- From: Jaap Kamps <kamps@uva.nl>
- Date: Tue, 25 Feb 2014 23:58:21 +0100
- To: semantic-web@w3.org
The workshop program of the SIGIR’14: 37th Annual ACM SIGIR Conference, Gold Coast, Australia, 6-11 July, 2014 <http://sigir.org/sigir2014/> will host seven attractive workshops covering novel ideas and emerging areas in IR: * ERD’14: Entity Recognition and Disambiguation Challenge http://web-ngram.research.microsoft.com/ERD2014/ The Entity Recognition and Disambiguation Workshop will be organized as a challenge, where participants submit working systems that identify the entities mentioned in text. The challenge will have two tracks, focusing on long and short texts. All submissions will be evaluated on shared datasets; part of the data will be withheld, to be used for the final evaluation of all submitted systems to determine the winners. Each participating team will be offered a spot at the workshop to present their system. David Carmel, Yahoo! Research Ming-Wei Chang, Microsoft Research Evgeniy Gabrilovich, Google Bo-June (Paul) Hsu, Microsoft Research Kuansan Wang, Microsoft Research * GEAR’14: Gathering Efficient Assessments of Relevance Workshop https://sites.google.com/site/sigirgear/ Evaluation is a fundamental part of Information Retrieval, and in the conventional Cranfield evaluation paradigm, sets of relevance assessments are a fundamental part of test collections. In this workshop, we wish to revisit how relevance assessments can be efficiently created. Potential themes include methods for generating assessments, the process of assessment, effort involved in assessing different materials, exploration of the concept of relevance etc. A discussion and exploration of this issue will be facilitated through the presentation of results based papers and position papers on the topic, as well as a group design activity. Martin Halvey, Glasgow Caledonian University Robert Villa, University of Sheffield Paul Clough, University of Sheffield * MedIR’14: Medical Information Retrieval Workshop http://medir.dcu.ie/ Medical information is accessible from diverse sources including the general web, social media, journal articles, and hospital records; users include patients and their families, researchers, practitioners and clinicians. Challenges in medical information retrieval include: diversity of users and user ability; variations in the format, reliability, and quality of biomedical and medical information; the multimedia nature of data; and the need for accuracy and reliability. The aim of the workshop is to bring together researchers interested in medical information search with the goal of identifying specific challenges that need to be addressed to advance the state-of-the-art. Eiji Aramaki, Kyoto University, Japan Lorraine Goeuriot, Dublin City University, Ireland Gareth JF Jones, Dublin City University, Ireland Liadh Kelly, Dublin City University, Ireland Henning Müller, University of Applied Sciences Western Switzerland Justin Zobel, University of Melbourne, Australia * PIR’14: Privacy-Preserving IR Workshop — When Information Retrieval Meets Privacy and Security http://www.cs.georgetown.edu/~huiyang/sigir2014-pir-workshop/ Information retrieval and information privacy/security are two fast-growing computer science disciplines. There are many synergies and connections between these two disciplines. However, there have been very limited efforts to connect the two. On the other hand, due to lack of mature techniques in privacy-preserving IR, concerns about privacy and security have become serious obstacles that prevent valuable user data to be used in IR research such as studies about query logs, social media, tweets, sessions, and medical record retrieval. This privacy-preserving IR workshop aims to spurring research brings together the research fields of IR and privacy/security, and mitigate privacy threats in information retrieval by exploring novel algorithms and tools. Luo Si (Purdue University, USA) Grace Hui Yang (Georgetown University, USA) * SMIR’14: Semantic Matching in Information Retrieval http://smir2014.noahlab.com.hk Recently, significant progress has been made in research on what we call semantic matching (SM), in Web search, question answering, online advertisement, cross language information retrieval, multimedia retrieval, and other tasks. Let us take Web search as example of the problem. When comparing the textual content of query and documents, the simple term-based approaches can fail when searcher and author use different terms. A more realistic approach beyond bag-of-words, referred to as semantic matching (SM), is to conduct deeper query and document analysis to encode text with richer representations and then perform query-document matching with such representations. The main purpose of the workshop is to bring together IR and NLP researchers working on or interested in semantic matching, to share latest research results, express opinions on the related issues, and discuss future directions. Julio Gonzalo, UNED, Spain Hang Li, Noah's Ark Lab, Huawei, Hong Kong Alessandro Moschitti, Qatar Computing Research Institute, Qatar Jun Xu, Noah's Ark Lab, Huawei, Hong Kong * SoMeRA’14: Social Media Retrieval and Analysis Workshop http://www.cp.jku.at/conferences/SoMeRA2014/ The SoMeRA 2014 workshop will present and discuss cutting edge research on all topics of retrieval, recommendation, and browsing in social media, as well as on the analysis of user's multifaceted traces in social media. In particular, novel methods and ideas that address challenges such as large quantity and noisiness of user-generated multimedia data, user biases, cold-start problem, or integrating contextual aspects into retrieval and recommendation techniques are highly welcome. The workshop will further foster the exchange of ideas between different communities, in particular it aims at better connecting the multimedia and recommender systems communities with the information retrieval community. The workshop will feature both oral presentations (full papers) and poster/demo presentations (short papers). Markus Schedl, Johannes Kepler University, Austria Peter Knees, Johannes Kepler University, Austria Jialie Shen, Singapore Management University, Singapore * TAIA’14: Temporal, social and spatially Aware Information Access Workshop http://research.microsoft.com/en-us/people/milads/taia2014.aspx Users provide an unprecedented volume of detailed, and continuously updated information about where they are, what they are doing, who they are with, and what they are thinking and feeling about their activities. The provision of this stream creates an informal contract between the user and the information access application in which the user will provide the information, but the application must provide results that are contextually relevant. In this workshop we explore spatial and temporal context in dynamic geotagged collections, such as Wikipedia, and traditional news sources, as well as social media sites such as Twitter, Foursquare, Facebook and Flickr. To ground the workshop, and provide a locus for discussion of the two aspects of user context, we focus on event detection and recommendation. Events are a natural theme around which to center discussions of spatial and temporal context because events are defined by their time and place. Fernando Diaz, Microsoft Research Claudia Hauff, Delft University of Technology Vanessa Murdock, Microsoft Maarten de Rijke, University of Amsterdam Milad Shokouhi, Microsoft Please look at the individual websites for the calls, and deadlines — and participate in the discussion on the SIGIR’14 workshop day, on Friday 11 July 2014, in the beautiful scenery of Gold Coast, Queensland, Australia.
Received on Tuesday, 25 February 2014 22:58:50 UTC