Jakub Dzikowski
Poznań University of Economics
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Publication
Featured researches published by Jakub Dzikowski.
web intelligence, mining and semantics | 2012
Roberta Cuel; Oksana Tokarchuck; Monika Kaczmarek; Jakub Dzikowski; Elena Simperl; Szymon Łazaruk
Since many semantic content creation methods and initiatives have been developed, a fully automatic process cannot be implemented. As a consequence, many application designers are interested in the question of how to motivate users to become a part of this endeavor, compensating the limitations of purely machine-driven content creation techniques. Methods from areas as diverse as community support, participation management, usability engineering, mechanism design, and social computing, can be applied to analyze semantically enabled applications, and design incentivized variants thereof. Building on top of these theories, we revisit fundamental design issues of semantic-content authoring technology focusing on the identification of a set of incentives that drives people to contribute, and on the ways such incentives can be translated into guidelines for technology and application designers. In order to show some best practices that designers should take into account encouraging large-scale user participation in semantic applications, we describe an experiment conducted with students of the Poznan University of Economics. Following the empirical findings and insights gained during the experimental operations, we propose some general guidelines, which provide software developers with a baseline to create semantics-based technologies and end-user applications that are not just functional, but facilitate and encourage user participation.
knowledge acquisition, modeling and management | 2012
Szymon Łazaruk; Monika Kaczmarek; Jakub Dzikowski; Oksana Tokarchuk; Witold Abramowicz
One of the main obstacles hampering the adoption of semantic technologies, is the lack of interest of users to create semantic content. In this paper, we focus on the incentives that may be applied and embedded within an application, in order to motivate users to create semantically annotated content. As an example, we show a semantically-enhanced Social Web Recommendation application, called Taste It! Try It!, integrated with a Linked Data source and Social Network. We also discuss the findings from the experiments run with 140 users.
availability, reliability and security | 2012
Jakub Dzikowski; Monika Kaczmarek; Szymon Lazaruk; Witold Abramowicz
This paper focuses on a semantically-enhanced Social Web Recommendation application, called Taste It! Try It! It is a mobile restaurants’ review and recommendation application based on a Linked Data source and integrated with a social network. The application is consuming Linked Data (while creating the reviews), producing semantic annotations (about the reviewed entities) and then, querying the gathered data in order to offer personalized recommendations. In this paper, we focus only on the consumption and usage of Linked Data for the needs of social recommendation system and point out the challenges and shortcomings that need to be addressed.
advances in databases and information systems | 2011
Witold Abramowicz; Elżbieta Bukowska; Jakub Dzikowski; Agata Filipowska; Monika Kaczmarek
federated conference on computer science and information systems | 2012
Szymon Lazaruk; Jakub Dzikowski; Monika Kaczmarek; Witold Abramowicz
Zeszyty Naukowe / Uniwersytet Ekonomiczny w Poznaniu | 2012
Monika Kaczmarek; Szymon Łazaruk; Jakub Dzikowski; Witold Abramowicz
Prace Naukowe / Uniwersytet Ekonomiczny w Katowicach | 2012
Agata Filipowska; Jakub Dzikowski
Archive | 2012
Witold Abramowicz; Jakub Dzikowski; Agata Filipowska; Tomasz Kaczmarek; Bartosz Perkowski; Piotr Stolarski; Katedra Informatyki; Ekonomicznej
Archive | 2012
Szymon Łazaruk; Jakub Dzikowski; Monika Kaczmarek; Witold Abramowicz
Informatyka Ekonomiczna / Uniwersytet Ekonomiczny we Wrocławiu | 2012
Szymon Łazaruk; Jakub Dzikowski; Monika Kaczmarek; Witold Abramowicz