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

[Matthew Kaufman]

Link

The Publishers Link for 2013 is blank; is that to be the case until Release?

Thanks!

Have been watching this list; great programs and open publishing from
everyone I have seen in organized participation on the list.

Matt Kaufmab

On Friday, December 21, 2012, Peter Murray-Rust wrote:

>
>
> On Thu, Dec 20, 2012 at 9:28 AM, Jenny Molloy <jcmcoppice12 at gmail.com<javascript:_e({}, 'cvml', 'jcmcoppice12 at gmail.com');>
> > wrote:
>
>> Hi All
>>
>> Just a nudge to see if anyone be interested in writing a chapter from the
>> working group, given we have several people with an interest in text
>> mining? If so, express your interest here soon as the abstract deadline is
>> 24 December!
>>
>
> I am interested but need poking...
>
> P.
>
>
>
> Jenny
>
>
> On Fri, Dec 7, 2012 at 11:41 AM, Peter Murray-Rust <pm286 at cam.ac.uk>wrote:
>
> 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 schedu
>
>
>
>
> --
> 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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