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

*Call For Papers*

DATA:SEARCH - International Workshop on Searching Data on the Web
In conjunction with SIGIR’2018
12th July 2018 Ann Arbor, Michigan, USA
https://datasearch-ws.github.io/2018/

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IMPORTANT DATES
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Workshop papers due: May 4, 2018
Workshop paper notifications: May 25, 2018
Camera-ready deadline for workshop papers: June 8, 2018
Workshop Day: July 12, 2018
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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, empirical studies and demos. 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)