Ontology Learning from Open Linked Data and Web Snippets

To the best of our knowledge, our work is the first in conducting an analysis over properties with textual values; and also the first in generate a content pattern database from

Recently, museums embraced the Seman- tic Web as a means to make this data available to the world, but the experience so far shows that publishing museum data to the Linked Data

However, for the LOD on- tology matching task, this approach is unpromising, because different scopes of the authors of LOD data sets lead to large differences in the

The Privacy Preference Ontology (PPO) illustrated in fig- ure 1 provides: (1) a main class called PrivacyPreference that defines a privacy preference; (2) some properties to de- fine

To reach a description of the data model (that could be used for the Linked Archiv- al Data), it was necessary to take a further step: starting from the records describing

We found that while SIO has by far the largest number of matching con- cepts over other biomedical ontologies in BioPortal, neither SIO nor the other ontologies have complete

In this paper we shortly describe an abductive media interpretation agent, and based on a Mul- timedia Content Ontology we introduce partitioning techniques for huge sets

In the following two sections, we introduce DL prelimi- naries and discuss the adopted learning model. In Section 4, we identify two interesting fragments of EL, called EL rhs and