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https://ceur-ws.org/Vol-631/preface.pdf
KIELD 2010
1st EKAW Workshop on Knowledge Injection
into and Extraction from Linked Data
Foreword
The rapid growth of the Linked Data (LD) cloud, in parallel with on-the-fly de-
sign of relevant vocabularies, presents new opportunities for traditional research
disciplines such as Knowledge Modelling and Knowledge Discovery from Data.
Most notably:
• Although the popular vocabularies reflect today needs, they sometimes
lack deeper ontological reflections. State-of-the-art knowledge modelling,
especially the pattern-based ontology design principles, could help connect
Linked Data vocabularies to more sophisticated models, while keeping
themselves simple. Furthermore, collaborative ontology design method-
ologies could find their way to the process of vocabulary design, currently
undertaken by VoCamp communities and stand-alone groups.
• The linked data themselves represent a large and growing resource wo-
ven from numerous components. Empirical knowledge discovery in linked
data, carried out by machine learning and data mining algorithms, could
reveal interesting patterns on frequently used structures, which could then
be fuelled back to the vocabulary design. Existing techniques for mining
network-structured data, such as graph databases or web links, are likely
to require adaptation so as to take account of links that are typed accord-
ing to semantically rich and heterogeneous schemata.
This complex of research challenges was the main incentive for organizing the
1st Workshop on Knowledge Injection into and Extraction from Linked Data
(KIELD 2010), collocated with the 17th International Conference on Knowledge
Engineering and Knowledge Management (EKAW 2010), in Lisbon, Portugal.
KIELD 2010 aimed at being an interdisciplinary event, of interest for both
researchers and practitioners in all three areas: linked data, knowledge modeling
and knowledge discovery. Furthermore, it also assumed space for ongoing and
pioneering research activities, which would still be too preliminary as conference
publications, although extremely hot as topics in the semantic technology field.
One of the highlights of the half-day event, held in the afternoon of October
15, 2010, following the main EKAW conference, was the keynote talk by Prof.
Martin Hepp, “Ontology Engineering for Linked Data: What Makes for a Good
Ontology?”, which discussed the impact of ontology design choices and ontology
quality criteria on the overall impact of the linked data initiatives.
The workshop received six submissions, which were all carefully reviewed by
at least 2 (and mostly 3) reviewers. Five of the submissions satisfied the quality
standards for being accepted as full papers. There was also an additional call
for short late-breaking news, leading to two submissions (which did not undergo
a full review but were checked for relevance by the workshop organizers).
Two of the contributed talks focused (following a similar direction as the
keynote) on the need to ‘inject’ more knowledge into the linked data vocabular-
ies. Nuzzolese et al. dealt with expliciting the semantics of (especially, relational)
data when putting them to RDF, through meta-modeling such data in OWL;
i.e., the linked data are thus ‘injected’ with knowledge already when the re-
source is being built, i.e. ‘a priori’. In contrast, Vacura&Svátek analyzed some
implicit assumptions of vocabularies (specifically for FOAF) and suggested to
make them explicit when the given vocabulary is imported as upper-level into a
more specific ontology; this corresponds to ‘a posteriori injection’ of knowledge
into linked data (at the reuse time of the vocabulary).
Three of the talks focused on the possibility to ‘extract’ useful knowledge
from linked data, or to intertwine linked data with other data resources in order
to increase the quality of these resources (which, presumably, has the potential
of ‘injecting’ the new knowledge back into the original linked data resources).
Markotschi&Völker presented a new online game with a purpose, combining
the wisdom of crowds with linked data in order to build richer ontological de-
scriptions of concepts. Drăgan et al. showed how semantic desktop data can
be published as linked data, via unifying local and web identifiers of entities.
Finally, Valle et al. presented a case study in transferring a database of ten-
ders to linked data while exploiting existing LD resources such as DBpedia and
Geonames.
The workshop chairs are grateful to all people who contributed to the event,
from the PC members, through the presenters (most notably, to the keynote
speaker), to all participants. A special thank is due to the local organizers, for
their support.
Lisbon, October 15, 2010
Valentina Presutti
François Scharffe
Vojtěch Svátek
Program Committee Members
• Eva Blomqvist, STLab ISTC-CNR, Italy
• Ciro Cattuto, ISI Foundation, Italy
• Claudia d’Amato, University of Bari, Italy
• Mathieu d’Aquin, KMI Open University, UK
• Nicola Fanizzi, University of Bari, Italy
• Aldo Gangemi, STLab ISTC-CNR, Italy
• Alfio Gliozzo, STLab ISTC-CNR, Italy
• Marko Grobelnik, Jozef Stefan Institute, Slovenia
• Tom Heath, Talis, UK
• Luigi Iannone, Manchester University, UK
• David Jensen, University of Massachusetts Amherst, USA
• Agnieszka Lawrynowicz, Poznan University of Technology, Poland
• Pascal Poncelet, LIRMM, Universit Montpellier 2, France
• Marko Rodriguez, AT&T, and Vrije Universiteit Brussels, Belgium
• Steffen Staab, University of Koblenz-Landau, Germany
Additional Reviewers
Alessandro Adamou, STLab ISTC-CNR, Italy
Enrico Daga, STLab ISTC-CNR, Italy
Andrea Giovanni Nuzzolese, STLab ISTC-CNR, Italy
Workshop Homepage
http://ontologydesignpatterns.org/wiki/Odp:KIELD2010