<html dir="ltr">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" id="owaParaStyle"></style>
</head>
<body fpstyle="1" ocsi="0">
<div style="direction: ltr;font-family: Times New Roman;color: #000000;font-size: 12pt;">
<div>
<div>
<div>
<div>
<div>
<div>
<div><font face="Courier New">CALL FOR PAPERS</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">International Workshop at EKAW 2014, 19th International Conference on Knowledge Engineering and Knowledge Management</font></div>
<div><font face="Courier New">November 24 or 25, 2014, Linköping, Sweden</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">http://linkedscience.org/events/visual2014/</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Motivation and Objectives</font></div>
<div><font face="Courier New">==========</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">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 understanding of the concepts, data instances and relationships of different domains.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">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.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">This full-day workshop will be divided into two half-day tracks, one in the morning and the other in the afternoon, each focusing on one of the two workshop themes. </font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Track 1: Visualizations and User Interfaces for Knowledge Engineering</font></div>
<div><font face="Courier New">==========</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Visualizations and user interfaces are 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.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">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.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Topics of interest in this track include (but are not limited to):</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">- visualizations for (large and complex) ontologies</font></div>
<div><font face="Courier New">- user interfaces for ontology alignment and debugging</font></div>
<div><font face="Courier New">- visualizations and user interfaces for non-experts</font></div>
<div><font face="Courier New">- applications of novel interaction techniques (e.g. touch and gesture interaction)</font></div>
<div><font face="Courier New">- user interfaces for mobile knowledge engineering</font></div>
<div><font face="Courier New">- requirements analysis for visualizations in knowledge engineering</font></div>
<div><font face="Courier New">- user interfaces assisting people with disabilities</font></div>
<div><font face="Courier New">- knowledge visualizations for large displays and high resolutions</font></div>
<div><font face="Courier New">- user interfaces for collaborative knowledge engineering</font></div>
<div><font face="Courier New">- case studies of applying visualizations in knowledge engineering</font></div>
<div><font face="Courier New">- user interfaces and visualizations for linked data</font></div>
<div><font face="Courier New">- context-aware visualization and interaction techniques </font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Track 2: Visualizations and User Interfaces for Linked Data Analytics</font></div>
<div><font face="Courier New">==========</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">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.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">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.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Topics of interest in this track include (but are not limited to):</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">- interactive semantic systems</font></div>
<div><font face="Courier New">- design of interactive systems</font></div>
<div><font face="Courier New">- visual pattern discovery</font></div>
<div><font face="Courier New">- (semi-)automatic hypothesis generation</font></div>
<div><font face="Courier New">- augmented human reasoning</font></div>
<div><font face="Courier New">- novel visualizations of data and metadata</font></div>
<div><font face="Courier New">- visual approaches for semantic similarity measurement</font></div>
<div><font face="Courier New">- exploratory information visualization</font></div>
<div><font face="Courier New">- domain-specific visual analytics</font></div>
<div><font face="Courier New">- interactive systems in business intelligence</font></div>
<div><font face="Courier New">- cognition and sensemaking in visual contexts</font></div>
<div><font face="Courier New">- evaluation of interactive systems</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Submission Guidelines</font></div>
<div><font face="Courier New">==========</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following Springer LNCS format, and be submitted in PDF.</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">The following types of contributions are welcome:</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">- Full research papers (8-12 pages);</font></div>
<div><font face="Courier New">- Experience papers (8-12 pages);</font></div>
<div><font face="Courier New">- Position papers (6-8 pages);</font></div>
<div><font face="Courier New">- Short research papers (4-6 pages);</font></div>
<div><font face="Courier New">- System papers (4-6 pages).</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. </font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Important Dates</font></div>
<div><font face="Courier New">==========</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">- Submission: September 19, 2014</font></div>
<div><font face="Courier New">- Notification: October 17, 2014</font></div>
<div><font face="Courier New">- Camera-ready: November 7, 2014</font></div>
<div><font face="Courier New">- Workshop: November 24/25, 2014</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">Organizers</font></div>
<div><font face="Courier New">==========</font></div>
<div><font face="Courier New"><br>
</font></div>
<div><font face="Courier New">- Valentina Ivanova, Linköping University, Sweden</font></div>
<div><font face="Courier New">- Tomi Kauppinen, Aalto University, Finland, and University of Bremen, Germany</font></div>
<div><font face="Courier New">- Steffen Lohmann, University of Stuttgart, Germany</font></div>
<div><font face="Courier New">- Suvodeep Mazumdar, The University of Sheffield, UK</font></div>
<div><font face="Courier New">- Catia Pesquita, University of Lisbon, Portugal</font></div>
<div><font face="Courier New">- Toomas Timpka, Linköping University, Sweden</font></div>
<div><font face="Courier New">- Kai Xu, Middlesex University, UK</font></div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>