Sixth Workshop on
Exploiting Semantic Annotations for Information Retrieval (ESAIR'13)
CIKM 2013, October 28, San Francisco
Submissions due: June 21
* Call for Papers
There is an increasing amount of structure on the Web as a result of
modern Web languages, micro-formats and linked data, user tagging and
annotation, and emerging robust NLP tools. These meaningful, semantic,
annotations hold the promise to significantly enhance information
access, by increasing the depth of analysis of today's systems.
Currently, we have only started exploring the possibilities and only
begin to understand how these valuable semantic cues can be put to
fruitful use. To complicate matters, standard text search excels at
shallow information needs expressed by short keyword queries, and here
semantic annotation contributes very little, if anything.
The main questions for the workshop are: How to make use of the
currently emerging knowledge resources (such as DBpedia, Freebase) as
underlying semantic model giving access to an unprecedented scope and
detail of factual information? How to include annotations beyond the
topical dimension (think of reading level, prerequisite level, content
credibility, transaction trustworthiness, freshness, genre, sentiment,
etc) that contain vital cues for matching the specific needs and profile
of the searcher at hand?
* Many Open Questions
The Workshop will bring together researchers working with semantic
annotations, its use cases, its sources (authoring to NLP tools), its
users, and its use in DB, IR, KM, or Web research, and work together on
a range of open questions:
Application/Use Case: What are use cases that make obvious the need for
semantic annotation of information? What tasks cannot be solved by
document retrieval using the traditional bag-of-words? What is keeping
searchers from exploring these powerful search request? What impact has
the web of data with more and more information in preprocessed form?
- Annotations: What types of annotation are available? Are there crucial
differences between author-, software-, user-, and machine-generated
annotations? Do we annotate types/classes/categories ("person") or
instances ("Albert Einstein")? How similar or different are linked data
and annotated text? What are the limitations of the current annotations
schemes, and how to overcome them?
- Rich Context: Do we annotate text? Or also search requests and
interactions, and their broader context? Besides personalization and
geo-positional information, mobiles have a wide and growing range of
locational, mechanical and even biometrical sensor data available to
them. Can kick-start the query by inferring task and situational context
in the mobile use case?
- (Un)certainty: How should we interpret the annotations? Can we
reliably link textual annotations to known entity catalogs? Can expect a
messy world to be captured in a clean set of meaningful categories? Or
is all information fundamentally uncertain and only partly known? How
can we fruitfully combine information retrieval and semantic web approaches?
These and other related questions will be discussed at this open format
workshop -- the aim is to provide paths for further research to change
the way we understand information access today!
* We Need Your Help!
Help us shape the future of information access by increasing the depth
of analysis of today's systems:
- Submit a short 2+1-page research or position paper explaining your key
wishes or key points,
- and take actively part in the discussion at the Workshop.
What's a 2+1 page paper? We like short and focused contributions
highlighting your main point, claim, observation, finding, experiment,
project, etc, (roughly 2 pages of mainly text) but we also like clear
tables, graphs, and full citations (that's the "+1" page). So your
submission can up three pages, as long as max. 2 of them are narrative text.
The deadline is Friday June 21, 2013, further submission details are on
We are looking forward to a productive, stimulating and fruitful
workshop day in the tradition of previous ESAIR workshops -- come join
Paul N. Bennett, Microsoft Research
Evgeniy Gabrilovich, Google
Jaap Kamps, University of Amsterdam
Jussi Karlgren, Gavagai Stockholm
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