|
How Geo-Browsers, Social Software and the Web 2.0 are Shaping the Network Society Edited Springer BookYou are cordially invited to submit chapters for an upcoming book on the Geospatial Web, published by Springer in the Advanced Information and Knowledge Processing Series. 数据挖掘研究院 Call for Papers [PDF; 177 kB] 数据挖掘研究院 |
|
|
By integrating cartographic data with geo-tagged knowledge repositories, the emerging Geospatial Web will revolutionize the production, distribution and consumption of media products. This edited volume will bring together high quality contributions on the technical foundations of the Geospatial Web, present information services and collaborative environments built on top of geospatial platforms such as NASA World Wind, Google Earth and MSN Virtual Earth, and investigate the economic and societal impacts of such knowledge-intensive applications. A particular focus of the book is the integration of geospatial and semantic technology, for example to extract geospatial context from unstructured textual resources. 数据挖掘实验室
IMPORTANT DATES
Oct 10, 2006: Paper Submission Deadline*
Nov 01, 2006: Notification of Acceptance
Dec 01, 2006: Camera-ready Copy of Final Chapters Due
May 31, 2007: Publication
数据挖掘研究院
* Optional submission of abstracts - between 300 and 500 words with one figure - for guidance and indication of appropriate content until Aug 31. Both the abstracts and the full papers should be uploaded via the online submission system (see below).
数据挖掘研究院
SCOPE
International media have recognized the potential of the new generation of geo-browsers, for example when Web and television coverage on hurricane “Katrina” used publicly available online services to illustrate its path and the scale of destruction. Yet these early applications only hint at the true potential of geo-browsing technology to enable new interface metaphors for accessing electronic resources, and to build and maintain virtual communities. The scale-independent spherical globes of geo-browsers are an ideal platform to integrate (i) cartographic data such as topographic maps and street directories, (ii) geo-tagged knowledge repositories aggregated from public online sources or corporate Intranets, and (iii) environmental indicators such as emission levels, ozone concentrations, and biodiversity density. 数据挖掘实验室
The Geospatial Web will have a profound impact on managing knowledge and structuring workflows within and across organizations, and on the interactions between an organization and its target audience. Geospatial collaborative environments also catalyze virtual communities by matching people of similar interests, browsing behavior, or geographic location.
This edited volume emphasizes the role of contextual knowledge in shaping the emerging network society. It investigates the impact of geospatial technology on content production environments, with an emphasis on hybrid approaches that combine the advantages of individual and collaborative content production – e.g. integrating ‘edited’ material from traditional encyclopedias and news media with ‘evolving’ content from Wiki applications. Such collaborative environments can be enriched by automated aggregators for Web content and news feeds in RSS, RDF, or Atom formats, which have recently gained in popularity. Annotating content from these heterogeneous sources creates complex knowledge repositories spanning multiple dimensions (space, time, semantics, etc.). The size and complexity of these repositories calls for new interface metaphors to increase their accessibility and transparency. 数据挖掘实验室
Possible topics for submissions include but are not limited to: 数据挖掘研究院
-
State-of-the-art and emerging trends of geo-browsing platforms 数据挖掘研究院
-
Knowledge acquisition and management in a geospatial context 数据挖掘研究院
-
Knowledge relationship discovery and management
(e.g. matching geospatial relationships with semantic or temporal relationships)
-
Knowledge-intensive, location-based services 数据挖掘研究院
-
Marketing of products and services via the Geospatial Web 数据挖掘研究院
-
Content, annotation and ontology services as enablers of the Geospatial Web
-
Natural language processing to extract geospatial context
-
System architectures and development of dynamic, distributed geospatial applications
-
Platform connectivity (mash-ups, add-ons, XML/RDF-based exchange formats) 数据挖掘研究院
-
Collaborative authoring via geo-browsers (Web 2.0 extensions, social software)
-
Geospatial environments for knowledge workers 数据挖掘研究院
-
Tracking the behavior of knowledge workers navigating the Geospatial Web
-
Human-Computer Interaction (HCI) research on geospatial interfaces
-
Case studies of geospatial applications in various domains
-
Societal implications (global awareness and identity, impact of virtual communities)
SUBMISSION
Only electronic submissions will be accepted in either MS Word or RTF format (word limits excluding references: full papers 4000-5000 words; short papers: 1500-2000 words). To facilitate review, authors should identify the type of submission: Completed Research, Research-In-Progress, Case Study. Articles must neither be published previously nor under consideration for publication or presentation elsewhere. Initial submissions and the final camera-ready chapters must be based on the guidelines of the MS Word template and uploaded to the online submission system at know-center.at/chairhelper/geoweb
数据挖掘研究院
EDITORS
Prof Arno Scharl (scharl@know-center.at)
Prof Klaus Tochtermann (ktochter@know-center.at)
数据挖掘研究院
Know-Center and Graz University of Technology,
Knowledge Management Institute, Inffeldgasse 21a, A-8010 Graz, Austria
www.know-center.at | kmi.tugraz.at | www.ecoresearch.net
数据挖掘研究院

