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SMER 2011 : First International Workshop on Search & Mining Entity-Relationship data (SMER 2011) | CIKM 2011


When Oct 28, 2011 - Oct 28, 2011
Where Glasgow, UK
Submission Deadline Jun 29, 2011
Notification Due Jul 29, 2011
Final Version Due Aug 12, 2011
Categories    search   data mining   entity-relationship data   semantic

Call For Papers

Call for Workshop papers

First Intenational Workshop on Search and Mining Entity-Relationship Data (SMER'11)
CIKM 2011, Glasgow, October 28th, 2011

Workshop site:
CIKM 2011 site:

Workshop Twitter hashtag: #SMER2011

SMER'11 workshop is co-located with CIKM 2011 and will take place in Glasgow, Scotland, UK, 28th October 2011.
Glasgow is Scotland's largest city and one of the most visited cities in Europe. A cosmopolitan metropolis, Glasgow is a culturally rich,
vibrant city with a long history at the forefront of socio-economic and political change in Scotland and the UK, offering everything one would
expect from a great British city but with a Scottish flair.

Workshop overview
Data complexity and its diversity have been rapidly expanding over the last years, spanning from large amounts of unstructured and semi-structured data to semantically
rich available knowledge, and driven by ever increasing sophistication in data management requirements. Numerous applications in various domains such as social-media,
healthcare, telecommunication, e-commerce and web analytics, business intelligence, and cyber-security, require new methods and tools for collecting and extracting
entities and their relationships from unstructured and heterogeneous data sources to be transformed into useful knowledge and provide insights.
While lots of useful facts are being added on a daily basis on multitude web and enterprise data sources, they are still hidden behind barriers of language constraints,
data heterogeneity and ambiguity, and the lack of proper query interfaces. In addition, novel search and data mining methods are required to provide expressive and
powerful discovery capabilities, yet intuitive enough, for exploring the large amounts of entity-relationship data.

Workshop objective
This workshop shall serve as an open forum for discussing the new research challenges in search and mining of large scale ER data extracted from multitude of unstructured
and semi-structured data sources, driven by recent industry trends and requirements in various domains and increasing academic interest. The workshop will bring together
researchers from different communities working on similar problems in the context of ER and other semantic data, allowing for cross-fertilization between areas.
During the workshop, we will identify common problems and their various solution approaches in DB, KM, and IR areas.

Haggai Roitman, IBM Research - Haifa, Israel
Ralf Schenkel, Saarland University and Max-Planck-Institut Informatik - Saarbr?cken, Germany
Marko Grobelnik, J. Stefan Institute, Department for Intelligent Systems, Slovenia.

Topics of interest
The workshop has two main themes. The first is search and discovery over rich entity-relationship data.
The second is entity-relationship data mining methods. More specifically, the following list of topics are covered by this workshop:

ER data collection methods.
ER data extraction, cleansing, representation, and processing.
ER data resolution and disambiguation.
Efficient Indexing methods.
Query languages and interfaces (keyword-based, semantic, hybrid, visual), query processing and optimization.
Ranking methods and top-k queries over ER data.
Similarity and proximity search.
Context-based retrieval over ER data.
Temporal aspects in ER search and data mining.
Exploratory search and faceted search over ER data.
Personalized search over ER data.
ER data mining (e.g., feature extraction, clustering, classification, authority and link analysis, trust, recommendation, etc).
ER data fusion, integration, and lineage.
Privacy models for ER search and data mining.
Large scale ER search and data mining methods.
Search and data mining over incomplete or noisy ER data.
Search and data mining over multilingual ER data.
Novel applications using ER search and data mining.
Evaluation methodologies.
Usability methods for ER data exploration.

Submission guidelines

We invite you to submit both long (6 pages) and short (2 pages) papers in ACM format. Long papers will be presented in a session of talks.
All papers (long and short) will be further presented in a poster show over (if local setup allows) or right after lunch, possibly including demos of systems.

Manuscripts should be formatted using the ACM camera-ready templates (both for MS word and Latex) available at
There are two styles on the website. Both the Strict Adherence to SIGS and the Tighter Alternate style are allowed.
Papers cannot exceed 6 pages in length for long papers and 2 pages for short papers.
Accepted papers will be published at ACM Digital Library.

Manuscripts should be submitted using the following EasyChair link:

Important dates

Papers submission: June 29, 2011
Notification: July 29, 2011
Camera Ready: August 12, 2011 (hard deadline)
Workshop: October 28, 2011
Main conference: October 24-28, 2001

Late submissions will be rejected without further consideration.

Queries regarding paper submissions should be sent to the workshop co-chair: Haggai Roitman (

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