Call for Semantic Web in Use Track Papers

Submissions to the ISWC In-Use track may employ scientific methods (qualitative and/or quantitative) to understand in greater detail the deployment of semantic technologies (online or offline) or present novel practical approaches that are relevant to the deployment of semantics but may not otherwise gain an outlet in the ISWC series.  Papers will be evaluated on how the use of semantic technologies impacts and provides utility to a wide range of users. Papers presenting Semantic Web tools should clearly describe the addressed problem and demonstrate the use of the tool in practice, for example, by providing quantitative data on the use in a specific domain. Besides this, tool papers should also include a convincing evaluation of the system and/or methods involved.

Accepted papers will be distributed to conference attendees and also published by Springer in the printed conference proceedings. At least one author of each accepted paper must register for the conference and present the paper there.

Topics of Interest

We invite the submission of original papers organized around some of the following aspects:

• Description and analysis of concrete problems and user requirements for applying semantic technologies in a specific domain
• Description of implementation and use of semantic applications in a specific domain
• Analysis and evaluation of usability and uptake of Semantic Web tools and technologies
• Assessment of the pros and cons of using semantic technologies to solve a particular and practical problem
• Pragmatics of using or deploying Semantic Web technologies in real-world scenarios
• Comparison of semantic technologies with alternative approaches that use conventional or competing technologies
• Learned lessons and best practices from deploying and using an application or service based on Semantic Web technologies
• Assessment of costs and benefits of implementing, deploying, using, and managing Semantic Web technologies
• Analysis of risks and opportunities of using Semantic Web technologies in organizations with respect to their businesses and customers
• Description of Semantic Web ontologies and/or datasets that are being widely used in practice

The Semantic Web In-use papers will be evaluated on their relevance to the track, rigor in the methodology and analysis used to reach conclusions, originality, readability, and usefulness to developers, researchers, and practitioners.

Submission Details

All submission have to be submitted electronically via EasyChair: https://www.easychair.org/conferences/?conf=iswc2012inuse

Submissions must be in PDF. Submissions must be written in English, and be formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). Submissions must be no longer than 16 pages. Papers that exceed this limit will be rejected without review.
For details on the LNCS style, see Springer's Author Instructions at http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Authors of accepted papers will be required to provide semantic annotations for the abstract of their submission, which will be made available on the conference web site. Details will be provided at the time of acceptance.

ISWC 2012 will not accept papers to the Semantic Web In-Use track that, at the time of submission, are under review for or have already been published in or accepted for publication in a journal or another conference. The conference organizers may share information on submissions with other venues to ensure that this rule is not violated.
Authors of papers submitted to the ISWC In-Use track (whether accepted or not) are encouraged to also consider submitting their work to the ISWC 2012 Poster and Demo track and/or to the Semantic Web Challenge, where appropriate. Please note that such submissions must be made separately to In-Use track submissions and must adhere strictly to the submission requirements for these tracks.

Important Dates

Co-Chairs

• Tania Tudorache, Stanford University
• Evren Sirin, Clark & Parsia LLC