posted by user: grupocole || 6529 views || tracked by 3 users: [display]

JDIQ-RIR 2018 : Special issue on Reproducibility in Information Retrieval ACM Journal of Data and Information Quality


When N/A
Where N/A
Submission Deadline Sep 8, 2017
Notification Due Dec 7, 2017
Final Version Due Mar 9, 2018
Categories    information retrieval

Call For Papers

Special issue on Reproducibility in Information Retrieval
ACM Journal of Data and Information Quality (ACM JDIQ)

** Guest editors **

Nicola Ferro, University of Padua, Italy,
Norbert Fuhr, University of Duisburg-Essen, Germany,
Andreas Rauber, Technical University of Vienna, Austria,

** Aim **

Information Retrieval is a discipline that has been strongly rooted in experimentation since its inception. Experimental evaluation has always been a strong driver for IR research and innovation, and these activities have been shaped by large scale evaluation campaigns such as TREC, CLEF, NTCIR and FIRE.

IR systems are getting more and more complex. They need to cross language and media barriers; they span from unstructured, to semi-structured to highly structured data; and they are faced with diverse and complex user information needs, search tasks, and societal challenges. As a consequence, evaluation and experimentation, which has remained a fundamental element, has in turn become increasingly sophisticated and challenging.

In this context, repeatability, reproducibility, and generalizability of experiments and results cannot be taken for granted. Indeed we need to emphasize these aspects as key requirements, if we wish to continue to reliably and durably advance research and technology in the field. In turn, we need to actively pursue them as a core part of our experimental methodology and practice.

In this special issue of JDIQ, we aspire to provide an overview of innovative research at the intersection of information retrieval and data quality, from theory to practice, with a focus on challenges, solutions, and experiences in reproducibility of IR experimental results.

** Topics **

Specific topics within the scope of the call include, but are not limited to, the following:
- Analysis of reproducibility challenges in system-oriented evaluation.
- Analysis of reproducibility challenges in user-oriented evaluation.
- General reproducibility frameworks for IR.
- Lessons learned in reproducing third-party experiments.
- Reproducibility of query results.
- Reproducibility challenges on private or proprietary data.
- Reproducibility challenges on ephemeral data, like streaming data, tweets, etc.
- Reproducibility challenges on online experiments, e.g., A/B testing.
- Reproducibility in evaluation campaigns.
- Evaluation infrastructures and Evaluation as a Service (EaaS).
- Experiment data management, data curation, and data quality.
- Data models, semantic or not, for IR experimental data.
- Reproducible experimental workflows: tools and experiences.
- Quality of IR experimental data.
- Data Citation: citing experimental data, dynamic data sets, samples, and statistical analyses.

** Expected contributions **

We welcome the following two types of contributions:
- Research manuscripts reporting mature results [25+ pages].
- Experience papers that report on lessons learned from addressing specific issues towards improved quality and reproducibility of experimental results [12+ pages plus an optional appendix].

If this is an extension of prior published work, then submitted manuscripts must contain at least 30% new material, and the significant new contributions must be clearly identified in the introduction.

Submission guidelines with Latex (preferred) or Word templates are available here:

** Important dates **

- Initial submission: Friday September 8, 2017
- First review: Thursday December 7, 2017
- Revised manuscripts: Friday March 9, 2018
- Second review: Friday May 11, 2018
- Camera-ready manuscripts: Friday July 13, 2018
- Publication: Late October 2018

Related Resources

SIGIR 2019   International ACM SIGIR Conference on Research and Development in Information Retrieval
RecSys 2019   13th ACM Conference on Recommender Systems
ESWC 2019   The 16th Extended Semantic Web Conference
OCS-IMTIR 2019   Open Computer Science Topical Issue on Intelligent Methods for Textual Information Retrieval
NLPIR--Ei Compendex and Scopus 2019   2019 3rd International Conference on Natural Language Processing and Information Retrieval (NLPIR 2019)--Ei Compendex and Scopus
IJNLC 2018   International Journal on Natural Language Computing
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
Journal Special Issue 2019   Machine Learning on Scientific Data and Information
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning