{
    "o:id": 12937,
    "url": "https://chloe.cnr.it/s/BiDiAr/item/12937",
    "o:resource_template": "Conference Paper",
    "o:resource_class": "fabio:ConferencePaper",
    "dcterms:title": [
        "Taming Ambiguity - Dealing with doubts in archaeological datasets using LOD"
    ],
    "dcterms:creator": [
        "Thiery, Florian",
        "Mees, Allard"
    ],
    "dcterms:publisher": [
        "Tübingen University Press"
    ],
    "dcterms:date": [
        "2023"
    ],
    "dcterms:language": [
        "eng"
    ],
    "dcterms:abstract": [
        "The Linked Data Cloud is full of controlled resources, which quality is in fact  difficult to handle. Firstly, each resource collection, e.g. a thesaurus, is cooking  its own soup related to its research context. Secondly, conceptualisation of  Linked Open Data (LOD) assumes standardised data, but in reality, either generic  concepts or real instances exist. Thirdly, archaeological items are usually  related to generic instances in the LOD cloud, based on their object oriented  nature. Describing these relations by modelling archaeological assumptions  causes ambiguities which have to be tamed in order to guarantee data quality  which can be reused. In this paper we will demonstrate this in three examples  from the databases of the Römisch-Germanisches Zentralmuseum Mainz and  are proposing ways to solve the handling of ambiguities with a software framework  called Academic Meta Tool (AMT)."
    ],
    "bibo:doi": [
        "https://doi.org/10.15496/publikation-87762"
    ],
    "bibo:uri": [
        "https://publikationen.uni-tuebingen.de/xmlui/handle/10900/146421"
    ],
    "foaf:homepage": [
        "https://www.zotero.org/groups/5293298/bidiar/items/8SYWXCNK/item-list"
    ]
},