Extended deadline: IJSWIS Special Issue on Dataset Profiling and Federated Search for Linked Data

[Apologies for cross-posting]


=> Extended deadline: *10 February 2015*
=> Special issue website at http://www.ijswis.org/?q=node/51


While the Web of Data, and in particular Linked Data, has seen
tremendous growth over the past years, take-up, usage and reuse of data
is still limited and is often focused on well-known reference datasets.
The main obstacles preventing users from obtaining relevant, correct and
up-to-date information from distributed LOD datasets is the lack of
scalable and usable methods for formulating and distributing semantic
and keyword queries across the Web of Data. This problem is  further
alleviated by the lack of trust in the quality of search results
retrieved using federated search over distributed third party data.
Hence, dataset and endpoint selection and discovery are inherent
challenges for query distribution. These are currently hindered by the
lack of trust-worthy and up-to-date information about the nature,
characteristics, currentness and suitability of particular datasets for
a given task. Given the heterogeneous and large-scale context of LOD,
state-of-the-art semantic and keyword search techniques for structured
data face increased query ambiguity and scalability problems already in
single-source search scenarios. In the federated search scenarios for
LOD, dataset selection and adoption of queries to the respective schemas
used poses even further challenges.

As the Linked Open Data (LOD) Cloud includes data from a variety of
domains spread across hundreds of datasets containing billions of
entities and facts and is constantly evolving, manual assessment of
dataset features is not feasible or sustainable, leading to brief and
often outdated dataset metadata. That is, for instance, apparent with
the DataHub (http://datahub.io), the largest dataset registry for open
datasets in general and LOD in particular. Hence, given the dynamic and
evolving nature of the LOD Cloud, particular focus should be on the
development of scalable automated approaches, which facilitate the
frequent assessment and profiling of large-scale datasets to enable the
selection of suitable datasets for query federation.


The main areas of interest of this special issue include:

I) Dataset/endpoint analysis, profiling and discovery:

* query routing taking into account relevance and quality of distributed
* dataset profile representation (vocabularies, schemas)
* novel applications and techniques for dataset profiling
* automated approaches to dataset analysis and exploration
* analysis/monitoring of dataset and graph dynamics
* topic profiling of datasets
* dataset and graph preservation
* assessment of dataset evolution
* assessment of dataset schema conformance and evolution
* dataset quality analysis for query routing
* assessment of data evolution and change propagation
* automatic and semi-automatic data linking

II) Distributed semantic search:

* federated search for Linked Data
* semantic annotation and expansion for keyword queries
* keyword query interpretation and disambiguation for Linked Data
* graph-based keyword search
* multilingual search
* categorization of keyword query interpretations and results, faceted
* fusing, cleaning, ranking and refining search results
* scalability & performance of distributed data queries
* novel applications for federated search over Linked Data


Submissions to this special issue should follow the journal's
guidelines. Initial submission should be made as a PDF document via
Easychair at https://easychair.org/conferences/?conf=ijswisdp2014.
Please include, in accordance with the journal's guidelines, 5-10
keywords, to assist both with indexing and reviewer selection.

If a submission is based on a prior conference or workshop publication,
the journal submission must demonstrate substantial
differences/improvement. For such an extended manuscript, please
explicitly cite previous publications on which the current submission is
based, along with a note explaining the main differences/improvements.


Extended submission deadline: 10 February 2015
Notification: 10 June 2015
Revisions due: 22 July 2015
Estimated publication: Q4 2015


Elena Demidova, L3S Research Center, Germany
Stefan Dietze, L3S Research Center, Germany
Julian Szymański, Gdańsk University of Technology, Poland
John Breslin, NUI Galway, Ireland

Contact for further information: ijswisdp2014@easychair.org.

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Received on Tuesday, 18 November 2014 12:38:38 UTC