---------- Forwarded message ----------
Date: 19 Nov 2009 11:22:30 -0500
From: Ben Satchwell <ben@...>

I hope you're well. I am currently in the process of organizing the 6th
Annual Text Analytics Summit and I wanted to make sure that you were the
first to know about it!

This event is the premier meeting place for the text analytics industry
where text mining experts will be talking about how to exploit the
opportunities available in unstructured data today.

Date for your diary: 25 - 26 May 2010, Radisson Hotel, Boston

We're currently in the process of researching the agenda and organizing
the speaker recruitment -- if you wish to be involved please get in touch
by responding to this email.

Sign up here to be one of the first to receive the e-brochure when it's
launched in early 2010:
http://www.textanalyticsnews.com/text-mining-conference/brochure.shtml

Plus, if you are interested in branding & business development
opportunities contact myself on +(1) 800 814 3459 x 7163 or
ben@...

If you want any more info, then the website's here:
http://www.textanalyticsnews.com/text-mining-conference/index.shtml . If
you'd like to ask me any questions, just drop me an email.

I look forward to seeing you in Boston in May!

Kind Regards,

Ben Satchwell
Text Analytics News

SECOND CALL FOR CHAPTERS
(Proposals Submission Deadline: 15 DECEMBER 2009)

Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent
Advances

A book edited by Wilson Wong, Wei Liu and Mohammed Bennamoun
University of Western Australia, Australia
http://explorer.csse.uwa.edu.au/editedbook

Introduction
================================================================================\
========
Ontologies provide formal specifications of what might exist in a domain to
ensure reusability and interoperability of multiple heterogeneous systems.
Ontologies form an indispensable part of the Semantic Web standard stack. While
the Semantic Web is still our vision into the future, ontologies have already
found a myriad of applications such as document retrieval, question answering,
image retrieval, agent interoperability and document annotation. In recent
years, automatic ontology learning from text has provided support and relief for
knowledge engineers from the labourious task of manually engineering of
ontologies. Ontology learning research, an area integrating advances from
information retrieval, text mining, data mining, machine learning and natural
language processing, has attracted increasing interests from a wide spectrum of
application domains (e.g. bioinformatics, manufacturing). Being a rapidly
growing area, it is crucial to collect the recent advances in tools and
technologies in ontology learning and related areas.

Objective Of The Book
================================================================================\
========
The main objective of this book is to provide relevant theoretical foundations,
and disseminate new research findings and expert views on the remaining
challenges in ontology learning. In particular, the book focuses on the
following questions:
# Can ontology learning continue to rely on techniques borrowed from related
areas that were conceived for other purposes? Has the time arrived for us to
look at certain peculiar requirements of ontology learning and develop specific
techniques to meet these requirements?
# Lightweight ontologies are the most common type of ontologies in a variety of
existing Semantic Web applications (e.g. knowledge management, document
retrieval, communities of practice, data integration). Can these lightweight
ontologies be easily extended to formal ones? If so, how?
# The poor coverage, rarity and maintenance cost related to manually-created
resources such as semantic lexicons (e.g. WordNet, UMLS) and text corpora (e.g.
BNC, GENIA corpus) have prompted an increasing number of researchers to turn to
dynamic Web data for ontology learning. There is currently a lack of study
concentrating on the systematic use of Web data as background knowledge for all
phases of ontology learning. How do we know if we have the necessary background
knowledge to carry out all our ontology learning tasks? Where do we look for
more background knowledge if we know that what we have is inadequate?
# More and more practitioners in the domain of biology, health care, chemistry,
manufacturing, etc are looking up to ontology learning techniques for solutions
to their knowledge sharing and reusability needs. How much more difficult is it
to automatically learn ontologies from news articles, as compared to clinical
notes or biomedical literature? To what extent can the current techniques meet
the requirements of learning from texts across different domains? Is the field
of automatic ontology learning from text ready for the industry?

Target Audience
================================================================================\
========
This proposed book will be an invaluable resource as a library or personal
reference for a wide range of audience, including, graduate students,
researchers and industrial practitioners. Postgraduate students who are in the
process of looking for future research directions, and carving out their own
niche area will find this book particularly useful. Due to the detailed scope
and wide coverage of the book, it also has the potential of being an upper-level
course supplement for senior undergraduate students in Artificial Intelligence,
and a resource for lecturers in Knowledge Acquisition, Knowledge Representation
and Reasoning, Text Mining, Information Extraction, and Ontology Learning.

Recommended Topics Include, But Are Not Limited To
================================================================================\
========
Area 1: Text Processing
# Web data pre-processing
# Noisy text analytics
# Text annotation/Sentence parsing
# Textual content extraction/Boilerplates removal
# Automatic corpus construction

Area 2: Taxonomy Construction/Concept Formation
# Named entity recognition/noun phrase chunking
# Feature-based/featureless similarity and distance measures
# Term recognition/term extraction/terminology mining
# Cluster analysis/term clustering
# Entity disambiguation
# Relevance/contrastive analysis
# Latent semantic analysis
# Other machine learning-based techniques
# Other corpus-based techniques

Area 3: Relation and Axiom Discovery/Ontology Languages
# Lexico-syntactic patterns
# Use of dynamic Web data (e.g. Wikipedia mining, online dictionaries)
# Sub-categorisation frames
# Association rules mining
# Inductive logic programming
# Other corpus-based techniques
# Logic-based/frame-based/markup ontology languages

Area 4: Applications of Ontologies
# Bioinformatics
# Risk management
# Manufacturing
# Health care
# Other relevant application areas

Submission Procedure
================================================================================\
========
Researchers and practitioners are invited to submit on or before 15 DECEMBER
2009, a 2-3 page chapter proposal clearly explaining the mission and concerns
together with a tentative organisation (i.e. section titles with section
summaries) of their proposed chapter. Authors of accepted proposals will be
notified by 15 JANUARY 2010 about the status of their proposals. Authors of
accepted proposals will be sent guidelines and templates to prepare the full
chapter of 8,000 - 10,000 words. Full chapters are expected to be submitted by
15 MARCH 2010. All submitted full chapters will be reviewed on a double-blind
review basis. All proposals and chapters should be typewritten in English in APA
style and be submitted in Microsoft Word® format to wilson@....
Unfortunately, LaTex files cannot be accepted. Contributors may also be
requested to serve as reviewers for this project. This book is scheduled to be
published by IGI Global (formerly Idea Group Inc.). For additional information
regarding the publisher, please visit
http://www.igi-global.com/requests/details.asp?ID=724. This publication is
anticipated to be released late 2010.

Important Dates
================================================================================\
========
15 DECEMBER 2009 Proposal Submission Deadline
15 JANUARY 2010 Notification of Acceptance
15 MARCH 2010 Full Chapter Submission
15 JULY 2010 Review Results Returned
15 AUGUST 2010 Final Chapter Submission

Editorial Advisory Board Members
================================================================================\
========
Dr Christopher Brewster, Aston University, UK
Associate Professor Chunyu Kit, City University of Hong Kong, Hong Kong
Professor Mary-Anne Williams, University of Technology Sydney, Australia
Professor Philipp Cimiano, University of Bielefeld, Germany
Professor Sophia Ananiadou, University of Manchester, UK
Professor Tharam Dillon, Curtin University of Technology, Australia
Dr Venkata Subramaniam, IBM India Research, India

Inquiries and Submissions
================================================================================\
========
Wilson Wong
School of Computer Science and Software Engineering
M002 University of Western Australia
35 Stirling Highway
CRAWLEY 6009 WA
Australia
Fax: +61-8-6488-1089
E-mail: wilson@...
Up-to-date information about this call is available at
http://explorer.csse.uwa.edu.au/editedbook

---------- Forwarded message ----------
Date: Tue, 17 Nov 2009 10:02:32 -0600
From: Sourav S Bhowmick  <assourav@...>
To: dbworld@...

Nanyang Technological University (NTU) is a leading fast growing
research-intensive university in Singapore with 20,000 undergraduates and 8,700
graduate students from across the globe. Today, we are ranked among the top 25
technology universities in the world and well within the top 100 among
comprehensive universities. The Department of Information Systems at the School
of Computer Engineering, invites applications from outstanding candidates for a
full-time tenure track position at the Assistant/Associate Professor rank. We
are seeking  applicants to conduct research in any one of the following areas.

* Text Mining
* Service Computing
* Intelligent Agents

Involvement in teaching at all levels is expected. Successful candidate is also
expected to provide service to the department, campus, and  community.

Candidates must have a Ph.D. in Computer Science or a closely related field, an
ongoing research program, and a record of extramural funding (if applying for
Associate Professor level). Candidates must demonstrate evidence of potential
for excellence in undergraduate teaching and evidence of potential for
interdisciplinary collaborative research and/or teaching. Evidence of potential
for undergraduate student involvement in research and/or internships is desired.

Deadline: March 15, 2010; Application screening will begin immediately and
continue until the position is filled. Send a letter of application, CV,
graduate transcripts, and statements about teaching and research interests and
arrange to have three letters of recommendation sent to:

Sourav S Bhowmick,
Chair, Faculty Search Committee
Blk N4, #2A-32, School of Computer Engineering,
Nanyang Technological University,
Nanyang Avenue,
Singapore 639798

The candidate can also email the application to assourav@....

Please feel free to contact me if you have any further queries.

---------- Forwarded message ----------
Date: Tue, 10 Nov 2009 10:37:03 +0000
From: Sophia Ananiadou <Sophia.Ananiadou@...>
To: "bionlp@..." <bionlp@...>
Subject: [BioNLP] Text Mining for Scholarly Communications and Repositories
      workshop

Slides of the presentations of the Text Mining for Scholarly
Communications and Repositories workshop are now available to download. A
few talks concern biomedical text mining.

http://www.nactem.ac.uk/tm-ukoln.php





=========================================================

Professor Sophia Ananiadou, School of Computer Science,

Director, National Centre for Text Mining,

Manchester Interdisciplinary Biocentre

University of Manchester

131 Princess Street, M1 7DN

www.nactem.ac.uk <http://www.nactem.ac.uk>

sophia.ananiadou@... <mailto:sophia.ananiadou@...>

tel: +44 161 306 3092

PA Paul Thompson paul.thompson@...
<mailto:paul.thompson@...>