{'fraction_non_alphanumeric': 0.015832805573147563, 'fraction_numerical': 0.0037998733375554147, 'mean_word_length': 5.076923076923077, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
What's in a Federation? Extending Data Dictionaries with Knowledge Representation Techniques

Databases and knowledge representation languages have a rather different view upon data: knowledge representation languages describe a universe of discourse in a taxonomy and allow a user to ask epistemic questions against the relationships between concepts and roles. However, no data structures, data locations, nor any information about the existence or availability of data can be found in a taxonomy -even not if it includes an assertion that describes a particular data item. In the remainder of this paper we will briefly introduce a module that coordinates a federation of systems and that hosts a central data dictionary. It is the module, which we will extend to provide users with an entity view upon the information available in a federation. We introduce the logical architecture of a prototypical implementation of this module in section 2 and describe some extensions that we made in section 3. In section 4 we specify some ideas of the mentioned extension, conclude in section 5 and give some literature in section 6. Relational databases provide users with schemata. Schemata describe in detail the data structures of sets of persistent data items. Data dictionaries, included in these systems, tell about data existence and its availability. Anyway, these tools do not provide the entity view, relationships between entities are merely implicit, and no question about the universe of discourse that is behind a schema will get an answer. 2. The Federal System Manager