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<pre>
                   PROFILES’16:
          3rd International Workshop on
Dataset PROFIling & fEderated Search for Linked Data



                                Preface


This volume of proceedings gathers papers from the 3rd International
Workshop on Dataset PROFIling and fEderated Search for Linked Data
(PROFILES '16), held on May 30, 2016 during the 13th ESWC
Conference in Anissaras, Crete, Greece.

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. As the Linking Open Data (LOD) Cloud includes data from a
variety of domains spread across hundreds of evolving datasets
containing billions of entities and facts, manual assessment of dataset
features is not feasible or sustainable, leading to brief and often outdated
dataset metadata. Given the dynamic 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
and, more generally, dataset recommendation for specific applications.
The PROFILES’16 workshop is a continuation of the workshop series
successfully started as PROFILES’14 @ ESWC 2014 and PROFILES’15
@ ESWC 2015. These workshops aims to gather innovative query and
search approaches for large-scale, distributed and heterogeneous linked
datasets, along with dedicated approaches to analyse, describe and
discover endpoints, as tasks inherent in query distribution and dataset
recommendation. The PROFILES’16 workshop has become a highly
interactive research forum for researchers and practitioners in the fields
of Linked Data and the Semantic Web, Databases, Semantic Search,
Text Mining, NLP, as well as Information Retrieval. PROFILES’16 has
gathered novel works from the fields of semantic query interpretation and
federated search for Linked Data, dataset selection and discovery, as
well as automated profiling of datasets using scalable data assessment
and profiling techniques. This year we accepted five papers considering
both novel scientific methods and techniques for querying, assessment,
profiling, and discovery of distributed datasets as well as from the
application perspective, such as the innovative use of tools and methods
for providing structured knowledge about distributed datasets, their
evolution, and fundamentally, their use as a means to search and query
the Web of Data.

We would like to take this opportunity to sincerely thank the authors for
their valuable and inspiring contributions to the workshops. Our sincere
thanks are due to the program committee members for reviewing the
submissions and ensuring the high quality of the workshop program. We
are also very grateful to the organisers of the ESWC 2016 conference for
their support with the workshop organisation. Great appreciation of his
time and expertise goes to our keynote speaker Keynote Axel-C. Ngonga
Ngomo for his excellent talk entitled “Querying the Web: Challenges and
Opportunities” summarized in invited paper “Federated Query
Processing: Challenges and Opportunities”.


May 2016
                                                        Elena Demidova
                                                           Stefan Dietze
                                                       Julian Szymański
                                                         John G. Breslin

The PROFILES'16 workshop was co-organised by members of the
KEYSTONE COST Action IC1302 on semantic KEYword-based Search
on sTructured data sOurcEs, and was also supported by H2020-MSCA-
ITN-2014 WDAqua (64279) and by Science Foundation Ireland grant
number SFI/12/RC/2289 (Insight).



                             Organisation

Organising Committee:

Elena Demidova, WAIS Group, ECS, University of Southampton, UK
Stefan Dietze, L3S Research Center, Leibniz Universität Hannover,
Germany
Julian Szymański, Gdańsk University of Technology, Poland
John G. Breslin, Insight Centre for Data Analytics, NUI Galway, Ireland

Program Committee:

Charlie Abela, University of Malta
Alessandro Adamou, Knowledge Media Institute, The Open University
Marco Antonio Casanova, PUC – Rio
Mathieu D’aquin, Knowledge Media Institute, The Open University
Enrico Daga, The Open University
Tom Heath, Open Data Institute
Saud Aljaloud, University of Southampton
Andreas Nürnberger, Otto-von-Guericke University of Magdeburg
Heiko Paulheim, University of Mannheim
Bernardo Pereira Nunes, PUC-Rio
Thanassis Tiropanis, University of Southampton
Raquel Trillo Lado, University of Zaragoza
Carlos Pedrinaci, Knowledge Media Institute, The Open University
Thomas Gottron, University of Koblenz-Landau
Simon Gottschalk, L3S Research Center, Germany
Dmitry Mouromtsev, ITMO University
Konstantin Todorov, LIRMM / University of Montpellier

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