Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Suggesting novel but related topics: towards context-based support for knowledge model extension
Proceedings of the 10th international conference on Intelligent user interfaces
A semi-supervised incremental algorithm to automatically formulate topical queries
Information Sciences: an International Journal
Recommender System Technologies based on Argumentation 1
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Argumentation in Artificial Intelligence
Argumentation in Artificial Intelligence
DECIDE 2.0: a framework for intelligent processing of citizens' opinion in social media
Proceedings of the 13th Annual International Conference on Digital Government Research
Proceedings of the 14th Annual International Conference on Digital Government Research
A first approach to mining opinions as multisets through argumentation
AT'13 Proceedings of the Second international conference on Agreement Technologies
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Nowadays, governments are adopting Web 2.0 technologies for interacting with citizens, empowering them to share their views, react to issues of their concern and form opinion. In particular, social media play an important role in this context, due to their widespread use. For governments, a major technical challenge is the lack of automated intelligent tools for processing citizens' opinion in government social media. At the same time, during the last decade, argumentation theory has consolidated itself in Artificial Intelligence as a new paradigm for modeling common sense reasoning, with application in several areas, such as legal reasoning, multiagent systems, and decision support systems, among others. This paper outlines an argument-based approach for overcoming such challenge, combined with context-based information retrieval. Our ultimate aim is to combine context-based search and argumentation in a collaborative framework for managing (retrieving and publishing) service- and policy-related information in government-use social media tools.