The humanities are centered around textual narratives – journal articles and books. These narratives use various styles, language and categorisations. Historians, social scientists, archaeologists, sociologists, psychologists, anthropologists, politicians, lawyers, philosophers, etc., use different categories to talk about the same people, events, processes and things. All these elements make alignment difficult and misinterpretation common. Despite the advantages of text as a descriptive narrative, unstructured text is impossible to synthesize in detail leaving humanities disciplines fragmented across their many specialisations and with other disciplines.
In data network frameworks the potential of interconnection are apparent, but these have also focused on artificial categorisation (vocabularies) which are impossible to align either technically and meaningfully. In other words, data system suffer from exactly the same type problem as textual narrative but without any form of mitigating contextualisation.
However, with semantic data frameworks based on humanities knowledge systems there is a possibility of crossing disciplinary boundaries. For difference to be compared and reconciled and for similarities of detail and pattern to be established – reducing fragmentation.
The ResearchSpace and CIDOC CRM provides that framework. Many other Linked Data schemas are not ontologies, although they may use the same technical conventions, and simply introduce more artificial categories without context resulting in more fragmentation, resulting no effective progression.