The Argument Interchange Format (AIF) is an international effort to develop a representational mechanism for exchanging argument resources between research groups, tools, and domains using a semantically rich language. AIF traces its history back to a 2005 colloquium in Budapest. The result of the work in Budapest was first published as a draft description in 2006.[1] Building on this foundation, further work then used the AIF to build foundations for the Argument Web.[2][3]

AIF-RDF is the extended ontology represented in the Resource Description Framework Schema (RDFS) semantic language.

The Argument Interchange Format introduces a small set of ontological concepts that aim to capture a common understanding of argument -- one that works in multiple domains (both domains of argumentation and also domains of academic research), so that data can be shared and re-used across different projects in different areas. These ontological concepts are:[1]

  • Information (I-nodes)
  • Applications of Rules of Inference (RA-nodes)
  • Applications of Rules of Conflict (CA-nodes)
  • Applications of Rules of Preference (PA-nodes)

extended by:[2]

  • Schematic Forms (F-nodes) that are instantiated by RA, CA and PA nodes

The AIF has reifications in a variety of development environments and implementation languages including

  • MySQL database schema
  • RDF
  • Prolog
  • JSON

as well as translations to visual languages such as DOT and SVG.

AIF data[4] can be accessed online at AIFdb.

See also

References

  1. 1 2 Chesnevar, Carlos, Sanjay Modgil, Iyad Rahwan, Chris Reed, Guillermo Simari, Matthew South, Gerard Vreeswijk, and Steven Willmott. "Towards an argument interchange format." The knowledge engineering review 21, no. 4 (2006): 293-316.
  2. 1 2 Bex, Floris; Lawrence, John; Snaith, Mark; Reed, Chris (October 2013). "Implementing the argument web". Communications of the ACM. 56 (10): 66–73. doi:10.1145/2500891. S2CID 14597714.
  3. Rahwan, Iyad; Zablith, Fouad; Reed, Chris (July 2007). "Laying the foundations for a World Wide Argument Web". Artificial Intelligence. 171 (10–15): 897–921. doi:10.1016/j.artint.2007.04.015. hdl:21.11116/0000-0002-FD5E-9.
  4. Lawrence, John; Bex, Floris; Reed, Chris; Snaith, Mark (2012). Verheij, Bart; Szeider, Stefan; Woltran, Stefan (eds.). AIFdb: infrastructure for the argument web. IOS Press. pp. 515–516.
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