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First Call for Papers

SWAIE 2012: Semantic Web and Information Extraction
http://semanticweb.cs.vu.nl/swaie2012/

Full-day workshop in conjunction with EKAW 2012

*Submission deadline*: Tuesday, 31 July 2012
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INTRODUCTION

There is a vast wealth of information available in textual format
that the Semantic Web cannot yet tap into: 800f data on the Web
and on internal corporate intranets is unstructured, hence
analysing and structuring the data - social analytics and next
generation analytics - is a large and growing endeavour. The goal
of the 1st workshop on Semantic Web and Information Extraction is
to bring researchers from the fields of Information Extraction
and the Semantic Web together to foster inter-domain
collaboration. To make sense of the large amounts of textual data
now available, we need help from both the Information Extraction
and Semantic Web communities. The Information Extraction
community specialises in mining the nuggets of information from
text: such techniques could, however, be enhanced by annotated
data or domain-specific resources. The Semantic Web community has
already taken great strides in making these resources available
through the Linked Open Data cloud, which are now ready for
uptake by the Information Extraction community. The workshop
invites contributions around three particular topics: 1) Semantic
Web-driven Information Extraction, 2) Information Extraction for
the Semantic Web, and 3) applications and architectures on the
intersection of Semantic Web and Information Extraction.

MOTIVATION

The Semantic Web aims to add a machine tractable, repurposable
layer to complement the existing web of natural language
hypertext. In order to realise this vision, the creation of
semantic annotation, the linking of Web pages to ontologies and
the creation, evolution and interrelation of ontologies must
become automatic or semi-automatic processes. Information
Extraction, a form of natural language analysis, is becoming a
central technology to link Semantic Web models with documents. On
the other hand, traditional Information Extraction can be
enhanced by the addition of semantic information, enabling
disambiguation of concepts, reasoning and inference to take place
over the documents. The primary goal of this workshop is to
advance the understanding of the relationship between Information
Extraction and Semantic Web. With the adoption of the Web 2.0
paradigm, these technologies further face new challenges because
of their inherent multi-source nature, while the rapidly
increasing use of social media also brings a new set of problems
in dealing with degraded forms of text such as incorrect grammar,
spelling and so on. Information Extraction now has to deal not
just with isolated texts or single narratives but with large
scale repositories or sources -- in one or many languages --
containing a multiplicity of views, opinions, or commentaries on
particular topics, entities or events, in very diverse styles and
formats. New methods and tools thus need to be developed to deal
with the changing face of data and the changing needs of society.
Furthermore, traditional platforms and architectures for
Information Extraction are not necessarily capable of smooth
handling of the transition to more semantic forms of annotation.
While language analysis tools may not require sophisticated
ontology handling mechanisms, the ensuing lack of
interoperability can be problematic when embedding such tools and
platforms in Semantic Web architectures.

INTENDED AUDIENCE

Participants will come from various areas of research that are
represented in the Semantic Web and Information Extraction
communities such as: artificial intelligence, ontology
population, data mining, machine learning, knowledge
representation, and web information systems. Some participants
will probably be especially interested in particular application
areas, such as the biomedical domain, government, cultural
heritage, or entertainment.

WORKSHOP TOPICS

We welcome high-quality papers about current trends in the areas
listed in the following, non-exhaustive list of topics. We will
seek application-oriented, as well as more theoretical papers and
position papers. Each submission should explicitly address one or
more of the three main topics. In addition to presenting specific
results, the paper should discuss the more general implications
for the topics and/or subtopics that it addresses. Where
feasible, contributions should include a system demonstration
that illustrates the key ideas of the work and encourages
interactive discussion at the workshop. There will also be an
opportunity to present late-breaking work or novel ideas as a
2-minute lightning talk during the afternoon; these topics may be
the stimulus for further debate during the open discussion
period.

1. Semantic Web-driven Information Extraction  Integrating
   ontologies/Linked Open Data with Language Resources 
   Enriching Information Extraction systems with Semantic Web
   data/technologies  Complex Semantic Web-driven Information
   Extraction tasks e.g., relation extraction, event extraction 
   Methods and metrics for evaluation of semantic annotations
   with respect to ontologies  Incorporating semantics into
   Machine Learning approaches  Recognition and representation
   of temporal information and dynamics  Data aggregation,
   consolidation and enrichment

2. Information Extraction for the Semantic Web  Extraction from
   unstructured versus semi-structured textual sources  Dealing
   with the imperfections of Information Extraction techniques in
   the Semantic Web setting and their impact  Multi-source or
   multilingual Information Extraction for ontology population 
   Information extraction subtasks (e.g., terminology extraction,
   relation extraction, coreference resolution) for the Semantic
   Web  Methods and metrics for evaluation of Information
   Extraction for the Semantic Web

3. Applications and Architecture  Ontology-based Information
   Extraction for specific domains and applications, e.g.
   business analytics, healthcare and biomedicine, cultural
   heritage etc.  Information Extraction for social media mining
    Scalability of tools and resources  Platforms and
   architectures for automatic and semi-automatic semantic
   annotation  Tools and methodologies for building and managing
   complex processing workflows

IMPORTANT DATES

Deadline for paper submission: 31 July 2012 Notification of
acceptance/rejection: 1 September 2012 Deadline for camera-ready
version: 18 September 2012 Deadline for lightning talk abstracts:
1 October 2012 Workshop: 8 or 9 October 2012

SUBMISSIONS

Submissions should explicitly address one or more of the three
main workshop topics and not exceed 12 pages. In addition to
presenting specific results, the paper should discuss the more
general implications for the questions that it addresses.
Abstracts for lightning talks should describe ongoing or
late-breaking work concerning one or more of the three main
workshop topics and should not exceed 2 pages. The abstracts will
be reviewed lightly by the organising committee for
appropriateness to the workshop and published on the workshop
website.

All submissions must be in PDF format and must follow the LNCS
style
(http://www.springer.com/computer/lncs/lncs+authors?SGWID=0-40209-0-0-0)
Contributions must be submitted through the SWAIE 2012 Workshop
EasyChair page
(http://www.easychair.org/conferences/?conf=swaie2012).

Please direct any questions regarding the workshop to
swaie2012_(at)_easychair.org

ORGANISING COMMITTEE

Diana Maynard, University of Sheffield Marieke van Erp, VU
University Amsterdam Brian Davis, DERI Galway

PROGRAMME COMMITTEE

Matje van de Camp, Tilburg University, The Netherlands Christian
Chiarcos, Information Sciences Institute, USA Hamish Cunningham,
University of Sheffield, UK Thierry DeClerck, DFKI, Germany
Robert Engels, Western Norwegian Research Institute, Norway Phil
Gooch, City University London, UK Siegfried Handschuh, DERI,
Ireland Dirk Hovy, Information Sciences Institute, USA Laurette
Pretorius, University of South Africa, South Africa Piek Vossen,
VU University, The Netherlands Marie Wallace, IBM Dublin, Ireland
René Witte, Concordia University, Montreal, Canada Milena Yankova
- Doseva, Ontotext, Bulgaria

--
VU University Amsterdam Faculty of Sciences De Boelelaan 1081a,
Room U334 1081 HV Amsterdam The Netherlands Tel: +31 20 598 7449
Fax: +31 20 598 7728 http://www.cs.vu.nl/~marieke

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