[open-science] Content-mining Fwd: FW: Call for chapters - Working with Text

[Peter Murray-Rust]

In case we want to contribute something

-----Original Message-----
From: Repositories discussion list [mailto:JISC-REPOSITORIES at JISCMAIL.AC.UK]
On Behalf Of Stephanie Taylor
Sent: 06 December 2012 16:36
To: JISC-REPOSITORIES at JISCMAIL.AC.UK
Subject: Call for chapters - Working with Text

Dear all,

please consider the following call for chapters; this work is part of JISC
horizon scanning activity in the area of text mining. Please also feel free
to pass on this call to any colleagues who might be interested but are not
subscribed to this list.

Regards,

Steph

----

Call for chapters
Working with text: Tools, techniques and approaches for text mining

Text mining tools and technologies have a long history in the repository
world, where they have been applied successfully for a variety of purposes.
These vary from pragmatic aims such as enabling document search and browse
facilities, linking related documents, identifying copies or facilitating
the deposit process, to support tools for academic research. The latter
category includes supporting research on the basis of a large body of
documents, facilitating access to and reuse of existing work, and
connecting the formal academic world with areas such as the traditional and
social media. The JISC have funded a number of projects and initiatives in
both areas, notably NaCTeM and the ResDis programme. Research areas as
diverse as biology, chemistry, sociology and criminology have seen
effective use made of text mining technologies.

However, the uptake and hence the impact of these tools has been uneven.
Several obstacles to development and deployment are frequently cited,
including the maturity, complexity, and in some instances cost of software
packages, as well as scarcity of relevant technical skills. Text mining
methods and tools can be fragile and complex, requiring significant set-up
time and effort. Projects making use of text mining may also suffer from
legal obstacles, such as copyright and intellectual property
considerations. The benefit to be gained from deployment of text-mining
tools in areas such as institutional repositories or as a research tool in
its own right may be difficult to predict without a costly pilot project.

Authors are invited to submit original, unpublished chapters describing
research in relevant areas and/or reviewing relevant literature and trends.

Topics of interest include, but are not limited to:

Discipline-specific research involving text-mining: bioinformatics,
chemistry, the social sciences, etc.
Techniques in text mining: sentiment analysis/subjectivity analysis,
opinion mining, affect analysis, metaphor analysis, etc.
Legal and ethical aspects of text mining/analysis.
Current developments in text mining.
Metadata extraction from document text, including formal and informal
metadata: ontology extraction, document indexing, document classification,
and evaluation of metadata quality.
Text mining for document categorization or summarization.
Text mining for information visualization Text mining over the social web:
community detection, timelines, etc.
Evaluation of text mining tools, open-source or commercial: case studies
and findings.
Procurement and evaluation of text mining tools.

Submission

Chapters of 4,500-9,000 words in length should be prepared in either Word
or LaTeX. As chapters will be reformatted during the publication process,
authors are advised to concentrate on content rather than formatting.
Please include any images/graphics as separate files; images/graphics
should be 300dpi or better and designed to be readable when printed in
greyscale.

Files should be submitted by email to Emma Tonkin <e.tonkin at ukoln.ac.uk>.
All submitted chapters will be reviewed on a double-blind review basis.

Important Dates/Deadlines

24-Dec-2012         Title/Abstract submission for preliminary approval
4 -Jan-2013        Author notification
11-Feb-2013        Manuscript submission deadline
24-Feb-2013        Author notification

Publisher

This book is scheduled to be published in 2013 by Chandos, a leading
international publisher with specialisms in Library Management, Information
Management, Social Media and the Web; it will be distributed in the United
States via the American Library Association. It will be available both as a
printed publication and as a freely available Open Access resource,
increasing the visibility of the final work. For additional information
regarding the publisher, please visit
http://www.woodheadpublishing.com/en/ChandosInfo.aspx.



-- 
Peter Murray-Rust
Reader in Molecular Informatics
Unilever Centre, Dep. Of Chemistry
University of Cambridge
CB2 1EW, UK
+44-1223-763069
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