Ontology-based analysis of the large collection of historical Hebrew manuscripts.
In this paper, we present a new semi-automatic methodology for construction of event-based ontology from the library catalogue of the largest collection in the world of metadata records of historical Hebrew manuscripts. Based on the constructed ontology, we developed and implemented a new framework...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 3; pp. 688 - 720 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Sep2020
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=146172321&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 146172321 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2020 vid: 35 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 146172321 10.1093/llc/fqz058 ppf: 688 ppct: 32 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.7MB tig: atl: Ontology-based analysis of the large collection of historical Hebrew manuscripts. aug: au: Zhitomirsky-Geffet, Maayan affil: Department of Information Science , Bar-Ilan University, Ramat Gan, 5290002, Israel su: Library catalogs Manuscripts Metadata Collections Ontologies (Information retrieval) sug: subj: Library catalogs Manuscripts Metadata Collections Ontologies (Information retrieval) ab: In this paper, we present a new semi-automatic methodology for construction of event-based ontology from the library catalogue of the largest collection in the world of metadata records of historical Hebrew manuscripts. Based on the constructed ontology, we developed and implemented a new framework for catalogue data enrichment, correction, and its systematic quantitative analysis. Finally, we demonstrate the results of the proposed large-scale analysis of three most prominent event types in the corpus, as well as a few cross-event relations and trends. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
|---|