[1]
CubeViz: Exploration and Visualization of Statistical Linked Data
Demonstrations
/
Martin, Michael
/
Abicht, Konrad
/
Stadler, Claus
/
Ngomo, Axel-Cyrille Ngonga
/
Soru, Tommaso
/
Auer, Sören
Companion Proceedings of the 2015 International Conference on the World Wide
Web
2015-05-18
v.2
p.219-222
© Copyright 2015 ACM
Summary: CubeViz is a flexible exploration and visualization platform for statistical
data represented adhering to the RDF Data Cube vocabulary. If statistical data
is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted
browsing widget allowing to interactively filter observations to be visualized
in charts. Based on the selected structural part, CubeViz offers suitable chart
types and options for configuring the visualization by users. In this demo we
present the CubeViz visualization architecture and components, sketch its
underlying API and the libraries used to generate the desired output. By
employing advanced introspection, analysis and visualization bootstrapping
techniques CubeViz hides the schema complexity of the encoded data in order to
support a user-friendly exploration experience.
[2]
LDOW 2013: The 8th Workshop on Linked Data on the Web
Workshop Summaries
/
Auer, Sören
/
Berners-Lee, Tim
/
Bizer, Christian
/
Heath, Tom
Companion Proceedings of the 2015 International Conference on the World Wide
Web
2015-05-18
v.2
p.1549-1550
© Copyright 2015 ACM
Summary: This paper presents a brief summary of the eight workshop on Linked Data on
the Web. The LDOW 2013 workshop is held in conjunction with the World Wide Web
conference 2013. The focus is on data publishing, integration and consumption
using RDF and other semantic representation formalisms and technologies.
[3]
OpenCourseWare observatory: does the quality of OpenCourseWare live up to
its promise?
Practice across boundaries
/
Vahdati, Sahar
/
Lange, Christoph
/
Auer, Sören
LAK'15: 2015 International Conference on Learning Analytics and Knowledge
2015-03-16
p.73-82
© Copyright 2015 ACM
Summary: A vast amount of OpenCourseWare (OCW) is meanwhile being published online to
make educational content accessible to larger audiences. The awareness of such
courses among users and the popularity of systems providing such courses are
increasing. However, from a subjective experience, OCW is frequently cursory,
outdated or non-reusable. In order to obtain a better understanding of the
quality of OCW, we assess the quality in terms of fitness for use. Based on
three OCW use case scenarios, we define a range of dimensions according to
which the quality of courses can be measured. From the definition of each
dimension a comprehensive list of quality metrics is derived. In order to
obtain a representative overview of the quality of OCW, we performed a quality
assessment on a set of 100 randomly selected courses obtained from 20 different
OCW repositories. Based on this assessment we identify crucial areas in which
OCW needs to improve in order to deliver up to its promises.
[4]
Test-driven evaluation of linked data quality
Semantic web 2
/
Kontokostas, Dimitris
/
Westphal, Patrick
/
Auer, Sören
/
Hellmann, Sebastian
/
Lehmann, Jens
/
Cornelissen, Roland
/
Zaveri, Amrapali
Proceedings of the 2014 International Conference on the World Wide Web
2014-04-07
v.1
p.747-758
© Copyright 2014 ACM
Summary: Linked Open Data (LOD) comprises an unprecedented volume of structured data
on the Web. However, these datasets are of varying quality ranging from
extensively curated datasets to crowdsourced or extracted data of often
relatively low quality. We present a methodology for test-driven quality
assessment of Linked Data, which is inspired by test-driven software
development. We argue that vocabularies, ontologies and knowledge bases should
be accompanied by a number of test cases, which help to ensure a basic level of
quality. We present a methodology for assessing the quality of linked data
resources, based on a formalization of bad smells and data quality problems.
Our formalization employs SPARQL query templates, which are instantiated into
concrete quality test case queries. Based on an extensive survey, we compile a
comprehensive library of data quality test case patterns. We perform automatic
test case instantiation based on schema constraints or semi-automatically
enriched schemata and allow the user to generate specific test case
instantiations that are applicable to a schema or dataset. We provide an
extensive evaluation of five LOD datasets, manual test case instantiation for
five schemas and automatic test case instantiations for all available schemata
registered with Linked Open Vocabularies (LOV). One of the main advantages of
our approach is that domain specific semantics can be encoded in the data
quality test cases, thus being able to discover data quality problems beyond
conventional quality heuristics.
[5]
Databugger: a test-driven framework for debugging the web of data
WWW 2014 demonstrations
/
Kontokostas, Dimitris
/
Westphal, Patrick
/
Auer, Sören
/
Hellmann, Sebastian
/
Lehmann, Jens
/
Cornelissen, Roland
Companion Proceedings of the 2014 International Conference on the World Wide
Web
2014-04-07
v.2
p.115-118
© Copyright 2014 ACM
Summary: Linked Open Data (LOD) comprises of an unprecedented volume of structured
data on the Web. However, these datasets are of varying quality ranging from
extensively curated datasets to crowd-sourced or extracted data of often
relatively low quality. We present Databugger, a framework for test-driven
quality assessment of Linked Data, which is inspired by test-driven software
development. Databugger ensures a basic level of quality by accompanying
vocabularies, ontologies and knowledge bases with a number of test cases. The
formalization behind the tool employs SPARQL query templates, which are
instantiated into concrete quality test queries. The test queries can be
instantiated automatically based on a vocabulary or manually based on the data
semantics. One of the main advantages of our approach is that domain specific
semantics can be encoded in the data quality test cases, thus being able to
discover data quality problems beyond conventional quality heuristics.
[6]
Exploring the web of spatial data with facete
WWW 2014 demonstrations
/
Stadler, Claus
/
Martin, Michael
/
Auer, Sören
Companion Proceedings of the 2014 International Conference on the World Wide
Web
2014-04-07
v.2
p.175-178
© Copyright 2014 ACM
Summary: The majority of data (including data published on the Web as Linked Open
Data) has a spatial dimension. However, the efficient, user friendly
exploration of spatial data remains a major challenge. We present Facete, a
web-based exploration and visualization application enabling the
spatial-faceted browsing of data with a spatial dimension. Facete implements a
novel spatial data exploration paradigm based on the following three key
components: First, a domain independent faceted filtering module, which
operates directly on SPARQL and supports nested facets. Second, an algorithm
that efficiently detects spatial information related to those resources that
satisfy the facet selection. The detected relations are used for automatically
presenting data on a map. And third, a workflow for making the map display
interact with data sources that contain large amounts of geometric information.
We demonstrate Facete in large-scale, real world application scenarios.
[7]
Towards web intelligence through the crowdsourcing of semantics
Web intelligence and communities workshop (WI&C 2014)
/
Auer, Sören
/
Kontokostas, Dimitris
Companion Proceedings of the 2014 International Conference on the World Wide
Web
2014-04-07
v.2
p.991-992
© Copyright 2014 ACM
Summary: A key success factor for the Web as a whole was and is its participatory
nature. We discuss strategies for engaging human-intelligence to make the Web
more semantic.
[8]
Question answering on interlinked data
Research papers
/
Shekarpour, Saeedeh
/
Ngomo, Axel-Cyrille Ngonga
/
Auer, Sören
Proceedings of the 2013 International Conference on the World Wide Web
2013-05-13
v.1
p.1145-1156
© Copyright 2013 ACM
Summary: The Data Web contains a wealth of knowledge on a large number of domains.
Question answering over interlinked data sources is challenging due to two
inherent characteristics. First, different datasets employ heterogeneous
schemas and each one may only contain a part of the answer for a certain
question. Second, constructing a federated formal query across different
datasets requires exploiting links between the different datasets on both the
schema and instance levels. We present a question answering system, which
transforms user supplied queries (i.e. natural language sentences or keywords)
into conjunctive SPARQL queries over a set of interlinked data sources. The
contribution of this paper is two-fold: Firstly, we introduce a novel approach
for determining the most suitable resources for a user-supplied query from
different datasets (disambiguation). We employ a hidden Markov model, whose
parameters were bootstrapped with different distribution functions. Secondly,
we present a novel method for constructing a federated formal queries using the
disambiguated resources and leveraging the linking structure of the underlying
datasets. This approach essentially relies on a combination of domain and range
inference as well as a link traversal method for constructing a connected graph
which ultimately renders a corresponding SPARQL query. The results of our
evaluation with three life-science datasets and 25 benchmark queries
demonstrate the effectiveness of our approach.
[9]
EDITED BOOK
Search Computing: Broadening Web Search
Lecture Notes in Computer Science 7538
/
Ceri, Stefano
/
Brambilla, Marco
2012
n.16
p.254
Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-34213-4
== Extraction and Integration ==
Web Data Reconciliation: Models and Experiences (1-15)
+ Blanco, Lorenzo
+ Crescenzi, Valter
+ Merialdo, Paolo
+ Papotti, Paolo
A Domain Independent Framework for Extracting Linked Semantic Data from Tables (16-33)
+ Mulwad, Varish
+ Finin, Tim
+ Joshi, Anupam
Knowledge Extraction from Structured Sources (34-52)
+ Unbehauen, Jörg
+ Hellmann, Sebastian
+ Auer, Sören
+ Stadler, Claus
Extracting Information from Google Fusion Tables (53-67)
+ Brambilla, Marco
+ Ceri, Stefano
+ Cinefra, Nicola
+ Sarma, Anish Das
+ Forghieri, Fabio
+ et al
Materialization of Web Data Sources (68-81)
+ Bozzon, Alessandro
+ Ceri, Stefano
+ Zagorac, Srdan
== Query and Visualization Paradigms ==
Natural Language Interfaces to Data Services (82-97)
+ Guerrisi, Vincenzo
+ Torre, Pietro La
+ Quarteroni, Silvia
Mobile Multi-domain Search over Structured Web Data (98-110)
+ Aral, Atakan
+ Akin, Ilker Zafer
+ Brambilla, Marco
Clustering and Labeling of Multi-dimensional Mixed Structured Data (111-126)
+ Brambilla, Marco
+ Zanoni, Massimiliano
Visualizing Search Results: Engineering Visual Patterns Development for the Web (127-142)
+ Morales-Chaparro, Rober
+ Preciado, Juan Carlos
+ Sánchez-Figueroa, Fernando
== Exploring Linked Data ==
Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries (143-156)
+ Bozzon, Alessandro
+ Valle, Emanuele Della
+ Magliacane, Sara
Thematic Clustering and Exploration of Linked Data (157-175)
+ Castano, Silvana
+ Ferrara, Alfio
+ Montanelli, Stefano
Support for Reusable Explorations of Linked Data in the Semantic Web (176-190)
+ Cohen, Marcelo
+ Schwabe, Daniel
== Games, Social Search and Economics ==
A Survey on Proximity Measures for Social Networks (191-206)
+ Cohen, Sara
+ Kimelfeld, Benny
+ Koutrika, Georgia
Extending Search to Crowds: A Model-Driven Approach (207-222)
+ Bozzon, Alessandro
+ Brambilla, Marco
+ Ceri, Stefano
+ Mauri, Andrea
BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game (223-239)
+ Hees, Jörn
+ Roth-Berghofer, Thomas
+ Biedert, Ralf
+ Adrian, Benjamin
+ Dengel, Andreas
An Incentive-Compatible Revenue-Sharing Mechanism for the Economic Sustainability of Multi-domain Search Based on Advertising (240-254)
+ Brambilla, Marco
+ Ceppi, Sofia
+ Gatti, Nicola
+ Gerding, Enrico H.
[10]
OntoWiki mobile: knowledge management in your pocket
Poster session
/
Ermilov, Timofey
/
Heino, Norman
/
Auer, Sören
Proceedings of the 2011 International Conference on the World Wide Web
2011-03-28
v.2
p.33-34
© Copyright 2011 ACM
Summary: As comparatively powerful mobile computing devices become more common,
mobile web applications have started gaining in popularity. Such mobile web
applications as Google Mail or Calendar are already in everyday use of millions
of people. Some first examples of these applications use Semantic Web
technologies and information in the form of RDF (e.g. TripIt). An important
feature of these applications is their ability to provide offline functionality
with local updates for later synchronization with a web server. The key problem
to this is the reconciliation, i.e. the problem of potentially conflicting
updates from disconnected clients. In this paper we present an approach for a
mobile semantic collaboration platform based on the OntoWiki framework [1]. It
allows users to collect instance data and refine the structure knowledge bases
on the go. A crucial part of OntoWiki Mobile is the advanced conflict
resolution for RDF stores. The approach is based on the EvoPat [2] method for
data evolution and ontology refactoring.
[11]
Triplify: light-weight linked data publication from relational databases
Semantic/data web/session: linked data
/
Auer, Sören
/
Dietzold, Sebastian
/
Lehmann, Jens
/
Hellmann, Sebastian
/
Aumueller, David
Proceedings of the 2009 International Conference on the World Wide Web
2009-04-20
p.621-630
Keywords: data web, databases, geo data, linked data, rdf, semantic web, sql, web
application
© Copyright 2009 International World Wide Web Conference Committee (IW3C2)
Summary: In this paper we present Triplify -- a simplistic but effective approach to
publish Linked Data from relational databases. Triplify is based on mapping
HTTP-URI requests onto relational database queries. Triplify transforms the
resulting relations into RDF statements and publishes the data on the Web in
various RDF serializations, in particular as Linked Data. The rationale for
developing Triplify is that the largest part of information on the Web is
already stored in structured form, often as data contained in relational
databases, but usually published by Web applications only as HTML mixing
structure, layout and content. In order to reveal the pure structured
information behind the current Web, we have implemented Triplify as a
light-weight software component, which can be easily integrated into and
deployed by the numerous, widely installed Web applications. Our approach
includes a method for publishing update logs to enable incremental crawling of
linked data sources. Triplify is complemented by a library of configurations
for common relational schemata and a REST-enabled data source registry.
Triplify configurations containing mappings are provided for many popular Web
applications, including osCommerce, WordPress, Drupal, Gallery, and phpBB. We
will show that despite its light-weight architecture Triplify is usable to
publish very large datasets, such as 160GB of geo data from the OpenStreetMap
project.
[12]
When Does a Difference Make a Difference? A Snapshot on Global Icon
Comprehensibility
Part 1: Graphical User Interfaces and Visualization
/
Auer, Sonja
/
Dick, Ester
HCI International 2007: 12th International Conference on Human-Computer
Interaction, Part II: Interaction Platforms and Techniques
2007-07-22
v.2
p.3-12
Keywords: Internationalization/Localization; Icon Evaluation; Icon Design; User
Interface Design; Visual Design; Quantitative Empirical User Studies
Copyright © 2007 Springer-Verlag
Summary: Global markets require global solutions, especially in user interface
design. There are differences between cultures -- but do those differences call
for different icon designs? This paper provides a snapshot on icon
comprehensibility in China, the US and Germany. The icon set was derived of an
actual product to enable valid results. A web-based study with 135 participants
from China, the US and Germany was conducted. Icon recognition rates among the
Chinese participants were significantly lower than among US and German
participants. Still, the mean rating for all three countries was above 69% and
thus far removed from guesswork. Practical implications for global icon design
are discussed based on these findings.
[13]
Wiki-based knowledge engineering: second workshop on semantic Wikis
Workshops
/
Völkel, Max
/
Schaffert, Sebastian
/
Pasaru-Bontas, Elena
/
Auer, Sören
Proceedings of the 2006 International Symposium on Wikis
2006-08-21
p.133-134
© Copyright 2006 ACM
Summary: Wikis are collaborative environments for authoring Web content. This
workshop explores the role of semantic wikis in knowledge engineering. Semantic
Wikis try to combine the strengths of semantic (machine processable, data
integration, complex queries) and Wiki (easy to use and contribute, strongly
interconnected, collaboration) technologies.
[14]
Rater Bias: The Influence of Hedonic Quality on Usability Questionnaires
Short Papers: Usability Evaluation and User Studies
/
Harbich, S.
/
Auer, S.
Proceedings of IFIP INTERACT'05: Human-Computer Interaction
2005-09-12
p.1129-1133
Summary: In this study of various evaluation-instruments, subjects fulfilled sev-eral
tasks on two different operating systems and answered several question-naires,
among them AttrakDiffTMand ISONORM 9241/10, and objective meas-ures were taken.
A correlation between the "hedonic quality - identity"-scale of the AttrakDiff
and the ISONORM 9241/10 was found. As the ISONORM 9241/10 measures usability as
described in ISO 9241-10 and not hedonic quali-ty, the hedonic quality seems to
have an influence on the tester ratings of usability. This is supported by the
finding, that the hedonic quality does not correlate with the objective
measures and therefore does not have any effective influence on the efficiency
component of usability.
[15]
A Strategy for Formal Service Product Model Specification
Human-centred computing : cognitive, social and ergonomic aspects
/
Fahnrich, K.-P.
/
Auer, S.
Proceedings of the Tenth International Conference on Human-Computer
Interaction
2003-06-22
v.3
p.956-960
© Copyright 2003 Lawrence Erlbaum Associates
