{'fraction_non_alphanumeric': 0.012440191387559809, 'fraction_numerical': 0.0, 'mean_word_length': 5.226190476190476, '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}}
Abstract ERIA: a web language for conceptual metadata integration and abstraction in the large

Conceptual schema integration can be exploited at the conceptual metadata level to provide organizations that deal with a large amount of data sources with an integrated view on the overall information managed. In this paper we discuss the kind of language that can be exploited for such conceptual-level integration tasks in the large, and we introduce the ER dialect called Abstract ERIA (AERIA). The introduction of such a language is based on theoretical considerations and on past experiences in conceptual schema integration. The language is provided with a Web compliant front-end concrete syntax based on OWL-DL to support the compact design of the schema and the definition of integration and abstraction relations between the schema elements. A formal semantic interpretation of the AERIA language is discussed; this interpretation allows for a translation of AERIA schemas into standard Web ontologies to support model reuse and exchange.