Florentine Renaissance Drawings: A Linked Catalog for the Semantic Web

Klic, Lukas; Nelson, Jonathan K.; Pattuelli, M. Cristina; Provo, Alexandra

doi:10.1086/697276

Cited by 2 publications

(5 citation statements)

References 2 publications

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“…As linkages are given semantic relationships explicitly, users' query and navigation can be expanded to encounter relevant information that exceeds expectations, such as related corporate bodies, persons families (CPFs), events, temporal and spatial contexts. Furthermore, link-in and link-out linkages also assemble various perspective meanings to build up contextual knowledge clues for interpretation (Ali and Warraich, 2018;Cole et al, An investigation of linked data catalogues 2013; Gracy, 2015;Hawkins, 2021;Klic et al, 2018). Therefore, semantic serendipitous discovery can be achieved through toURIsm-based connections and their assemblage from diverse heterogeneous LD sources.…”

Section: Query and Browsementioning

confidence: 99%

“…Through LD aggregation, the same URI-based entity can combine link-in and link-out linkages together (Gracy, 2015), traversing over various sources to automatically build up an information graph or network composed of contextual pathways (Baker et al ., 2011; CLIR, 2011; Ermolaev et al ., 2015; Eyharabide et al ., 2019; Gracy, 2015; Lemmens, 2020; Lynch, 2014; Moi, 2020; Niu, 2016; Styles et al ., 2008; Tillman, 2016; Ullah et al ., 2018; Zeng et al ., 2013). Based on URI-based connections, each entity can assemble diverse contextual information (Ali and Warraich, 2018; Beene et al ., 2020; Hawkins, 2021; Klic et al ., 2018), such as social-document (Lynch, 2014), spatial and temporal (Klic et al ., 2018), biographical (Larson et al ., 2014), intellectual (ICA Experts Group on Archival Description, 2019) and conceptual context (Beene et al ., 2020; Ermolaev et al ., 2015; Oomen et al ., 2012). Furthermore, each contextual information pathway can be a useful basis for interpretation of data (Ali and Warraich, 2018; Cole et al ., 2013; Gracy, 2015; Hawkins, 2021; Klic et al ., 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, no matter whether an URI is designated with subject, predicate or object, all URIs are given clear semantic meanings. All relationships between entities expressed by predicates can be regarded explicitly as “semantic links” (Ali and Warraich, 2018; Alvite-Díez, 2021; Douglas et al ., 2018; Gonzales, 2014; Hawkins, 2021; Klic et al ., 2018; Niu, 2016; Oomen et al ., 2012; Styles et al ., 2008) and can be discoverable (Ali and Warraich, 2018; Niu, 2016). In addition to SPARQL query, all meaningful relationships can be used to facilitate semantic guidance, navigation and limitation during users’ querying and browsing LD traversing over disparate sources.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on URI-based connections, each entity can assemble diverse contextual information (Ali and Warraich, 2018; Beene et al ., 2020; Hawkins, 2021; Klic et al ., 2018), such as social-document (Lynch, 2014), spatial and temporal (Klic et al ., 2018), biographical (Larson et al ., 2014), intellectual (ICA Experts Group on Archival Description, 2019) and conceptual context (Beene et al ., 2020; Ermolaev et al ., 2015; Oomen et al ., 2012). Furthermore, each contextual information pathway can be a useful basis for interpretation of data (Ali and Warraich, 2018; Cole et al ., 2013; Gracy, 2015; Hawkins, 2021; Klic et al ., 2018). Actually, information graph is an important LD result aggregated from URI’s combined assemblage.…”

Section: Literature Reviewmentioning

confidence: 99%

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An investigation of linked data catalogue features in libraries, archives, and museums: a checklist approach

Chen

2023

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Purpose In this study, the distinctive functional features of linked data (LD) catalogues were investigated to contrast with existing online public access catalogues (OPACs) and discovery systems using a checklist approach. The checklist was derived from a literature review and is composed of 10 items as follows: self-descriptive and dynamic content for resource description, linkage to external LD sources and online services, aggregation of knowledge contexts into knowledge graphs (KGs), URI-based link discovery, representation and query of LD relationships, URI-based serendipitous discovery, keyword recommendation, faceted limitation and browsing, visualization and openness of data. Design/methodology/approach Ten functional features derived from the literature were checked against existing LD catalogues offered by libraries, archives and museums (LAMs). The LD catalogues were regarded as qualified subjects if they offered functional features that were distinct from current OPACs and discovery systems through URI-based enrichment and aggregation from various LD sources. In addition to individual organizations, LD union catalogues were also included. However, LD hubs, such as ISNI, OCLC WorldCat Entities, VIAF and Wikidata, were excluded. In total, six LD catalogues from LAMs were selected as subjects for examination. Findings First, LD catalogues provide similar KG information through URI combination, and KGs also facilitate information serendipity, including social-document, intellectual, conceptual, spatial and temporal contexts and networks of corporate bodies, persons and families (CPFs). Second, LD catalogues have transformed the “seek first and browse later” paradigm into a “seek or browse” paradigm by refreshing the browsing function of traditional card catalogues with preview and new options to facilitate LD identification and discovery. Third, LD catalogues have refined keyword recommendation with the addition of the following fields: person’s title, CPF relationships, entity type and LD source. Lastly, a virtual union LD catalogue is offered. Research limitations/implications The proposed checklist revealed the unique/improved functional features of LD catalogues, allowing further investigation and comparison. More cases from the fields of medicine, engineering science and so on will be required to make revisions to fine-tune the proposed checklist approach. Originality/value To the best of the author’s knowledge, this is the first study to propose a checklist of functional features for LD catalogues and examine what the results and features of LD catalogues have achieved and are supported by from ontologies across LAMs. The findings suggest that LD provides a viable alternative to catalogues. The proposed checklist and results pave the way for the future development of LD catalogues and next-generation catalogues and also provide a basis for the future study of LD catalogues from other fields to refine the proposed checklist.

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Section: Query and Browsementioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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An investigation of linked data catalogue features in libraries, archives, and museums: a checklist approach

Chen

2023

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“…Although there is currently no formal definition, heritage data is often used in reference to:  data generated from the documentation of heritage, be it capture/acquisition, processing/analysis or visualization, e.g. [6], [7];  ontology of heritage for applications in data management, archiving and web-based dissemination [8], [9].…”

Section: Heritage Datamentioning

confidence: 99%

The Role of Heritage Data Science in Digital Heritage

Albuerne

Grau-Bové

Strlič

2018

Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

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The advance of all forms of digital and virtual heritage alongside numerous heritage science and management applications have led to the generation of growing amounts of heritage data. This data is increasingly rich, diverse and powerful. To get the most out of heritage data, there is an evident need to effectively understand, manage and exploit it in a way that is sensitive towards its context, responding to its singularities, and that can allow heritage to keep up with global changes regarding expansion of digital technologies and the increasing role of data in decision making and policy development. Through conversations with industry and academia, as well as through their personal research in the field of cultural heritage, the authors have identified a need for enhanced training for data scientists to prepare them for working in the heritage sector. This paper first proposes a definition of the term heritage data, so far missing from the literature, and then presents the academic rationale behind the identified need for targeted training in data science for cultural heritage.

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Florentine Renaissance Drawings: A Linked Catalog for the Semantic Web

Cited by 2 publications

References 2 publications

An investigation of linked data catalogue features in libraries, archives, and museums: a checklist approach

An investigation of linked data catalogue features in libraries, archives, and museums: a checklist approach

The Role of Heritage Data Science in Digital Heritage

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