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Subject: [ E-CFP ] CfP: Semantic Web and Information Extraction 2013
From: <marieke.van.erp_(on)_vu.nl>
Date received: 27 Mar 2013
Deadline: 03 Jul 2013
Start date: 12 Sep 2013

First Call for Papers

SWAIE 2013: Semantic Web and Information Extraction

Full-day workshop in conjunction with RANLP 2013

Deadline: 3 July 2013, 23:59 Hawaii Time


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 2nd 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.


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.


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.


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

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

         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


Workshop papers submission deadline: 3 July 2013 Workshop paper
acceptance notification: 2 August 2013 Workshop camera-ready
copies due: 16 August 2013 Workshops: 12-13 September 2013


Submissions should explicitly address one or more of the three
main workshop topics and not exceed 8 pages including references.
In addition to presenting specific results, the paper should
discuss the more general implications for the questions that it
addresses. The workshop proceedings will be published online
through http://ceur-ws.org/. 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

All submissions must be in PDF format and must follow the RANLP
template (http://lml.bas.bg/ranlp2013/submissions.php#styles)
Contributions must be submitted through the SWAIE 2013 Workshop
EasyChair page

Please direct any questions regarding the workshop to


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

Computational Lexicology & Terminology Lab (CLTL) The Network
Institute, VU University Amsterdam

Room 11A-26, De Boelelaan 1105 1081 HV Amsterdam, The Netherlands

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