Exploring Linked Data for the Automatic Enrichment of Historical Archives

Munnelly, Gary; Pandit, Harshvardhan J.; Lawless, Séamus

doi:10.1007/978-3-319-98192-5_57

Cited by 5 publications

(9 citation statements)

References 17 publications

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“…Other existing approaches publish more specific cultural heritage data types (e.g., biography, artworks, and cultural heritage buildings) as Linked Open Data. The authors of [34,35] create an Irish CH knowledge base based on CIDOC-CRM, whose knowledge is derived from the Dictionary of Irish biography and linked to DBpedia. The work presented in [36] proposes that open linked data from the data on artworks and authors of the web portal of the Russian Museum be published.…”

Section: Related Workmentioning

confidence: 99%

“…Existing approaches use semantic representation, mainly based on CIDOC-CRM vocabulary, to publish open data, gather different data sources, and facilitate the search and navigation of cultural heritage. However, only a few of them [34][35][36] exploit the strength of existing Linked Open Data, such as DBpedia. The approach presented in this study proposes the exploitation of the rich interlinking of Wikidata entities to gather and collect information from different sources of Linked Open Data.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage

Ponciano¹,

Prudhomme²,

Boochs³

2021

Remote Sensing

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The signature of the 2019 Declaration of Cooperation on advancing the digitization of cultural heritage in Europe shows the important role that the 3D digitization process plays in the safeguard and sustainability of cultural heritage. The digitization also aims at sharing and presenting cultural heritage. However, the processing steps of data acquisition to its presentation requires an interdisciplinary collaboration, where understanding and collaborative work is difficult due to the presence of different expert knowledge involved. This study proposes an end-to-end method from the cultural data acquisition to its presentation thanks to explicit semantics representing the different fields of expert knowledge intervening in this process. This method is composed of three knowledge-based processing steps: (i) a recommendation process of acquisition technology to support cultural data acquisition; (ii) an object recognition process to structure the unstructured acquired data; and (iii) an enrichment process based on Linked Open Data to document cultural objects with further information, such as geospatial, cultural, and historical information. The proposed method was applied in two case studies concerning the watermills of Ephesos terrace house 2 and the first Sacro Monte chapel in Varallo. These application cases show the proposed method’s ability to recognize and document digitized cultural objects in different contexts thanks to the semantics.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage

Ponciano¹,

Prudhomme²,

Boochs³

2021

Remote Sensing

View full text Add to dashboard Cite

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“…Furthermore, some researchers have investigated the effect of issues frequently found in historical documents on the task of EL [13,20]. Some NER and EL systems dedicated to historical documents have also been explored [16,23,24,28]. For instance, van Hooland et al [16] evaluated three thirdparty entity extraction services through a comprehensive case study, based on the descriptive fields of the Smithsonian Cooper-Hewitt National Design Museum in New York.…”

Section: Entity Linking For Historical Datamentioning

confidence: 99%

“…Ruiz and Poibeau [28] used DBpedia Spotlight tool to disambiguate named entities on Bentham's manuscripts. Finally, Munnelly and Lawless [24] investigated the accuracy and overall suitability of EL systems in 17 th century depositions obtained during the 1641 Irish Rebellion.…”

Section: Entity Linking For Historical Datamentioning

confidence: 99%

Entity Linking for Historical Documents: Challenges and Solutions

Pontes

Cabrera-Diego

Moreno³

et al. 2020

Digital Libraries at Times of Massive Societal Transition

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Named entities (NEs) are among the most relevant type of information that can be used to efficiently index and retrieve digital documents. Furthermore, the use of Entity Linking (EL) to disambiguate and relate NEs to knowledge bases, provides supplementary information which can be useful to differentiate ambiguous elements such as geographical locations and peoples' names. In historical documents, the detection and disambiguation of NEs is a challenge. Most historical documents are converted into plain text using an optical character recognition (OCR) system at the expense of some noise. Documents in digital libraries will, therefore, be indexed with errors that may hinder their accessibility. OCR errors affect not only document indexing but the detection, disambiguation, and linking of NEs. This paper aims at analysing the performance of different EL approaches on two multilingual historical corpora, CLEF HIPE 2020 (English, French, German) and NewsEye (Finnish, French, German, Swedish), while proposes several techniques for alleviating the impact of historical data problems on the EL task. Our findings indicate that the proposed approaches not only outperform the baseline in both corpora but additionally they considerably reduce the impact of historical document issues on different subjects and languages.

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“…Past and ongoing attempts to take advantage of automatic enrichment tools in the field of CH have demonstrated the great potential of AI techniques, e.g., entity linking for the enrichment of Irish Historical Archives [7], in the Apollonis (https://apollonisinfrastructure.gr) project for digital humanities, and the Visual Recognition for Cultural Heritage project (https://www.projectcest.be/wiki/Bestand:VR4CH_rapport_1-0.pdf). However, resorting to purely automatic methods has also revealed a number of technical and methodological limitations that deter the effectiveness, scalability, and reuse potential of automatic enrichment tools as well as the degree to which these are exploited by the CH institutions.…”

Section: Introductionmentioning

confidence: 99%

CrowdHeritage: Crowdsourcing for Improving the Quality of Cultural Heritage Metadata

Kaldeli

Menis-Mastromichalakis

Bekiaris

et al. 2021

Information

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The lack of granular and rich descriptive metadata highly affects the discoverability and usability of cultural heritage collections aggregated and served through digital platforms, such as Europeana, thus compromising the user experience. In this context, metadata enrichment services through automated analysis and feature extraction along with crowdsourcing annotation services can offer a great opportunity for improving the metadata quality of digital cultural content in a scalable way, while at the same time engaging different user communities and raising awareness about cultural heritage assets. To address this need, we propose the CrowdHeritage open end-to-end enrichment and crowdsourcing ecosystem, which supports an end-to-end workflow for the improvement of cultural heritage metadata by employing crowdsourcing and by combining machine and human intelligence to serve the particular requirements of the cultural heritage domain. The proposed solution repurposes, extends, and combines in an innovative way general-purpose state-of-the-art AI tools, semantic technologies, and aggregation mechanisms with a novel crowdsourcing platform, so as to support seamless enrichment workflows for improving the quality of CH metadata in a scalable, cost-effective, and amusing way.

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Exploring Linked Data for the Automatic Enrichment of Historical Archives

Cited by 5 publications

References 17 publications

From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage

From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage

Entity Linking for Historical Documents: Challenges and Solutions

CrowdHeritage: Crowdsourcing for Improving the Quality of Cultural Heritage Metadata

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