ºÝºÝߣshows by User: MLuczakRoesch / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: MLuczakRoesch / Tue, 17 Apr 2018 03:00:48 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: MLuczakRoesch Not re-decentralizing the Web is not only a missed opportunity, it is irresponsible! /slideshow/not-redecentralizing-the-web-is-not-only-a-missed-opportunity-it-is-irresponsible-94037042/94037042 2018-04-17-spotlight-lecture-2-180417030048
ºÝºÝߣs of a public "Spotlight Lecture" given at Victoria University of Wellington on Tuesday, 17th April 2018. The purpose of the lecture was to inform the general public and policy makers about the recent facebook-Cambrige Analytica case and discuss possible ways out of the dilemma where large data monopolies accumulate and sell personal data at scale.]]>

ºÝºÝߣs of a public "Spotlight Lecture" given at Victoria University of Wellington on Tuesday, 17th April 2018. The purpose of the lecture was to inform the general public and policy makers about the recent facebook-Cambrige Analytica case and discuss possible ways out of the dilemma where large data monopolies accumulate and sell personal data at scale.]]>
Tue, 17 Apr 2018 03:00:48 GMT /slideshow/not-redecentralizing-the-web-is-not-only-a-missed-opportunity-it-is-irresponsible-94037042/94037042 MLuczakRoesch@slideshare.net(MLuczakRoesch) Not re-decentralizing the Web is not only a missed opportunity, it is irresponsible! MLuczakRoesch ºÝºÝߣs of a public "Spotlight Lecture" given at Victoria University of Wellington on Tuesday, 17th April 2018. The purpose of the lecture was to inform the general public and policy makers about the recent facebook-Cambrige Analytica case and discuss possible ways out of the dilemma where large data monopolies accumulate and sell personal data at scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2018-04-17-spotlight-lecture-2-180417030048-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of a public &quot;Spotlight Lecture&quot; given at Victoria University of Wellington on Tuesday, 17th April 2018. The purpose of the lecture was to inform the general public and policy makers about the recent facebook-Cambrige Analytica case and discuss possible ways out of the dilemma where large data monopolies accumulate and sell personal data at scale.
Not re-decentralizing the Web is not only a missed opportunity, it is irresponsible! from Markus Luczak-Ræ—¦sch
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Analysing literature through the lens of information theory and network science /slideshow/analysing-literature-through-the-lens-of-information-theory-and-network-science/85885953 poster-draft-180109031917
Poster that we presented alongside our demo at the ACM GROUP conference 2018 (paper: https://dl.acm.org/authorize?N42566). We demonstrated a system that leverages the Transcendental Information Cascades to build networks of information recurrence from English literature. Project description: https://vuw-fair.github.io/dickens-and-data-science/ Demo: https://stia.shinyapps.io/tlit/]]>

Poster that we presented alongside our demo at the ACM GROUP conference 2018 (paper: https://dl.acm.org/authorize?N42566). We demonstrated a system that leverages the Transcendental Information Cascades to build networks of information recurrence from English literature. Project description: https://vuw-fair.github.io/dickens-and-data-science/ Demo: https://stia.shinyapps.io/tlit/]]>
Tue, 09 Jan 2018 03:19:17 GMT /slideshow/analysing-literature-through-the-lens-of-information-theory-and-network-science/85885953 MLuczakRoesch@slideshare.net(MLuczakRoesch) Analysing literature through the lens of information theory and network science MLuczakRoesch Poster that we presented alongside our demo at the ACM GROUP conference 2018 (paper: https://dl.acm.org/authorize?N42566). We demonstrated a system that leverages the Transcendental Information Cascades to build networks of information recurrence from English literature. Project description: https://vuw-fair.github.io/dickens-and-data-science/ Demo: https://stia.shinyapps.io/tlit/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/poster-draft-180109031917-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Poster that we presented alongside our demo at the ACM GROUP conference 2018 (paper: https://dl.acm.org/authorize?N42566). We demonstrated a system that leverages the Transcendental Information Cascades to build networks of information recurrence from English literature. Project description: https://vuw-fair.github.io/dickens-and-data-science/ Demo: https://stia.shinyapps.io/tlit/
Analysing literature through the lens of information theory and network science from Markus Luczak-Ræ—¦sch
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Our World is Socio-technical /slideshow/our-world-is-sociotechnical/84025758 2017-12-13-socio-technical-world-171213203316
A talk given at the annual Computer Science for High School Teachers event at Victoria University of Wellington. I presented on some basics of the World Wide Web and why it's worth to preserve it, our work on non-expert tools to populate semantically enriched content, a current project to identify NZ native birds based on their calls that involves citizen science and contemporary deep learning using TensorFlow, a project that investigates the impact of online citizen science on the development of science capabilities of primary school children, and my collaboration with Adam Grener from the School of English, Film, Theater and Media Studies at VUW with whom I am working on computational tools for the literature studies.]]>

A talk given at the annual Computer Science for High School Teachers event at Victoria University of Wellington. I presented on some basics of the World Wide Web and why it's worth to preserve it, our work on non-expert tools to populate semantically enriched content, a current project to identify NZ native birds based on their calls that involves citizen science and contemporary deep learning using TensorFlow, a project that investigates the impact of online citizen science on the development of science capabilities of primary school children, and my collaboration with Adam Grener from the School of English, Film, Theater and Media Studies at VUW with whom I am working on computational tools for the literature studies.]]>
Wed, 13 Dec 2017 20:33:16 GMT /slideshow/our-world-is-sociotechnical/84025758 MLuczakRoesch@slideshare.net(MLuczakRoesch) Our World is Socio-technical MLuczakRoesch A talk given at the annual Computer Science for High School Teachers event at Victoria University of Wellington. I presented on some basics of the World Wide Web and why it's worth to preserve it, our work on non-expert tools to populate semantically enriched content, a current project to identify NZ native birds based on their calls that involves citizen science and contemporary deep learning using TensorFlow, a project that investigates the impact of online citizen science on the development of science capabilities of primary school children, and my collaboration with Adam Grener from the School of English, Film, Theater and Media Studies at VUW with whom I am working on computational tools for the literature studies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017-12-13-socio-technical-world-171213203316-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A talk given at the annual Computer Science for High School Teachers event at Victoria University of Wellington. I presented on some basics of the World Wide Web and why it&#39;s worth to preserve it, our work on non-expert tools to populate semantically enriched content, a current project to identify NZ native birds based on their calls that involves citizen science and contemporary deep learning using TensorFlow, a project that investigates the impact of online citizen science on the development of science capabilities of primary school children, and my collaboration with Adam Grener from the School of English, Film, Theater and Media Studies at VUW with whom I am working on computational tools for the literature studies.
Our World is Socio-technical from Markus Luczak-Ræ—¦sch
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Web of Data Usage Mining /MLuczakRoesch/web-of-data-usage-mining 2016-04-21-web-of-data-usage-mining-160421103628
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches. References: Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782. Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61. Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France. Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043. Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg. Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing. Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW. Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS. Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.]]>

Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches. References: Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782. Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61. Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France. Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043. Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg. Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing. Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW. Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS. Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.]]>
Thu, 21 Apr 2016 10:36:28 GMT /MLuczakRoesch/web-of-data-usage-mining MLuczakRoesch@slideshare.net(MLuczakRoesch) Web of Data Usage Mining MLuczakRoesch Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches. References: Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782. Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61. Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France. Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043. Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg. Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing. Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW. Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS. Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2016-04-21-web-of-data-usage-mining-160421103628-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches. References: Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., &amp; Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782. Elbedweihy, K., Wrigley, S. N., &amp; Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61. Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France. Arias, M., Fernández, J. D., Martínez-Prieto, M. A., &amp; de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043. Hartig, O., Bizer, C., &amp; Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg. Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... &amp; Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing. Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., &amp; Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW. Luczak-Rösch, M., &amp; Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS. Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
Web of Data Usage Mining from Markus Luczak-Ræ—¦sch
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Transcending our views to sequential data /slideshow/transcending-our-views-to-sequential-data/60857877 2016-04-13-big-data-lunchtime-lecture-160413101756
Invited talk given at the lunchtime lecture series on Big Data at the University of Southampton. References: Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973 Markus Luczak-Roesch, Ramine Tinati, Max van Kleek, and Nigel Shadbolt. 2015. From coincidence to purposeful flow? Properties of transcendental information cascades. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, FR. Tinati, Ramine, Luczak-Roesch, Markus, Hall, Wendy and Shadbolt, Nigel (2016) More than an edit: using transcendental information cascades to capture hidden structure in Wikipedia. At 25th International World Wide Web Conference, Montreal, Canada, 11 - 15 Apr 2016. ACM (doi:10.1145/2872518.2889401). Tinati, R., Luczak-Rösch, M., & Hall, W. Finding Structure in Wikipedia Edit Activity: An Information Cascade Approach . In WikiWorkshop 2016, co-located with WWW 2016.]]>

Invited talk given at the lunchtime lecture series on Big Data at the University of Southampton. References: Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973 Markus Luczak-Roesch, Ramine Tinati, Max van Kleek, and Nigel Shadbolt. 2015. From coincidence to purposeful flow? Properties of transcendental information cascades. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, FR. Tinati, Ramine, Luczak-Roesch, Markus, Hall, Wendy and Shadbolt, Nigel (2016) More than an edit: using transcendental information cascades to capture hidden structure in Wikipedia. At 25th International World Wide Web Conference, Montreal, Canada, 11 - 15 Apr 2016. ACM (doi:10.1145/2872518.2889401). Tinati, R., Luczak-Rösch, M., & Hall, W. Finding Structure in Wikipedia Edit Activity: An Information Cascade Approach . In WikiWorkshop 2016, co-located with WWW 2016.]]>
Wed, 13 Apr 2016 10:17:55 GMT /slideshow/transcending-our-views-to-sequential-data/60857877 MLuczakRoesch@slideshare.net(MLuczakRoesch) Transcending our views to sequential data MLuczakRoesch Invited talk given at the lunchtime lecture series on Big Data at the University of Southampton. References: Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973 Markus Luczak-Roesch, Ramine Tinati, Max van Kleek, and Nigel Shadbolt. 2015. From coincidence to purposeful flow? Properties of transcendental information cascades. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, FR. Tinati, Ramine, Luczak-Roesch, Markus, Hall, Wendy and Shadbolt, Nigel (2016) More than an edit: using transcendental information cascades to capture hidden structure in Wikipedia. At 25th International World Wide Web Conference, Montreal, Canada, 11 - 15 Apr 2016. ACM (doi:10.1145/2872518.2889401). Tinati, R., Luczak-Rösch, M., & Hall, W. Finding Structure in Wikipedia Edit Activity: An Information Cascade Approach . In WikiWorkshop 2016, co-located with WWW 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2016-04-13-big-data-lunchtime-lecture-160413101756-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited talk given at the lunchtime lecture series on Big Data at the University of Southampton. References: Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973 Markus Luczak-Roesch, Ramine Tinati, Max van Kleek, and Nigel Shadbolt. 2015. From coincidence to purposeful flow? Properties of transcendental information cascades. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, FR. Tinati, Ramine, Luczak-Roesch, Markus, Hall, Wendy and Shadbolt, Nigel (2016) More than an edit: using transcendental information cascades to capture hidden structure in Wikipedia. At 25th International World Wide Web Conference, Montreal, Canada, 11 - 15 Apr 2016. ACM (doi:10.1145/2872518.2889401). Tinati, R., Luczak-Rösch, M., &amp; Hall, W. Finding Structure in Wikipedia Edit Activity: An Information Cascade Approach . In WikiWorkshop 2016, co-located with WWW 2016.
Transcending our views to sequential data from Markus Luczak-Ræ—¦sch
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The Web Science MacroScope: Mixed-methods Approach for Understanding Web Activity /slideshow/the-web-science-macroscope-mixedmethods-approach-for-understanding-web-activity/59734736 2016-03-18-quest-soton-macroscope-upload-160318162857
Invited talk given at the QUEST (Qualitative Experise at Southampton, http://www.quest.soton.ac.uk/) group event (http://www.quest.soton.ac.uk/training/) on Qualitative Methods and Big Data.]]>

Invited talk given at the QUEST (Qualitative Experise at Southampton, http://www.quest.soton.ac.uk/) group event (http://www.quest.soton.ac.uk/training/) on Qualitative Methods and Big Data.]]>
Fri, 18 Mar 2016 16:28:57 GMT /slideshow/the-web-science-macroscope-mixedmethods-approach-for-understanding-web-activity/59734736 MLuczakRoesch@slideshare.net(MLuczakRoesch) The Web Science MacroScope: Mixed-methods Approach for Understanding Web Activity MLuczakRoesch Invited talk given at the QUEST (Qualitative Experise at Southampton, http://www.quest.soton.ac.uk/) group event (http://www.quest.soton.ac.uk/training/) on Qualitative Methods and Big Data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2016-03-18-quest-soton-macroscope-upload-160318162857-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited talk given at the QUEST (Qualitative Experise at Southampton, http://www.quest.soton.ac.uk/) group event (http://www.quest.soton.ac.uk/training/) on Qualitative Methods and Big Data.
The Web Science MacroScope: Mixed-methods Approach for Understanding Web Activity from Markus Luczak-Ræ—¦sch
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Context-free data analysis with Transcendental Information Cascades. /slideshow/contextfree-data-analysis-with-transcendental-information-cascades/56784118 2016-01-06-usrg-pitch-tic-160107135255
In order to discover hidden relationships and patterns in data streams from multiple heterogenous sources, we work on a method for exploratory data analysis. We disregard any system-specific context to generate generic networks of information co-occurrence. These networks allow for more informed sampling and filtering. Case specific context can be added once these networks have been created to support accurate decision making.]]>

In order to discover hidden relationships and patterns in data streams from multiple heterogenous sources, we work on a method for exploratory data analysis. We disregard any system-specific context to generate generic networks of information co-occurrence. These networks allow for more informed sampling and filtering. Case specific context can be added once these networks have been created to support accurate decision making.]]>
Thu, 07 Jan 2016 13:52:55 GMT /slideshow/contextfree-data-analysis-with-transcendental-information-cascades/56784118 MLuczakRoesch@slideshare.net(MLuczakRoesch) Context-free data analysis with Transcendental Information Cascades. MLuczakRoesch In order to discover hidden relationships and patterns in data streams from multiple heterogenous sources, we work on a method for exploratory data analysis. We disregard any system-specific context to generate generic networks of information co-occurrence. These networks allow for more informed sampling and filtering. Case specific context can be added once these networks have been created to support accurate decision making. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2016-01-06-usrg-pitch-tic-160107135255-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In order to discover hidden relationships and patterns in data streams from multiple heterogenous sources, we work on a method for exploratory data analysis. We disregard any system-specific context to generate generic networks of information co-occurrence. These networks allow for more informed sampling and filtering. Case specific context can be added once these networks have been created to support accurate decision making.
Context-free data analysis with Transcendental Information Cascades. from Markus Luczak-Ræ—¦sch
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From coincidence to purposeful flow? Properties of transcendental information cascades. /slideshow/from-coincidence-to-purposeful-flow-properties-of-transcendental-information-cascades/49320876 2015-06-12-informationcascades-invited-talk-oxford-150612153830-lva1-app6892
Invited talk given on 12-06-2015 at the University of Oxford, Oxford e-Research Centre. The talk introduces our notion of socio-technical computation as the implicit purposeful collective action of human collectives on the Web and transcendental information cascades as a means to capture this. Relevant references: [1] Luczak-Roesch, M., Tinati, R., Simperl, E., Van Kleek, M., Shadbolt, N., & Simpson, R. (2014). Why won't aliens talk to us? Content and community dynamics in online citizen science. Proceedings of the Eighth AAAI Conference on Weblogs and Social Media, {ICWSM} 2014, Ann Arbor, Michigan, USA, June 1-4, 2014. [2] Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 [3] Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973]]>

Invited talk given on 12-06-2015 at the University of Oxford, Oxford e-Research Centre. The talk introduces our notion of socio-technical computation as the implicit purposeful collective action of human collectives on the Web and transcendental information cascades as a means to capture this. Relevant references: [1] Luczak-Roesch, M., Tinati, R., Simperl, E., Van Kleek, M., Shadbolt, N., & Simpson, R. (2014). Why won't aliens talk to us? Content and community dynamics in online citizen science. Proceedings of the Eighth AAAI Conference on Weblogs and Social Media, {ICWSM} 2014, Ann Arbor, Michigan, USA, June 1-4, 2014. [2] Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 [3] Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973]]>
Fri, 12 Jun 2015 15:38:30 GMT /slideshow/from-coincidence-to-purposeful-flow-properties-of-transcendental-information-cascades/49320876 MLuczakRoesch@slideshare.net(MLuczakRoesch) From coincidence to purposeful flow? Properties of transcendental information cascades. MLuczakRoesch Invited talk given on 12-06-2015 at the University of Oxford, Oxford e-Research Centre. The talk introduces our notion of socio-technical computation as the implicit purposeful collective action of human collectives on the Web and transcendental information cascades as a means to capture this. Relevant references: [1] Luczak-Roesch, M., Tinati, R., Simperl, E., Van Kleek, M., Shadbolt, N., & Simpson, R. (2014). Why won't aliens talk to us? Content and community dynamics in online citizen science. Proceedings of the Eighth AAAI Conference on Weblogs and Social Media, {ICWSM} 2014, Ann Arbor, Michigan, USA, June 1-4, 2014. [2] Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 [3] Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2015-06-12-informationcascades-invited-talk-oxford-150612153830-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited talk given on 12-06-2015 at the University of Oxford, Oxford e-Research Centre. The talk introduces our notion of socio-technical computation as the implicit purposeful collective action of human collectives on the Web and transcendental information cascades as a means to capture this. Relevant references: [1] Luczak-Roesch, M., Tinati, R., Simperl, E., Van Kleek, M., Shadbolt, N., &amp; Simpson, R. (2014). Why won&#39;t aliens talk to us? Content and community dynamics in online citizen science. Proceedings of the Eighth AAAI Conference on Weblogs and Social Media, {ICWSM} 2014, Ann Arbor, Michigan, USA, June 1-4, 2014. [2] Markus Luczak-Roesch, Ramine Tinati, Kieron O&#39;Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work &amp; Social Computing (CSCW&#39;15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 [3] Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973
From coincidence to purposeful flow? Properties of transcendental information cascades. from Markus Luczak-Ræ—¦sch
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When resources collide: Towards a theory of coincidence in information spaces (talk given at #SOCM2015) /MLuczakRoesch/when-resources-collide-towards-a-theory-of-coincidence-in-information-spaces-talk-given-at-socm2015 flow-pitch-new-150518125444-lva1-app6892
We work on a theory to facilitate data analysis for discovery of meaningful collective information sharing patterns in very large data streams. By focusing only on coincidence of information occurrence, we can capture and analyse emergent collective action across system boundaries and independent from social network contexts. References: Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973]]>

We work on a theory to facilitate data analysis for discovery of meaningful collective information sharing patterns in very large data streams. By focusing only on coincidence of information occurrence, we can capture and analyse emergent collective action across system boundaries and independent from social network contexts. References: Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973]]>
Mon, 18 May 2015 12:54:44 GMT /MLuczakRoesch/when-resources-collide-towards-a-theory-of-coincidence-in-information-spaces-talk-given-at-socm2015 MLuczakRoesch@slideshare.net(MLuczakRoesch) When resources collide: Towards a theory of coincidence in information spaces (talk given at #SOCM2015) MLuczakRoesch We work on a theory to facilitate data analysis for discovery of meaningful collective information sharing patterns in very large data streams. By focusing only on coincidence of information occurrence, we can capture and analyse emergent collective action across system boundaries and independent from social network contexts. References: Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/flow-pitch-new-150518125444-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We work on a theory to facilitate data analysis for discovery of meaningful collective information sharing patterns in very large data streams. By focusing only on coincidence of information occurrence, we can capture and analyse emergent collective action across system boundaries and independent from social network contexts. References: Markus Luczak-Roesch, Ramine Tinati, Kieron O&#39;Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work &amp; Social Computing (CSCW&#39;15 Companion). ACM, New York, NY, USA, 139-142. http://doi.acm.org/10.1145/2685553.2698991 Markus Luczak-Roesch, Ramine Tinati, and Nigel Shadbolt. 2015. When Resources Collide: Towards a Theory of Coincidence in Information Spaces. To appear in WWW’15 Companion, May 18–22, 2015, Florence, Italy. http://dx.doi.org/10.1145/2740908.2743973
When resources collide: Towards a theory of coincidence in information spaces (talk given at #SOCM2015) from Markus Luczak-Ræ—¦sch
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Observation and Analysis of Social Machines /slideshow/observation-and-analysis-of-social-machines/39250244 sociam-cases-mlr-140918105130-phpapp01
Talk given at the Southampton Data Analysis Workshop (18.-19. September 2014) about the analysis of the Zooniverse citizen science platform and WikiProjects as a subset of Wikipedia.]]>

Talk given at the Southampton Data Analysis Workshop (18.-19. September 2014) about the analysis of the Zooniverse citizen science platform and WikiProjects as a subset of Wikipedia.]]>
Thu, 18 Sep 2014 10:51:30 GMT /slideshow/observation-and-analysis-of-social-machines/39250244 MLuczakRoesch@slideshare.net(MLuczakRoesch) Observation and Analysis of Social Machines MLuczakRoesch Talk given at the Southampton Data Analysis Workshop (18.-19. September 2014) about the analysis of the Zooniverse citizen science platform and WikiProjects as a subset of Wikipedia. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sociam-cases-mlr-140918105130-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given at the Southampton Data Analysis Workshop (18.-19. September 2014) about the analysis of the Zooniverse citizen science platform and WikiProjects as a subset of Wikipedia.
Observation and Analysis of Social Machines from Markus Luczak-Ræ—¦sch
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Zooniverse - Through the Observatory /MLuczakRoesch/zooniverse-through-the-observatory zooniverse-talk-analysis-mlr-oxford-140311054152-phpapp01
Zooniverse is a multi-project platform for online citizen science projects, a well-regarded way of solving tasks by support of a large group of human participants, which are too complex for today's purely computational systems. But citizen science is not a game. A number of serendipitous citizen-led discoveries led to scientific insight the projects never planned to achieve. Source for these discoveries were discussion forums, which were used by the participants in an autonomous fashion to discuss 'interesting things' beyond the pure crowdsourcing workflow. This presentation is about the results of a broad study of the community and content dynamics on the Zooniverse platform, the first study of that kind, focusing multiple projects and the emergent cross-project effects.]]>

Zooniverse is a multi-project platform for online citizen science projects, a well-regarded way of solving tasks by support of a large group of human participants, which are too complex for today's purely computational systems. But citizen science is not a game. A number of serendipitous citizen-led discoveries led to scientific insight the projects never planned to achieve. Source for these discoveries were discussion forums, which were used by the participants in an autonomous fashion to discuss 'interesting things' beyond the pure crowdsourcing workflow. This presentation is about the results of a broad study of the community and content dynamics on the Zooniverse platform, the first study of that kind, focusing multiple projects and the emergent cross-project effects.]]>
Tue, 11 Mar 2014 05:41:52 GMT /MLuczakRoesch/zooniverse-through-the-observatory MLuczakRoesch@slideshare.net(MLuczakRoesch) Zooniverse - Through the Observatory MLuczakRoesch Zooniverse is a multi-project platform for online citizen science projects, a well-regarded way of solving tasks by support of a large group of human participants, which are too complex for today's purely computational systems. But citizen science is not a game. A number of serendipitous citizen-led discoveries led to scientific insight the projects never planned to achieve. Source for these discoveries were discussion forums, which were used by the participants in an autonomous fashion to discuss 'interesting things' beyond the pure crowdsourcing workflow. This presentation is about the results of a broad study of the community and content dynamics on the Zooniverse platform, the first study of that kind, focusing multiple projects and the emergent cross-project effects. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zooniverse-talk-analysis-mlr-oxford-140311054152-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Zooniverse is a multi-project platform for online citizen science projects, a well-regarded way of solving tasks by support of a large group of human participants, which are too complex for today&#39;s purely computational systems. But citizen science is not a game. A number of serendipitous citizen-led discoveries led to scientific insight the projects never planned to achieve. Source for these discoveries were discussion forums, which were used by the participants in an autonomous fashion to discuss &#39;interesting things&#39; beyond the pure crowdsourcing workflow. This presentation is about the results of a broad study of the community and content dynamics on the Zooniverse platform, the first study of that kind, focusing multiple projects and the emergent cross-project effects.
Zooniverse - Through the Observatory from Markus Luczak-Ræ—¦sch
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loomp - semantic content authoring /slideshow/loomp-semantic-content-authoring-ldow-2009-slides/32165292 ldow2009-slides-heese-140311050247-phpapp01
loomp is an RDFa editor and a content model, which degenerates a conventional document into atomic parts that represent the smallest entities an author wants to delimit (paragraphs, sentences, words,...). In the end a document consists of a mashup of several semantically annotated elements (by now only text elements). Elements can appear in multiple documents. The whole content network is stored as an RDF graph in a triple store. Thus loomp creates one content network that consists of documents which are interlinked because of the elements they share and a second content network which is based on annotations that are shared by elements or documents. The RDF graph may also be served separately via a Linked Data endpoint.]]>

loomp is an RDFa editor and a content model, which degenerates a conventional document into atomic parts that represent the smallest entities an author wants to delimit (paragraphs, sentences, words,...). In the end a document consists of a mashup of several semantically annotated elements (by now only text elements). Elements can appear in multiple documents. The whole content network is stored as an RDF graph in a triple store. Thus loomp creates one content network that consists of documents which are interlinked because of the elements they share and a second content network which is based on annotations that are shared by elements or documents. The RDF graph may also be served separately via a Linked Data endpoint.]]>
Tue, 11 Mar 2014 05:02:47 GMT /slideshow/loomp-semantic-content-authoring-ldow-2009-slides/32165292 MLuczakRoesch@slideshare.net(MLuczakRoesch) loomp - semantic content authoring MLuczakRoesch loomp is an RDFa editor and a content model, which degenerates a conventional document into atomic parts that represent the smallest entities an author wants to delimit (paragraphs, sentences, words,...). In the end a document consists of a mashup of several semantically annotated elements (by now only text elements). Elements can appear in multiple documents. The whole content network is stored as an RDF graph in a triple store. Thus loomp creates one content network that consists of documents which are interlinked because of the elements they share and a second content network which is based on annotations that are shared by elements or documents. The RDF graph may also be served separately via a Linked Data endpoint. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ldow2009-slides-heese-140311050247-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> loomp is an RDFa editor and a content model, which degenerates a conventional document into atomic parts that represent the smallest entities an author wants to delimit (paragraphs, sentences, words,...). In the end a document consists of a mashup of several semantically annotated elements (by now only text elements). Elements can appear in multiple documents. The whole content network is stored as an RDF graph in a triple store. Thus loomp creates one content network that consists of documents which are interlinked because of the elements they share and a second content network which is based on annotations that are shared by elements or documents. The RDF graph may also be served separately via a Linked Data endpoint.
loomp - semantic content authoring from Markus Luczak-Ræ—¦sch
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Statistical Analysis of Web of Data Usage /slideshow/statistical-analysis-of-web-of-data-usage-9869070/9869070 2011-10-24-evodyn-presentation-mlr-111025031523-phpapp02
Presentation as held at the "Workshop on Knowledge Evolution and Ontology Dynamics" co-located with ISWC 2011. Related to the paper http://ceur-ws.org/Vol-784/evodyn1.pdf]]>

Presentation as held at the "Workshop on Knowledge Evolution and Ontology Dynamics" co-located with ISWC 2011. Related to the paper http://ceur-ws.org/Vol-784/evodyn1.pdf]]>
Tue, 25 Oct 2011 03:15:21 GMT /slideshow/statistical-analysis-of-web-of-data-usage-9869070/9869070 MLuczakRoesch@slideshare.net(MLuczakRoesch) Statistical Analysis of Web of Data Usage MLuczakRoesch Presentation as held at the "Workshop on Knowledge Evolution and Ontology Dynamics" co-located with ISWC 2011. Related to the paper http://ceur-ws.org/Vol-784/evodyn1.pdf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2011-10-24-evodyn-presentation-mlr-111025031523-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation as held at the &quot;Workshop on Knowledge Evolution and Ontology Dynamics&quot; co-located with ISWC 2011. Related to the paper http://ceur-ws.org/Vol-784/evodyn1.pdf
Statistical Analysis of Web of Data Usage from Markus Luczak-Ræ—¦sch
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https://cdn.slidesharecdn.com/profile-photo-MLuczakRoesch-48x48.jpg?cb=1671392597 Faculty member at the School of Information Management, Victoria University of Wellington. Research areas: complex systems, emergence, information dynamics, computational social science, social informatics, socio-technical systems www.markus-luczak.de https://cdn.slidesharecdn.com/ss_thumbnails/2018-04-17-spotlight-lecture-2-180417030048-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/not-redecentralizing-the-web-is-not-only-a-missed-opportunity-it-is-irresponsible-94037042/94037042 Not re-decentralizing ... https://cdn.slidesharecdn.com/ss_thumbnails/poster-draft-180109031917-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/analysing-literature-through-the-lens-of-information-theory-and-network-science/85885953 Analysing literature t... https://cdn.slidesharecdn.com/ss_thumbnails/2017-12-13-socio-technical-world-171213203316-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/our-world-is-sociotechnical/84025758 Our World is Socio-tec...