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|pdfUrl=https://ceur-ws.org/Vol-1299/preface.pdf
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<pdf width="1500px">https://ceur-ws.org/Vol-1299/preface.pdf</pdf>
<pre>
Preface
With data continuously generated as a result of daily activities within organizations and new data
sources (sensor streams, linked datasets, etc.) introduced within knowledge management, the growth
of information is unprecedented. Providing knowledge engineers and data analysts with
visualizations and well-designed user interfaces can significantly support the understanding of the
concepts, data instances, and relationships in different domains.

The development of appropriate visualizations and user interfaces is a challenging task, given the
size and complexity of the information that needs to be displayed and the varied backgrounds of the
users. Further challenges emerge from technological developments and diverse application contexts.
There is no “one size fits all” solution but the various use cases demand different visualization and
interaction techniques. Ultimately, providing better visualizations and user interfaces will foster user
engagement and likely lead to higher-quality results in different areas of knowledge engineering and
linked data analytics.

The workshop is divided into two half-day tracks, each focusing on one of the two workshop
themes: The first track addresses visualizations and user interfaces as an integral part of knowledge
engineering. They help to bridge the gap between domain experts and data management, and are
essential to handle the increasing diversity of knowledge that is being modeled in ontologies,
ensuring that it is easily accessible to a wide community. As knowledge-based systems and
ontologies grow in size and complexity, the demand for comprehensive visualization and optimized
interaction also rises.

A number of knowledge visualizations have become available in recent years, with some being
already well-established, particularly in the field of ontology development. In other areas of
knowledge engineering, such as ontology alignment and debugging, although several tools have
recently been developed, few have a user interface, not to mention navigational aids or
comprehensive visualization techniques. Other activities, such as data integration, rely on the
relationships between the concepts of different ontologies, which not only multiplies the number of
objects to be displayed but also compounds the problem with the portrayal of different kinds of
relationships between concepts.

The second track addresses visualizations and user interfaces for linked data analytics. New and
traditional knowledge practices, digitization of organizational processes, high performance
computing and affordable datastores create an unprecedented amount of data as a part of daily
organizational activities, at break-neck speed in a variety of formats. Conventional systems struggle
to capture, store and analyze such dynamic and large scale data continuously generated. On its own,
raw data has little value, but its value and significance is only unleashed when the data is extracted,
processed and interpreted.

Visual Analytics attempts to address this challenge by harmoniously combining the strengths of
human processing and electronic data processing. While semi-automated processes result in
generating visualizations, humans can use visual processing and interactions to quickly identify
trends, patterns and anomalies from large volumes of visual data. The growing challenges of
analyzing big data, social media, linked data, and data streams have created an excellent opportunity
for research in Visual Analytics.
The call for papers attracted high-quality submissions, and each paper was reviewed by at least
three members of the program committee. Based on the reviews, we selected six papers for
presentation at the workshop, which are included in this proceedings volume. We also reserved time
for discussions and a demo session, to encourage dialogue and identify current and future challenges
in the topic areas.

We thank all authors for their contributions and the members of the program committee for their
valuable work in reviewing the submissions. We are also grateful to the workshop chairs Eva
Blomqvist and Valentina Presutti as well as the general chairs Patrick Lambrix and Eero Hyvönen
for their suggestions and support with the organization of this workshop.


November 2014                                                                   Valentina Ivanova
                                                                                 Tomi Kauppinen
                                                                                 Steffen Lohmann
                                                                              Suvodeep Mazumdar
                                                                                    Catia Pesquita
                                                                                           Kai Xu

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