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2019

Rodosthenous, Christos; Michael, Loizos
Web-STAR: A Visual Web-Based IDE for a Story Comprehension System Journal Article
In: Theory and Practice of Logic Programming, vol. 19, no. 2, pp. 317–359, 2019.
Abstract | BibTeX | Tags: argumentation, collaboration, reasoning, story understanding, visual programming, web-based ide | Links:
@article{Rodosthenous2018d,
title = {Web-STAR: A Visual Web-Based IDE for a Story Comprehension System},
author = {Christos Rodosthenous and Loizos Michael},
url = {https://arxiv.org/abs/1808.00048
https://doi.org/10.1017/S1471068418000443
https://www.cambridge.org/core/journals/theory-and-practice-of-logic-programming/article/webstar-a-visual-webbased-ide-for-a-story-comprehension-system/4C8FBEF25DA523C19D36D625FB60E737},
doi = {10.1017/S1471068418000443},
year = {2019},
date = {2019-03-01},
journal = {Theory and Practice of Logic Programming},
volume = {19},
number = {2},
pages = {317--359},
abstract = {We present Web-STAR, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation. The platform includes a web-based IDE, integration with the STAR system, and a web service infrastructure to support integration with other systems that rely on story understanding functionality to complete their tasks. The platform also delivers a number of "social" features, including a community repository for public story sharing with a built-in commenting system, and tools for collaborative story editing that can be used for team development projects and for educational purposes. },
keywords = {argumentation, collaboration, reasoning, story understanding, visual programming, web-based ide},
pubstate = {published},
tppubtype = {article}
}
2017

Rodosthenous, Christos; Michael, Loizos
Web-STAR : Towards a Visual Web-Based IDE for a Story Comprehension System Workshop
2nd International Workshop on User-Oriented Logic Paradigms (IULP2017), Espoo, Finland, 2017.
Abstract | BibTeX | Tags: argumentation, collaboration, reasoning, story understanding, visual programming, web-based ide | Links:
@workshop{Rodosthenous2017b,
title = {Web-STAR : Towards a Visual Web-Based IDE for a Story Comprehension System},
author = {Christos Rodosthenous and Loizos Michael},
url = {https://arxiv.org/pdf/1706.06954.pdf
http://cognition-srv1.ouc.ac.cy/webstar/},
year = {2017},
date = {2017-01-01},
booktitle = {2nd International Workshop on User-Oriented Logic Paradigms (IULP2017)},
address = {Espoo, Finland},
abstract = {In this work, we present Web-STAR, an online platform for story understanding built on top of the STAR (STory comprehension through ARgumentation) reasoning engine. This platform includes a web-based IDE, integration with the STAR system and a web service infrastructure to support integration with other systems that rely on story understanding functionality to complete their tasks. The platform also delivers a number of "social" features like public story sharing with a built-in commenting system, a public repository for sharing stories with the community and collaboration tools that can be used from both project team members for development and educators for teaching. Moreover, we discuss the ongoing work on adding new features and functionality to this platform. },
keywords = {argumentation, collaboration, reasoning, story understanding, visual programming, web-based ide},
pubstate = {published},
tppubtype = {workshop}
}
2014

Rodosthenous, Christos; Michael, Loizos
Gathering Background Knowledge for Story Understanding through Crowdsourcing Inproceedings
In: Proceedings of the 5th Workshop on Computational Models of Narrative (CMN 2014), pp. 154–163, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Quebec, Canada, 2014, ISSN: 21906807.
Abstract | BibTeX | Tags: 154, 2014, 4230, and phrases story understanding, cmn, crowdsourcing, digital object identifier 10, knowledge representation, oasics, reasoning | Links:
@inproceedings{Rodosthenous2014b,
title = {Gathering Background Knowledge for Story Understanding through Crowdsourcing},
author = {Christos Rodosthenous and Loizos Michael},
url = {https://www.christosrodosthenous.info/wp-content/uploads/2018/02/20.pdf
http://drops.dagstuhl.de/portals/oasics/index.php?semnr=14007},
doi = {10.4230/OASIcs.CMN.2014.154},
issn = {21906807},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 5th Workshop on Computational Models of Narrative (CMN 2014)},
volume = {41},
pages = {154--163},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Quebec, Canada},
abstract = {Successfully comprehending stories involves integration of the story information with the reader's own background knowledge. A prerequisite, then, of building automated story understanding systems is the availability of such background knowledge. We take the approach that knowledge appropriate for story understanding can be gathered by sourcing the task to the crowd. Our methodology centers on breaking this task into a sequence of more specific tasks, so that human participants not only identify relevant knowledge, but also convert it into a machine-readable form, generalize it, and evaluate its appropriateness. These individual tasks are presented to human participants as missions in an online game, offering them, in this manner, an incentive for their participation. We report on an initial deployment of the game, and discuss our ongoing work for integrating the knowledge gathering task into a full-fledged story understanding engine},
keywords = {154, 2014, 4230, and phrases story understanding, cmn, crowdsourcing, digital object identifier 10, knowledge representation, oasics, reasoning},
pubstate = {published},
tppubtype = {inproceedings}
}