Vastness: The internet is HUGE. It contains billions of page and the SNOMED CT medical terminology ontology alone includes 370,000 class names, and existing technology has not yet been able to eliminate all semantically duplicated terms. Any reasoning system which can read all this data and understand its functionality will have to be able to deal with vast amounts of data.

Vagueness: User queries are not really specific and can be extremely vague at the best of times. Fuzzy logic is used to deal with vagueness.

Uncertainty: The internet deals with scores of uncertain values. For example, a patient might present a set of symptoms that correspond to many different distinct diagnoses each with a different probability. Probabilistic reasoning techniques are generally employed to address uncertainty.

Inconsistency: Inconsistent data can lead to logical contradiction and unpredictive analysis.

Deceit: While AI can help in filtering data, what if all the data provided is intentionally wrong and misleading. Cryptography techniques are currently utilized to stop this problem.