Querying the argument corpus. The proposed framework facilitates searching based on the following criteria: i) search by scheme: "Give only the arguments from expert opinion for supporting the argument *antibiotics are not recommended for pregnant women*; ii) search by wikipedia metadata, in which specific wiki-related terms can be used to limit or refine the searching domain, such as 1) user: "Give all the arguments of Dr. Oz user against *eating meat*, 2) data: "List all the arguments posted from yesterday against *vaccinate against MMR*, or 3) location: "Give all the arguments of the users from Europe against *genetic modified food*.

By exploiting domain knowledge like Germany v *Europe*, the system is able to include in the answer the users from Germany too.

## 3 Running Scenario

Consider the debate regarding the topic of vaccination and whether it can cause autism in children. The hypothesis is attacked by a pediatrician who instantiates the argument from expert opinion pattern (see figure 3). A different opinion is given by a mother who correlates the MMR vaccine with autism, by filling the template for cause to effect argumentation scheme.When creating the arguments, the disputants can use standard terms and concepts provided by the imported ontologies in SMW, capability provided by the Semantic Gardening extension. Here, the cause field MMR vaccine is annotated with the concept "VO 0000731" defined in the *Vaccine Ontology* (www.violinet.org) by the subsumption chain: V O 0000731 v V O 0000641 v V O 0000001 v OBI 0000047 v MaterialEntity v IndependentContinuant v Continuant v *Entity*.

Fig. 3. Attacking the hypothesis based on the expert opinion scheme.

## 4 Discussion And Conclusion

Semantic wikis are exploited within a medical context for collaborative knowledge acquisition, annotation, and integration: WikiNeuron, WikiHit, WikiProteins, BOWiki, LexWiki, or the Hesperian Online Digital Library [3]. Our approach is in line with [4] which advocates the advantages of semantic wikis to exploit structured information.

Persuasive argumentation for consumer health care is analysed in [5] with the help of argumentation schemes. By enhancing drug consumers with the ability to annotate side effects might help the regulatory bodies or