{
    "o:id": 15809,
    "url": "https://chloe.cnr.it/s/BiDiAr/item/15809",
    "o:resource_template": "Book Section",
    "o:resource_class": "bibo:BookSection",
    "dcterms:title": [
        "Identifying specialisation domains beyond taxonomies: mapping scientific and technological domains of specialisation via semantic analyses"
    ],
    "dcterms:creator": [
        "Fuster, Enric",
        "Massucci, Francesco A.",
        "Matusiak, Monika"
    ],
    "dcterms:publisher": [
        "Edward Elgar Publishing"
    ],
    "dcterms:date": [
        "2020"
    ],
    "dcterms:language": [
        "eng"
    ],
    "dcterms:abstract": [
        "This chapter focuses on new methods that can be used at the interface of science and policy for the identification of the localised domains of specialisation in science and technology. The authors explore semantic methodologies which, by analysing the textual content of science and innovation-related documents (such as policy and project descriptions, scientific publications, patents, clinical trials, and so on) go beyond classifications, allowing emergent topics and domains to be identified, as well as mapping and benchmarking the local capabilities in specific domains of interest."
    ],
    "dcterms:isPartOf": [
        "Quantitative Methods for Place-Based Innovation Policy"
    ],
    "bibo:isbn": [
        "978-1-78990-551-9"
    ],
    "bibo:pages": [
        "195-234"
    ],
    "bibo:shortTitle": [
        "Identifying specialisation domains beyond taxonomies"
    ],
    "bibo:uri": [
        "https://www.elgaronline.com/edcollchap/edcoll/9781789905502/9781789905502.00014.xml"
    ],
    "foaf:homepage": [
        "https://www.zotero.org/groups/5293298/bidiar/items/6Y54JXAS/item-list"
    ]
},