Title: Domain Specific Semantic Validation of Schema.org Annotations,
Abstract: Since its unveiling in 2011, schema.org has become the de facto standard for
publishing semantically described structured data on the web, typically in the
form of web page annotations. The increasing adoption of schema.org facilitates
the growth of the web of data, as well as the development of automated agents
that operate on this data. Schema.org is a large heterogeneous vocabulary that
covers many domains. This is obviously not a bug, but a feature, since
schema.org aims to describe almost everything on the web, and the web is huge.
However, the heterogeneity of schema.org may cause a side effect, which is the
challenge of picking the right classes and properties for an annotation in a
certain domain, as well as keeping the annotation semantically consistent. In
this work, we introduce our rule based approach and an implementation of it for
validating schema.org annotations from two aspects: (a) the completeness of the
annotations in terms of a specified domain, (b) the semantic consistency of the
values based on pre-defined rules. We demonstrate our approach in the tourism
domain.