other hand, the topic ``localization, internationalization and multilinguality'' received no attention at all, and topics such as ``deep Web'' (under 1%), ``business processing'', ``usage analysis'', ``data management'', ``quality and metrics'' (all under 2%), ``semantics'', and ``performance'' (slightly above 2%) received very little attention. Finally, there is a large majority of ``solution proposals'' (66%), few ``evaluation research'' (14%), and even fewer ``validation'' (6%), although the latter have been increasing in recent years.},
note = {IF: 1.225, Q2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
BACKGROUND. The term Rich Internet Applications (RIAs) is generally associated with Web applications that provide the features and functionality of traditional desktop applications. Ten years after the introduction of the term, an ample amount of research has been carried out to study various aspects of RIAs. It has thus become essential to summarize this research and provide an adequate overview. OBJECTIVE. The objective of our study is to assemble, classify, and analyze all RIA research performed in the scientific community, thus providing a consolidated overview thereof, and to identify well-established topics, trends, and open research issues. Additionally, we provide a qualitative discussion of the most interesting findings. This work therefore serves as a reference work for beginning and established RIA researchers alike, as well as for industrial actors that need an introduction in the field, or seek pointers to (a specific subset of) the state-of-the-art. METHOD. A systematic mapping study is performed in order to identify all RIA-related publications, define a classification scheme, and categorize, analyze, and discuss the identified research according to it. RESULTS. Our source identification phase resulted in 133 relevant, peer-reviewed publications, published between 2002 and 2011 in a wide variety of venues. They were subsequently classified according to four facets: development activity, research topic, contribution type, and research type. Pie, stacked bar, and bubble charts were used to depict and analyze the results. A deeper analysis is provided for the most interesting and/or remarkable results. CONCLUSION. Analysis of the results shows that, although the RIA term was coined in 2002, the first RIA-related research appeared in 2004. From 2007 there was a significant increase in research activity, peaking in 2009 and decreasing to pre-2009 levels afterwards. All development phases are covered in the identified research, with emphasis on ``design'' (33%) and ``implementation'' (29%). The majority of research proposes a ``method'' (44%), followed by ``model'' (22%), ``methodology'' (18%), and ``tools'' (16%); no publications in the category ``metrics'' were found. The preponderant research topic is ``models, methods and methodologies'' (23%) and, to a lesser extent, ``usability and accessibility'' and ``user interface'' (11% each). On the other hand, the topic ``localization, internationalization and multilinguality'' received no attention at all, and topics such as ``deep Web'' (under 1%), ``business processing'', ``usage analysis'', ``data management'', ``quality and metrics'' (all under 2%), ``semantics'', and ``performance'' (slightly above 2%) received very little attention. Finally, there is a large majority of ``solution proposals'' (66%), few ``evaluation research'' (14%), and even fewer ``validation'' (6%), although the latter have been increasing in recent years.