{'fraction_non_alphanumeric': 0.01641025641025641, 'fraction_numerical': 0.0, 'mean_word_length': 5.731034482758621, '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}}
An ontology-based framework for semantic resolution in data exchange

Semantic interoperability among heterogeneous information sources continues to pose enormous challenges to the collaborative design and other communities. In this paper a two-level ontology framework to resolving semantic conflicts in data exchange process is proposed. The top-level ontology defines generic application domain mediation concepts while task-level ontologies represent domain-related understanding. They are connected by semantic mappings, which provide top-level ontology as a mediator by translating the local schema to a common data model. A semi-automatic procedure that assists users to discover plausible semantic relationships between two types of ontology is introduced. Finally, we give an example from a product design scenario, which XML and RDF are chosen as standard syntax and semantic representing language respectively relying on the description and reasoning capabilities.