• Aucun résultat trouvé

First International Workshop on Professional Search – Preface

N/A
N/A
Protected

Academic year: 2022

Partager "First International Workshop on Professional Search – Preface"

Copied!
2
0
0

Texte intégral

(1)

First International Workshop on Professional Search

Preface

Suzan Verberne Leiden University s.verberne@liacs.leidenuniv.nl

Jiyin He Signal Media jiyinhe@acm.org

Udo Kruschwitz University of Essex

udo@essex.ac.uk Birger Larsen

Aalborg University birger@hum.aau.dk

Tony Russell-Rose 2dSearch, Guildford

tgr@uxlabs.co.uk

Arjen P. de Vries Radboud University

arjen@acm.org

Introduction

Professional search is a problem area in which many facets of information retrieval are addressed, both system- related (e.g. distributed search) and user-related (e.g. complex information needs), and the interface between user and system (e.g. supporting exploratory search tasks). Professional search tasks have specific requirements, different from the requirements of generic web search.

Program

The workshop addresses these requirements from multiple angles; covering many different facets of professional search. The workshop is a mix of keynotes, short oral presentations, and a break-out session in which there is time to focus the discussion on specific topics. As keynote speakers, we have Paul Bennett (Microsoft Research), on “Search and Recommendation in the Enterprise”, and David D. Lewis (Brainspace) on “Research Challenges in IR for Legal Discovery and Investigations”. We accepted six papers for short oral presentations.

We actively involved the target group of our research in the preparation of the workshop by distributing a survey in the months before the workshop. We defined the target group as “everyone who regularly performs complex search tasks at work in environments other than general web search”. This includes information spe- cialists in various domains, but also librarians, scientists, lawyers, and other knowledge worker professions. The aim of the survey to gather the experiences of these professional searchers: which systems do they use, what do they like about them, what functionalities do they miss, and what aspects/challenges do they think should be on the research roadmap for professional search. The survey had 113 responses. The workshop starts with a presentation of the results from the survey (prepared by the organizers), and the collected requirements are further addressed in the breakout session.

Intended outcome

Intended outcome of the workshop is a research roadmap and workshop report for SIGIR Forum in which the outcome of the survey, the presentations and discussions in this workshop are summarized. This way, we will draw the research community’s attention to the importance of professional search as research domain.

Copyrightc by the paper’s authors. Copying permitted for private and academic purposes.

In: Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH18). Co-located with SIGIR 2018, Ann Arbor, Michigan, USA – 12 July 2018, published at http://ceur-ws.org

1

(2)

Organization

Program committee

Allan Hanbury, Charlie Hull, David Elsweiler, Diane Kelly, Elaine Toms, Farhad Shokraneh, Jaap Kamps, Julie Glanville, Krisztian Balog, Laura Dietz, Martin White, Michail Salampasis, Mihai Lupu, Norbert Fuhr, Peter Cotroneo, Ray Daley, Rene Spijker.

Organisers

• Jiyin He, Signal Media, UK

• Udo Kruschwitz, University of Essex, UK

• Birger Larsen, Aalborg University, Denmark

• Tony Russell-Rose, 2dSearch, Guildford, UK

• Suzan Verberne, Leiden University, the Netherlands

• Arjen P. de Vries, Radboud University, the Netherlands

2

Références

Documents relatifs

While gamification rightfully points out that paid crowdsourcing is not the only viable option for harnessing crowd labour, it is still merely another concrete instantiation of

In Proceedings of the first international work- shop on Supporting Complex Search Tasks, volume 1338 of CEUR Workshop Proceedings. Navigat- ing Controversy as a Complex

We found that (1) the utilization of security features in enterprise repositories, (2) the adaptation of resource description and resource selec- tion for enterprise model, and

To extract relevant information with respect to the se- lected categories, we extend the co-occurrence graph in QSB by integrating two types of relations, including the relation-

We use a large collec- tion of book descriptions from Amazon and LT , which contain both professional metadata and user-generated content ( UGC ), and com- pare book suggestions on

We present a novel method for summarization and expan- sion of search facets. To dynamically extract key facets, the ranked list of search results generated from a keyword search

The second false contrast is between the opaque and implicit statistical machine learning which underlies much modern web searching and the explicit knowledge representations

User data such as previous queries or snippets of visited web pages are automatically mapped to the terminology of the ontology. The resulting profiles are in most studies used