2nd International Workshop on EntitY REtrieval (EYRE '19)

co-located with CIKM 2019

03 November 2019 Beijing, China

An analysis of real query logs from a commercial search engine shows that the intention of more than half of Web queries is to find a particular entity, or entities of a particular type. This problem of entity retrieval, or more generally, semantic search, has received increasing research attention from both the Information Retrieval (IR) and Semantic Web communities. Beyond the traditional text-based retrieval problem, the recent surge in entity-centered structured data on the Web such as Wikidata enables more powerful entity retrieval solutions, but also brings new challenges. This hybrid of unstructured and structured retrieval has led to diversified research from not only the IR community but also researchers and practitioners in the areas of Database, Semantic Web, and Artificial Intelligence (AI). This workshop series provides a platform where interdisciplinary studies of entity retrieval can be presented, and focused discussions can take place.

We also organize two shared tasks related to entity retrieval, in order to assess strengths and weaknesses of existing systems, compare performance of techniques, and enhance communication among researchers and developers.

Theme and Topics

We welcome contributions related to any aspect of entity retrieval and semantic search, including theories, algorithms, experiments, and applications. Relevant topics include but are not limited to the following:

  • Queries and query analysis
    • Entity-centered query understanding
    • Entity-centered query reformulation
    • Entity-centered query suggestion
    • Entity-centered query log analysis
  • Retrieval models and ranking
    • Models for entity retrieval
    • Entity and fact ranking
    • Entity filtering and recommendation
    • Indexing entity-centered big data
  • User behaviour and interfaces (proactive or reactive presentations)
    • User models for entity search
    • Interactive and personalized entity search
    • Entity summarization and information/knowledge cards
    • Visualization of entity-centered information
  • Retrieval at the Web and big data scale
    • Entity discovery and crawling
    • Entity linking and information extraction
    • Entity matching and data integration
    • Entity search engines
  • Entity retrieval and artificial intelligence
    • Entity retrieval with knowledge graphs
    • Deep learning for entity retrieval
    • Natural language processing for entity retrieval
    • Entity retrieval for question answering
  • Domain-specific applications
    • Local, mobile, and enterprise entity search
    • Social networks in entity search
    • Multimedia entity search
    • Entity retrieval for domains and applications

Submission Guidelines

Manuscripts should be submitted electronically, as PDF formatted using the ACM camera-ready templates; please use sample-sigconf.tex as the template. Submissions are reviewed in a single-blind manner. Papers should be submitted through the EYRE '19 online submission system.

  • Full research, empirical-study, industry papers: 6-8 pages
  • Short, position, case-study, demo papers: 2-4 pages

The workshop proceedings will be published as a CEUR proceedings volume. At least one author of each accepted paper is expected to attend the workshop and present.

Important Dates

  • Submission: 26 July 2019 (Anywhere on Earth)
  • Notification: 17 August 2019
  • Camera-ready: 31 August 2019

Shared Tasks

We also organize two shared tasks: entity summarization and entity search. Selected papers will be included in the workshop proceedings.


Programme Committee

  • Stefan Dietze, GESIS - Leibniz Institute for the Social Sciences
  • Andre Freitas, University of Manchester
  • Naeemul Hassan, University of Mississippi
  • Aidan Hogan, Universidad de Chile
  • Evgeny Kharlamov, University of Oslo
  • Takahiro Komamizu, Nagoya University
  • Kouji Kozaki, Osaka Electro-Communication University
  • Qingxia Liu, Nanjing University
  • Bo Ma, Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences
  • David Martin, Samsung
  • Shahrzad Naseri, University of Massachusetts, Amherst
  • Peter Patel-Schneider, Samsung
  • Dezhao Song, Thomson Reuters
  • Marcin Sydow, Polish-Japanese Academy of Information Technology
  • Krishnaprasad Thirunarayan, Wright State University
  • OndÅ™ej Zamazal, University of Economics, Prague
  • Xiang Zhang, Southeast University
  • Lihua Zhao, Accenture
  • ... (and more)