Abstract
Professional search in specific domains (e.g. patent, medical, scientific literature, media) usually needs an exploratory type of search which is characterized more often, in comparison to fact finding and question answering web search, by recall-oriented information needs and by uncertainty and evolution or change of the information need. Additionally, the complexity of the tasks that need to be performed by professional searchers, which usually include not only retrieval but also information analysis and monitoring tasks, require association, pipelining and possibly integration of information as well as synchronization and coordination of multiple and potentially concurrent search views produced from different datasets, search tools and UIs. Many facets of IR technology (e.g. exploratory search, aggregated search, federated search, task-based search, IR over query sessions, cognitive IR approaches, Human Computer and Information Retrieval) aim to at least partially address these demands. This workshop aims to stimulate exploratory research, bring together various facets of IR research and promote discussion between researchers towards the development of a generalised framework facilitating the integration of IR technologies and search tools into next generation professional search systems. This envisioned framework should be supported from new or the extension of existing protocols and may influence the design of next generation professional search systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Salampasis, M., Fuhr, N., Hanbury, A., Lupu, M., Larsen, B., Strindberg, H. (2013). Integrating IR Technologies for Professional Search. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_108
Download citation
DOI: https://doi.org/10.1007/978-3-642-36973-5_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36972-8
Online ISBN: 978-3-642-36973-5
eBook Packages: Computer ScienceComputer Science (R0)