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DATA:SEARCH 2018 : DATA:SEARCH @ SIGIR’2018: International Workshop on Searching Data on the Web

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Link: https://datasearch-ws.github.io/2018/
 
When Jul 12, 2018 - Jul 12, 2018
Where Ann Arbor Michigan, USA
Submission Deadline May 11, 2018
Notification Due May 25, 2018
Final Version Due Jun 8, 2018
Categories    data search   dataset retrieval   human data interaction   web of data
 

Call For Papers

DATA:SEARCH - International Workshop on Searching Data on the Web
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Submission deadline extended to 11th of May
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DATA:SEARCH’18 Overview
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As more and more data becomes available on the web, searching for it becomes an increasingly important, timely topic. The web hosts a whole range of new data species, published in structured and semi-structured formats - from web markup using schema.org and web tables to open government data portals, knowledge bases such as Wikidata and scientific data repositories. Just like any other resources on the web, data benefits from network effects - it becomes more useful, and creates more value, when it is discoverable.

The opportunities to share and establish links between different perspectives on search and discovery for different kinds of data are significant and can inform the design of a wide range of information retrieval technologies, including search engines, recommender systems and conversational agents. We will seek contributions and encourage interactions to discuss how principles, techniques and experiences could be applied across research fields that have so far mostly pursued related data search questions in isolation. We see a large space for discussion and future research in the development of federated data discovery and search technologies, which leverages the most recent advances in information retrieval, Semantic Web and databases, and is mindful of human factors

The aim of the workshop is to be a venue to present and exchange ideas and experiences for discovering and searching all types of structured or semi-structured datasets and to discuss how concepts and lessons learned from academic search, entity search, digital libraries, and web search could be transferred to data search scenarios. This includes looking at the specifics of data-centric information seeking behavior, understanding interaction challenges in data search on the web, and analyzing the cognitive processes involved in the consumption of structured data by users. At the same time, we aim to discuss architectures and technologies for data search - including semantics and information retrieval for structured and semi-structured data (e.g., ranking algorithms and indexing), in particular in the context of decentralized and distributed systems such as the web. We are interested in approaches to analyze, characterize and discover data sources. We want to facilitate a discussion around data search across formats and domain-specific applications. We envision the workshop as a forum for researchers and practitioners from various disciplines to come together and discuss common challenges and identify synergies for joint initiatives.
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TOPICS OF INTEREST
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DATA:SEARCH’18 will seek application-oriented papers, as well as more theoretical papers, position papers and empirical studies. The workshop proposes a multidisciplinary discussion on the following themes, with a focus on search and discovery of RDF, CSV, JSON and other structured and semi-structured data sources:

Analyzing behavioral traces during data search
Approaches to personalization and contextualization in dataset search
Data indexing and profiling approaches
Data summarization
Dataset representation for retrieval (standards, models, workarounds)
Decentralized and distributed architectures and algorithms in data search
Deep linking of datasets
Entity recognition in datasets
Evaluation of dataset search tools and algorithms
Fusing, cleaning, ranking and re ning dataset search results
Information seeking behavior for data (interactive data retrieval)
Learning to rank for data search
Query routing taking into account relevance, quality and profiles of distributed datasets
Retrieval models for data search
Scalability and performance of distributed data queries
Search results presentation for datasets
Semantic dataset search
Systems and user studies in data search in vertical domains, including transport, geospatial data, science, weather etc.
Usability of data portals and data discovery tools
User modeling for data search
Visual and speech interfaces to datasets
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SUBMISSION GUIDELINES AND PROCEEDINGS
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We are interested in contributions using a variety of methods. This can include, for example, user studies, lab experiments, system-based evaluations, but also experiments using gamification and crowdsourcing.

We encourage short papers (4 pages), position papers (2 pages) as well as demo submissions (1 page plus online demo). Submissions of workshop papers must be in English, in PDF format, and should not exceed the appropriate length requirements in the current ACM two-column conference format. Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. We will follow a single-blind process with at least two reviewers per paper. Papers will be evaluated according to their significance, originality, technical content, style, clarity, relevance to the workshop, and likelihood of generating discussion.

Workshop proceedings will be published online in the CEUR workshop proceedings publication service.
All papers are to be submitted via EasyChair at https://easychair.org/conferences/?conf=datasearch18
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PRESENTATIONS
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Participants should be aware that we will not be having formal presentations of work and instead the format will be in the form of lightning talks followed by roundtable discussions.
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WORKSHOP ORGANISERS
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Paul Groth, Elsevier Labs
Laura Koesten, The Open Data Institute
Philipp Mayr, GESIS - Leibniz-Institute for the Social Sciences
Maarten de Rijke, University of Amsterdam
Elena Simperl, University of Southampton
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PROGRAMME COMMITTEE
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Alexander Kotov (Wayne State University)
Arjen de Vries (Radboud University Nijmegen)
Arno Scharl (Modul University Vienna)
Axel Polleres (Vienna University of Economics and Business)
Eva Méndez (Open research data)
Kuansan Wang (Microsoft)
Laura Dietz (University of New Hampshire)
Michael Gubanov (University of Texas, San Antonio)
Peter Haase (Metaphacts)
Steffen Lohmann (Fraunhofer IAIS)

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