Ontology Engineering for Linked Data: What Makes For A Good Ontology?

We present our on-going work of a methodology to create the target ontology and map- pings for an OBDA system, driven by a prioritized list of business questions. The objec- tive is

Tackling the limitations of existing approaches, we model a lightweight ontology for orchestrating linked data processing workflows, dubbed the Linked Data Workflow Project

This does not mean, however, that any PhD thesis with an empirical component is an empirical software engineering (ESE) thesis. The key characteristic of ESE theses is that they

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 proposed approach is based on the creation of a novel knowledge discovery method relying on the combination, through an iterative ‘feedback- loop’, of (a) data

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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

2. a) What is a quadtree data structure? Illustrate with some simple data. b) What is an octree data structure? Illustrate with some simple data. a) What is a good indexing method