Workshops

The workshop program of the SIGIR 2017 will host eight attractive workshops covering novel ideas and emerging areas in IR and beyond:


ATIR’17: Axiomatic Thinking for Information Retrieval and Related Tasks

Organizers:
Enrique Amigo (UNED), Hui Fang (University of Delaware), Stefano Mizzaro (University of Udine), ChengXiang Zhai (University of Illinois at Urbana-Champaign)

Abstract:
This is the first workshop on the emerging interdisciplinary research area of applying axiomatic thinking to information retrieval (IR) and related tasks. The ATIR workshop aims to help foster collaboration of researchers working on different perspectives of axiomatic thinking and encourage discussion and research on general methodological issues related to applying axiomatic thinking to IR and related tasks.

BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries

Organizers: 
Muthu Kumar Chandrasekaran (National University of Singapore), Kokil Jaidka (University of Pennsylvania), Philipp Mayr (GESIS)

Abstract:
The second BIRNDL workshop stimulates IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, text mining and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporates the third edition of the Computational Linguistics Scientific Summarization Shared Task.

CAIR’17: Conversational Approaches to Information Retrieval

Organizers:
Jaime Arguello (University of North Carolina at Chapel Hill), Lawrence Cavedon (RMIT University), Hideo Joho (University of Tsukuba), Filip Radlinski (Google), Milad Shokouhi (Microsoft)

Abstract:
Recent advances in commercial conversational services that allow naturally spoken and typed interaction, particularly for well-formulated questions and commands, have increased the need for more human-centric interactions in information retrieval. The CAIR workshop brings together academic and industrial researchers to create a forum for research on conversational approaches to search. A specific focus is on techniques that support complex and multi-turn user-machine dialogues for information access and retrieval, and multi-model interfaces for interacting with such systems.

ECOM’17: eCommerce

Organizers: 
Jon Degenhardt (eBay), Surya Kallumadi (Kansas State University), Maarten de Rijke (University of Amsterdam), Luo Si (Alibaba), Andrew Trotman (University of Otago), Xu Yinghui (Taobao)

Abstract:
The SIGIR Workshop on eCommerce serves as a platform for publication and discussion of Information Retrieval and NLP research & their applications in the domain of eCommerce. We bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce.  

KG4IR’17: Knowledge Graphs and Semantics for Text Retrieval and Analysis

Organizers: 
Laura Dietz (University of New Hampshire), Edgar Meij (Bloomberg), Chenyan Xiong (Carnegie Mellon University)

Abstract:
Large, publicly available knowledge graphs have given rise to many successful improvements on traditional information retrieval tasks such as ad hoc document retrieval.  We focus on the end-to-end utilization of knowledge graphs and semantics in text retrieval and other IR-related applications.  Our scope covers the acquisition, the alignment, and the utilization of knowledge graphs and semantic resources for the purpose of optimizing end-to-end performance of a system that responds to a user’s information need. Examples of such technologies and applications include entity ranking, entity linking, entity-based retrieval models, entity recommendation, document filtering, knowledge graph population, and more.

LIARR’17: Lucene for Information Access and Retrieval Research

Organizers: 
Leif Azzopardi (University of Strathclyde), Grant Ingersoll (Lucidworks), Jimmy Lin (University of Waterloo), Yashar Moshfeghi (University of Glasgow), Guido Zuccon (Queensland University of Technology)

Abstract:
The LIARR workshop brings together the community of researchers using Lucene, and its derivatives like Solr and Elasticsearch, and develop tools for IR research. There are three goals: First, create a development plan and common codebase for IR research with Lucene.  Second, implement various information retrieval methods in Lucene/Solr/Elasticsearch,  Third, evaluate the quality of such methods and models.  LIARR is not a traditional “mini conference”-style workshop but rather it is a hackathon for attendees to actually work with Lucene in a hands-on capacity. Presentations are meant as a tool for structuring and guiding the efforts of attendees. Hence, the workshop motto of: less yaking, more hacking.

Neu-IR’17: Neural Information Retrieval

Organizers: 
Nick Craswell (Microsoft), W. Bruce Croft (University of Massachusetts, Amherst), Jiafeng Guo (Chinese Academy of Sciences), Bhaskar Mitra (Microsoft), Maarten de Rijke (University of Amsterdam)

Abstract:
The Neu-IR workshop brings the neural IR community together to specifically address key challenges facing this line of research. The workshop requests the community to submit proposals on generating large scale benchmark collections, building a shared model repository, and standardizing frameworks appropriate for evaluating deep neural network models. In addition, the workshop provides a forum for the growing community of IR researchers to present their recent (published and unpublished) work involving (shallow or deep) neural network based approaches in an interactive poster session.

OKBQA’17: Open Knowledge Base and Question Answering 

Organizers: 
Key-Sun Choi (KAIST), Teruko Mitamura (CMU), Jin-Dong Kim (DBCLS), Axel-Cyrille Ngonga Ngomo (University of Leipzig), Piek Vossen (VU Amsterdam)

Abstract:
The Second OKBQA Workshop aims to join forces in the collaborative development of open frameworks for knowledge extraction and question answering, to share standards, and to foster the creation of an ecosystem of tools and benchmarks. Specific topics include natural language interfaces for the Web of Data and the construction of knowledge bases for question answering.