<script src="https://bibbase.org/show?bib=https%3A%2F%2Fapi.zotero.org%2Fgroups%2F2386895%2Fcollections%2FXX2NLPN2%2Fitems%3Fformat%3Dbibtex%26limit%3D100&jsonp%251&group0%25author_short&jsonp=1"></script>
<?php
$contents = file_get_contents("https://bibbase.org/show?bib=https%3A%2F%2Fapi.zotero.org%2Fgroups%2F2386895%2Fcollections%2FXX2NLPN2%2Fitems%3Fformat%3Dbibtex%26limit%3D100&jsonp%251&group0%25author_short");
print_r($contents);
?>
<iframe src="https://bibbase.org/show?bib=https%3A%2F%2Fapi.zotero.org%2Fgroups%2F2386895%2Fcollections%2FXX2NLPN2%2Fitems%3Fformat%3Dbibtex%26limit%3D100&jsonp%251&group0%25author_short"></iframe>
For more details see the documention.
To the site owner:
Action required! Mendeley is changing its API. In order to keep using Mendeley with BibBase past April 14th, you need to:
@book{nurmikko-fuller2024, address = {London New York}, series = {Digital research in the arts and humanities}, title = {Linked data for digital humanities}, isbn = {978-1-032-05518-3 978-1-032-05515-2}, language = {eng}, publisher = {Routledge, Taylor \& Francis Group}, author = {Nurmikko-Fuller, Terhi}, year = {2024}, }
@article{wittFindingRelatednessPathways2024, title = {Finding {Relatedness}: pathways for detecting textual relatedness in the medieval scholastic corpus}, copyright = {https://creativecommons.org/licenses/by-nc-nd/4.0/}, issn = {1769-7379}, shorttitle = {Finding {Relatedness}}, url = {https://journals.openedition.org/methodos/10987}, doi = {10.4000/12xql}, abstract = {To show the importance of preparing historical editions as textual data first, while leaving presentation (whether in print or on the web) as a secondary down-stream task, this article identifies beneficial outcomes for research that can be achieved through computational analysis when such a corpus of textual data is at hand. With a focus on the deep intertextuality characteristic of the medieval scholastic corpus, it reviews three distinct methods for detecting different forms of textual relatedness within the corpus: n-gram intersections, document embeddings, and convolution. In each case, special attention is given to how the availability of a domain specific knowledge graph helps us both properly prepare the corpus for analysis and visualize the results in ways that enhance research. Such results include observing trends in citation practices across different genres and sub-genres of the corpus, automatically grouping questions by similarity, and detecting sustained and uncited textual re-use.}, language = {en}, number = {24}, urldate = {2025-01-08}, journal = {Methodos. Savoirs et textes}, author = {Witt, Jeffrey C.}, month = jun, year = {2024}, note = {Number: 24 Publisher: Savoirs textes langage (UMR 8163)}, keywords = {Middle Ages, digital scholarly editions, embeddings, information retrieval, intertextuality, knowledge graph, n-grams, natural language processing, scholasticism}, }
@misc{zotero-22236, title = {{CIDOC} {CRM}, {Version} 7.1.3}, url = {https://cidoc-crm.org/Version/version-7.1.3}, urldate = {2025-01-01}, editor = {Bekiari, Chrysoula and Bruseker, George and Canning, Erin and Doerr, Martin and Michon, Philippe and Ore, Christian-Emil and Stead, Stephen and Velios, Athanasios}, month = feb, year = {2024}, }
@book{leonelli2023, address = {Cambridge}, series = {Elements in the {Philosophy} of {Science}}, title = {Philosophy of {Open} {Science}}, isbn = {978-1-009-41639-9}, shorttitle = {开放科学的理念}, url = {https://www.cambridge.org/core/elements/philosophy-of-open-science/0D049ECF635F3B676C03C6868873E406}, language = {en}, publisher = {Cambridge University Press}, author = {Leonelli, Sabina}, year = {2023}, note = {🏷️ /unread}, keywords = {/unread}, }
@article{beretta2021, title = {A challenge for historical research: {Making} data {FAIR} using a collaborative ontology management environment ({OntoME})}, volume = {12}, issn = {1085-3278}, shorttitle = {历史研究面临的挑战:利用协作式本体管理环境({OntoME})实现数据的公平与公正}, url = {https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/SW-200416}, doi = {10.3233/SW-200416}, abstract = {This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the symogih.org project’s ontology, it proposes a description of the essential aspects of the process of historical knowledge production. It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research. 【摘要翻译】本文探讨了历史研究和遗产机构生成的数据的互操作性问题,目的是使这些数据能够根据 FAIR 原则重新用于新的研究议程。在介绍了 symogih.org 项目的本体论之后,本文对历史知识生产过程的基本方面进行了描述。然后,它以基础本体 "建设性描述与情境 "和 "DOLCE "为基础,对应用于事实历史信息的概念数据模型进行了认识论和语义学分析,并讨论了采用 CIDOC CRM 作为历史研究领域核心本体的原因,同时对其进行了扩展,增加了一些相关的、缺失的高级类。最后,它还展示了在本体管理环境 OntoME 中开展的协作数据建模是如何在一个活跃的研究社区参与的情况下,为该领域创建一个共用的、细粒度的和自适应的本体的。有鉴于此,历史数据联盟于2017年成立,并推动在历史研究领域采用共享概念化。}, language = {en}, number = {2}, urldate = {2021-03-16}, journal = {Chronos}, author = {Beretta, Francesco}, editor = {Bikakis, Antonis and Markhoff, Beatrice and Mosca, Alessandro and Jean, Stephane and Hyvönen, Eero and Bikakis, Antonis and Hyvonen, Eero and Jean, Stéphane and Markhoff, Beatrice and Mosca, Alessandro}, month = jan, year = {2021}, note = {🏷️ /unread}, keywords = {/unread}, pages = {279--294}, }
@article{hawkins2021, title = {Archives, linked data and the digital humanities: increasing access to digitised and born-digital archives via the semantic web}, volume = {22}, issn = {1573-7500}, shorttitle = {档案、链接数据和数字人文学科:通过语义网增加对数字化和天生数字档案的利用}, url = {https://doi.org/10.1007/s10502-021-09381-0}, doi = {10.1007/s10502-021-09381-0}, abstract = {Mass digitisation and the exponential growth of born-digital archives over the past two decades have resulted in an enormous volume of archives and archival data being available digitally. This has produced a valuable but under-utilised source of large-scale digital data ripe for interrogation by scholars and practitioners in the Digital Humanities. However, current digitisation approaches fall short of the requirements of digital humanists for structured, integrated, interoperable, and interrogable data. Linked Data provides a viable means of producing such data, creating machine-readable archival data suited to analysis using digital humanities research methods. While a growing body of archival scholarship and praxis has explored Linked Data, its potential to open up digitised and born-digital archives to the Digital Humanities is under-examined. This article approaches Archival Linked Data from the perspective of the Digital Humanities, extrapolating from both archival and digital humanities Linked Data scholarship to identify the benefits to digital humanists of the production and provision of access to Archival Linked Data. It will consider some of the current barriers preventing digital humanists from being able to experience the benefits of Archival Linked Data evidenced, and to fully utilise archives which have been made available digitally. The article argues for increased collaboration between the two disciplines, challenges individuals and institutions to engage with Linked Data, and suggests the incorporation of AI and low-barrier tools such as Wikidata into the Linked Data production workflow in order to scale up the production of Archival Linked Data as a means of increasing access to and utilisation of digitised and born-digital archives. 【摘要翻译】在过去二十年里,大规模数字化和出生数字档案的指数式增长导致大量档案和档案数据以数字方式提供。这为数字人文领域的学者和从业人员提供了一个宝贵但未得到充分利用的大规模数字数据源。然而,当前的数字化方法并不能满足数字人文学者对结构化、集成化、可互操作和可查询数据的要求。关联数据(Linked Data)提供了生成此类数据的可行方法,创建了适合使用数字人文研究方法进行分析的机器可读档案数据。尽管越来越多的档案学术研究和实践探索了关联数据,但其向数字人文开放数字化和天生数字化档案的潜力还没有得到充分的研究。这篇文章从数字人文的角度来探讨档案关联数据,从档案和数字人文关联数据的学术研究中推断出制作和提供访问档案关联数据对数字人文学者的益处。文章将考虑当前阻碍数字人文学者体验档案关联数据所带来的好处,以及充分利用以数字方式提供的档案的一些障碍。文章主张加强这两个学科之间的合作,挑战个人和机构参与关联数据,并建议将人工智能和低障碍工具(比如维基数据)纳入到关联数据的生产工作流程中,以便扩大档案关联数据的生产规模,以此来增加数字化和天生数字化档案的获取和利用。}, language = {en}, urldate = {2022-01-14}, journal = {Archival Science}, author = {Hawkins, Ashleigh}, month = dec, year = {2021}, note = {🏷️ /unread}, keywords = {/unread}, pages = {52--76}, }
@incollection{clavaud2021, title = {{ICA} {Records} in {Contexts}-{Ontology} ({RiC}-{O}): a {Semantic} {Framework} for {Describing} {Archival} {Resources}}, shorttitle = {{ICA} 上下文记录-本体({RiC}-{O}):描述档案资源的语义框架}, url = {https://enc.hal.science/hal-03965776}, abstract = {This article gives an overview of the new Records in Contexts Ontology (RiC-O), which is available at https://www.ica.org/standards/RiC/ontology. This ontology is part of the Records in Contexts (RiC) standard, which has been developed by the International Council on Archives to describe and contextualize archival resources in a comprehensible way that goes beyond the possibilities of the existing archival standards. The article explains the rationale for developing a new standard for archival description, and particularly the ontology. It provides a quick overview of the RiC Conceptual Model and then focuses on RiC-O, its design principles and content and giving references to more precise documentation that is publicly available online. Finally, it presents the roadmap and future perspectives of RiC. 【摘要翻译】本文概述了新的 "情境中的记录 "本体(RiC-O),可从 https://www.ica.org/standards/RiC/ontology 获取。本体论是 "情境中的记录"(RiC)标准的一部分,该标准由国际档案理事会制定,旨在以一种超越现有档案标准的可理解方式描述档案资源并将其情境化。文章解释了制定档案描述新标准的理由,特别是本体。文章简要概述了 RiC 概念模型,然后重点介绍了 RiC-O、其设计原则和内容,并参考了网上公开的更精确的文档。最后,它介绍了 RiC 的路线图和未来展望。}, language = {en}, urldate = {2023-08-18}, author = {Clavaud, Florence and Wildi, Tobias}, year = {2021}, note = {🏷️ /unread}, keywords = {/unread}, pages = {p. 79}, }
@misc{evert2020, title = {The {IMS} {Open} {Corpus} {Workbench} ({CWB}) {CQP} {Query} {Language} {Tutorial}}, shorttitle = {{IMS开放式语料库工作台}({CWB}){CQP查询语言教程}}, url = {http://cwb.sourceforge.net/files/CQP_Tutorial.pdf}, language = {en}, urldate = {2021-06-01}, author = {Evert, Stefan and {CWB Development Team}}, month = may, year = {2020}, note = {🏷️ /unread}, keywords = {/unread}, }
@article{wurtz2020, title = {Archival {Linked} ({Open}) {Data}: {Empfehlungen} für bestehende {Metadaten} und {Massnahmen} für die {Zukunft} am {Fallbeispiel} des {Schweizerischen} {Sozialarchivs}}, volume = {6}, copyright = {Copyright (c) 2020 Fabian Würtz}, issn = {0302-9743}, shorttitle = {档案关联(开放)数据:对未来最佳元数据和 {Massnahmen} 的建议:以 {Schweizerischen} {Sozialarchivs} 为例}, url = {https://www.vr-elibrary.de/doi/10.13109/gege.2018.44.1.107}, doi = {10.18755/iw.2020.17}, abstract = {Eine Kernaufgabe der Archive ist die Erschliessung des Archivguts. Bisher wurden Archivbestände meist als hierarchische und isolierte Einheiten verzeichnet. Die zunehmende Digitalisierung, neue Fachbereiche wie die Digital Humanities oder Entwicklungen wie das Semantic Web bzw. Linked Open Data haben jedoch neue Ideen in die Archivwelt getragen. Einer der deutlichsten Vorboten dieser neuen Welt ist Records in Context (RiC). Der neue Verzeichnungsstandard des wichtigen International Council on Archives (ICA) ist konzeptionell auf Linked Open Data und das Semantic Web ausgerichtet. Doch was bedeutet es für die Archive, wenn aus den bisher isolierten Beständen verlinkte und maschinenlesbare Netzwerke entstehen sollen? Wie sollen archivalische Metadaten und Datenmodelle in Linked Open Data aussehen und an welche Qualitätsansprüche sollen diese neu berücksichtigen?Um diese Fragen zu beantworten hat die Arbeit das Konzept und die Technologien die Linked Open Data zugrunde liegen vorgestellt. Danach wurden Qualitätsmerkmale für Linked Open Data zusammengetragen und der momentane Stand von Linked Open Data im Archivbereich beleuchtet. Dabei wurde unter anderem bereits existierende Ansätze und Anwendungen aus dem Archivbereich vorgestellt und mit den Qualitätsmerkmalen verglichen. Die Überprüfung der Praxistauglichkeit der Qualitätsmerkmale erfolgte am Fallbeispiel der Metadaten des Schweizerischen Sozialarchivs.Auf Basis der erarbeitenden Resultate spricht die Arbeit eine Reihe von Empfehlungen aus. Diese richten sich an Archive, die sich mit dem Thema Linked Open Data beschäftigen oder eine Anwendung in diesem Bereich planen. 【摘要翻译】对档案的重新定义是对档案内容的清除。在此之前,档案馆只是一个等级森严的独立机构。但随着数字化进程的发展,数字人文等新学科以及语义网(Semantic Web)和关联开放数据(Linked Open Data)等新技术的出现,档案界又有了新的想法。语境记录(RiC)是新世界中最重要的工具之一。国际档案理事会(ICA)的新标准是以关联开放数据(Linked Open Data)和语义网(Semantic Web)为基础的。那么,对于档案馆来说,如果在之前的异构数据库中出现了链接式和大规模的网络,这又有什么意义呢?关联开放数据中的档案元数据和数据模型是如何形成的?随后,对关联式开放数据的质量进行了分析,并对关联式开放数据在档案馆中的地位进行了说明。Dabei wurde unter anderem bereits existierende Ansätze und Anwendungen aus dem Archivbereich vorgestellt und mit den Qualitätsmerkmalen verglichen.Die Überprüfung der Praxistauglichkeit der Qualitätsmerkmale erfolgte am Fallbeispiel der Metadaten des Schweizerischen Sozialarchivs.Auf Basis der erarbeitenden Resultate spricht die Arbeit eine Reihe von Empfehlungen aus.这些建议适用于与关联开放数据主题相关的档案,或计划在此领域进行应用的档案。}, language = {en}, number = {1}, urldate = {2021-03-17}, journal = {Speculum}, author = {Würtz, Fabian}, month = jul, year = {2020}, note = {🏷️ /unread}, keywords = {/unread}, pages = {312--423}, }
@incollection{vogeler2020, address = {Norderstedt}, title = {Das {Semantic} {Web} als {Giant} {Global} {Kontext}?}, volume = {14}, shorttitle = {Das {Semantic} {Web} als {Giant} {Global} {Kontext}?}, url = {http://www.uni-koeln.de/}, abstract = {Unter dem Gesichtspunkt der „Rekontextualisierung“ erweist sich das Semantic Web als eine eigenartige textuelle Ausdrucksform, die als Prototyp einer digitalen Rekontextualisierung verstanden werden könnte: Es besteht konstitutiv aus Aussagen (Basisprinzip Triples), die über das Internet miteinander verknüpfbar sind (Basisprinzip IRI). Im Unterschied zum Hypertext sind die Aussagen aber hochgradig fragmentiert und formalisiert. Sie sind damit „digitaler“ als Hypertext, da sie weit stärker als dieser diskret konfiguriert sind. Zusätzlich sind sie einigen formallogischen Methoden zugänglich, welche die für einen Text notwendige Kohärenz erzeugen. Aus textlinguistischer Sicht könnte man also das Semantic Web nicht nur als „Giant Global Graph“ sondern auch als „Giant Global Text“ zu beschreiben versuchen. Damit wird der Begriff der Rekontextualisierung für die Verwendung des Semantic Web in den DH produktiv, weil er darauf hinweist, dass das Semantic Web nicht ohne menschliche Intervention Text produziert. Daraus ergibt sich aber auch eine »Unsichtbarkeit« des Semantic Web. Die Rekontextualisierung mit Methoden des Semantic Web kann deshalb auch darin bestehen, den „Giant Global Text“ mit jeweils neuen Paratexten zu versehen und so neue Rezeptionsformen zu ermöglichen. 【摘要翻译】根据 "关联上下文 "的主题,语义网(Semantic Web)是一种独特的文本形式,它是数字关联上下文的原型:它的基础是通过互联网相互传递的信息(三元基础)(IRI 基础)。但与超文本不同的是,它们是高度碎片化和形式化的。因此,它们比超文本更 "数字化",因为它们比磁盘上的文字更复杂。此外,超文本还有一些形式逻辑方法,这些方法对文本具有重要意义。从文本语言学的角度看,语义网不仅是 "巨型全局图",也是 "巨型全局文本"。因此,在卫生领域使用语义网的 "语境化"(Rekontextualisierung)这一概念就变得非常重要,因为它表明,语义网不是由人类干预文本生成的。此外,语义网还具有 "不确定性"(Unsichtbarkeit)。使用语义网的方法进行重新文本化也是如此,"巨型全局文本"(Giant Global Text)可以使用新的副文本,从而实现新的重读(Rezeptionsformen)。}, language = {en}, urldate = {2021-12-30}, publisher = {BoD}, author = {Vogeler, Georg}, editor = {Meier-Vieracker, Simon and Viehhauser, Gabriel and Sahle, Patrick}, year = {2020}, note = {🏷️ /unread}, keywords = {/unread}, pages = {55--70}, }
@article{tolle2020, title = {Improving {Data} {Quality} by {Rules}: {A} {Numismatic} {Example}}, copyright = {http://creativecommons.org/licenses/by-nc-nd/3.0/de/deed.de}, shorttitle = {通过规则提高数据质量:钱币学实例}, url = {https://publikationen.uni-tuebingen.de/xmlui/handle/10900/101838}, doi = {10.15496/publikation-43217}, abstract = {The archaeological data dealt with in our database solution Antike Fundmünzen in Europa (AFE), which records finds of ancient coins, is entered by humans. Based on the Linked Open Data (LOD) approach, we link our data to Nomisma.org concepts, as well as to other resources like Online Coins of the Roman Empire (OCRE). Since information such as denomination, material, etc. is recorded for each single coin, this information should be identical for coins of the same type. Unfortunately, this is not always the case, mostly due to human errors. Based on rules that we implemented, we were able to make use of this redundant information in order to detect possible errors within AFE, and were even able to correct errors in Nomimsa.org. However, the approach had the weakness that it was necessary to transform the data into an internal data model. In a second step, we therefore developed our rules within the Linked Open Data world. The rules can now be applied to datasets following the Nomisma. org modelling approach, as we demonstrated with data held by Corpus Nummorum Thracorum (CNT). We believe that the use of methods like this to increase the data quality of individual databases, as well as across different data sources and up to the higher levels of OCRE and Nomisma.org, is mandatory in order to increase trust in them. 【摘要翻译】我们的数据库解决方案 Antike Fundmünzen in Europa (AFE) 中处理的考古数据 in Europa (AFE) 中的考古数据是由人类输入的。 人输入的。基于关联开放数据(LOD)方法,我们将数据与 Nomisma. 链接到 Nomisma.org 概念,以及其他资源,如 Online Coins of 罗马帝国在线钱币(OCRE)等其他资源。由于每枚钱币都记录了面额、材质等信息,因此我们的数据是开放的、 等信息都记录在每一枚钱币上,因此这些信息对于同一类型的钱币来说应该是相同的。 相同类型的钱币。遗憾的是,情况并非总是如此,这主要是由于 人为错误。根据我们实施的规则,我们能够利用这些冗余信息 冗余信息,以检测 AFE 中可能存在的错误,甚至能够纠正 Normo 中的错误。 甚至能够纠正 Nomimsa.org 中的错误。不过,这种方法有 不过,这种方法也有不足之处,那就是必须将数据转换为内部数据模型。 模型。因此,在第二步中,我们在关联的 开放数据世界中开发了我们的规则。现在,这些规则可以应用于采用Nomisma.org建模方法的数据集。 org建模方法的数据集。 Nummorum Thracorum(CNT)所拥有的数据进行了演示。我们相信,使用这样的方法可以 我们相信,使用这样的方法可以提高单个数据库的数据质量,以及不同数据源之间 和 Nomisma.org 的更高层次的数据质量。 我们相信,使用这样的方法来提高单个数据库的数据质量,以及不同数据源和更高层次的 OCRE 和 Nomisma.org 的数据质量,是提高它们的信任度所必须的。}, language = {en}, urldate = {2021-06-01}, author = {Tolle, Karsten and Wigg-Wolf, David}, month = nov, year = {2020}, note = {🏷️ /unread}, keywords = {/unread}, }
@misc{wildi2019, type = {Government \& {Nonprofit}}, title = {Le {Matterhorn} {RDF} {Data} {Model}: {Description} archivistique et {Linked} {Open} {Data}. {Vers} quelle convergence?}, shorttitle = {马特宏峰 {RDF} 数据模型:档案描述与关联开放数据。{Vers} quelle convergence?}, url = {https://www.slideshare.net/TobiasWildi/alain-dubois-tobias-wildi-le-matterhorn-rdf-data-model-description-archivistique-et-linked-open-data-vers-quelle-convergence-prsentation-au-forum-des-archivistes-5-avril-2019-saintetienne?from_m_app=ios}, abstract = {Approche généraliste du Matterhorn RDF Data Model: se fonder sur des 【摘要翻译】Matterhorn RDF 数据模型的通用方法:从 发现}, language = {en}, urldate = {2020-12-28}, author = {Wildi, Tobias and Dubois, Alain}, month = may, year = {2019}, note = {🏷️ /unread}, keywords = {/unread}, }
@inproceedings{hyvonen2019, title = {A {Linked} {Open} {Data} {Service} and {Portal} for {Pre}-modern {Manuscript} {Research}}, shorttitle = {用于前现代手稿研究的关联开放数据服务和门户网站}, url = {https://researchportal.helsinki.fi/en/publications/a-linked-open-data-service-and-portal-for-pre-modern-manuscript-r}, language = {en}, urldate = {2019-09-05}, booktitle = {Digital {Humanities} in {Nordic} {Countries}: {Proceedings} of the {Digital} {Humanities} in the {Nordic} {Countries} 4th {Conference}}, publisher = {CEUR-WS.org}, author = {Hyvönen, Eero and Ikkala, Esko and Tuominen, Jouni and Koho, Mikko and Burrows, Toby and Ransom, Lynn and Wijsman, Hanno}, year = {2019}, note = {🏷️ /unread}, keywords = {/unread}, pages = {220--229}, }
@article{merzaghi2017, title = {Informationen finden und {Wissen} verlinken: {Der} {Weg} der {Metadatenstandards} vom {Archivregal} zu den {Linked} {Data}}, copyright = {Copyright ©2020 arbido.}, shorttitle = {找到信息,链接知识:从档案馆到关联数据的元数据标准之路}, url = {https://arbido.ch/de/ausgaben-artikel/2017/metadaten-datenqualit%C3%A4t/vom-regal-zum-word-wide-web-die-entwicklung-von-normen-und-standards}, abstract = {Die Informatisierung der Archivarbeit hat die Notwendigkeit von Metadatenstandards aufgezeigt, denn die Metadaten ermöglichen es, analoge und elektronische… 【摘要翻译】档案的信息化需要元数据标准的支持,因为元数据可以使模拟和电子档案的管理变得更加容易...}, language = {en}, number = {3}, urldate = {2020-12-28}, journal = {Arbido}, author = {Merzaghi, Michele}, year = {2017}, note = {🏷️ /unread}, keywords = {/unread}, }
@incollection{bruseker2017, address = {Cham}, series = {Quantitative {Methods} in the {Humanities} and {Social} {Sciences}}, title = {Cultural {Heritage} {Data} {Management}: {The} {Role} of {Formal} {Ontology} and {CIDOC} {CRM}}, isbn = {978-3-319-65370-9}, shorttitle = {文化遗产数据管理:正式本体论和 {CIDOC} {CRM} 的作用}, url = {https://doi.org/10.1007/978-3-319-65370-9_6}, abstract = {Building models for integrating the diverse data generated in Cultural Heritage disciplines is a long-term challenge both for securing presently generated knowledge and for making it progressively more widely accessible and interoperable into the future. This chapter reviews the multiple approaches undertaken to address this problem, finally proposing CIDOC CRM as the most robust solution for information integration in CH. The chapter begins by outlining the data challenge specific to the field and the main approaches that can be taken in facing it. Within this frame, it distinguishes knowledge engineering and formal ontology from other information modelling techniques as the necessary approach for tackling the broader data integration problem. It then outlines the basic principles of CIDOC CRM, the ISO standard formal ontology for CH. From there, an overview is given of some of the work that has been done both theoretically and in practice over the past five years in developing and implementing CRM as a practical data integration strategy in CH, particularly looking at model extensions to handle knowledge provenance across various disciplines and typical documentation and reasoning activities, as well as at successful implementation projects. Lastly, it summarizes the present potentials and challenges for using CIDOC CRM for solving the CH data management and integration puzzle. The intended audience of this chapter are specialists from all backgrounds within the broader domain of CH with an interest in data integration and CIDOC CRM. 【摘要翻译】建立整合文化遗产学科所产生的各种数据的模型是一项长期的挑战,既要确保目前所 产生的知识,又要使这些知识在未来能够被更广泛地获取并具有互操作性。本章回顾了为解决这一问题而采取的多种方法,最后提出了 CIDOC CRM,作为文化遗产信息整合的最有力的解决方案。本章首先概述了该领域特有的数据挑战以及应对挑战的主要方法。在此框架内,本章将知识工程和正式本体与其他信息建模技术区分开来,将其作为解决更广泛的数据整合问题的必要方法。然后,它概述了 CIDOC CRM 的基本原则,CIDOC CRM 是用于 CH 的 ISO 标准正式本体。然后,概述了过去五年中在开发和实施 CRM 作为 CH 实用数据集成战略方面所做的一些理论和实践工作,特别是处理跨学科知识出处的模型扩展、典型文档和推理活动,以及成功的实施项目。最后,本章总结了使用 CIDOC CRM 解决 CH 数据管理和集成难题的当前潜力和挑战。本章的目标读者是对数据集成和 CIDOC CRM 感兴趣的、来自更广泛的 CH 领域的各种背景的专家。}, language = {en}, urldate = {2023-08-18}, booktitle = {Heritage and {Archaeology} in the {Digital} {Age}: {Acquisition}, {Curation}, and {Dissemination} of {Spatial} {Cultural} {Heritage} {Data}}, publisher = {Springer International Publishing}, author = {Bruseker, George and Carboni, Nicola and Guillem, Anaïs}, editor = {Vincent, Matthew L. and López-Menchero Bendicho, Víctor Manuel and Ioannides, Marinos and Levy, Thomas E.}, year = {2017}, note = {🏷️ /unread}, keywords = {/unread}, pages = {93--131}, }
@incollection{vogeler2016, title = {The {Content} of {Accounts} and {Registers} in their {Digital} {Edition}. {XML}/{TEI}, {Spreadsheets}, and {Semantic} {Web} {Technologies}}, shorttitle = {数字版账目和登记簿的内容。{XML}/{TEI}、电子表格和语义网技术}, language = {en}, booktitle = {Konzeptionelle Überlegungen zur {Edition} von {Rechnungen} und {Amtsbüchern} des späten {Mittelalters}}, author = {Vogeler, Georg}, year = {2016}, note = {🏷️ /unread}, keywords = {/unread}, pages = {13--42}, }
@inproceedings{leboeuf2015, address = {Cape Town, South Africa}, title = {A {Basic} {Introduction} to {FRBROO} and {PRESSOO}}, shorttitle = {{FRBROO} 和 {PRESSOO} 的基本介绍}, url = {https://library.ifla.org/id/eprint/1150/}, abstract = {In addition to FRBR, FRAD, and FRSAD, two conceptual models for bibliographic information were developed these last years: FRBROO (a reformulation of the FRBR/FRAD/FRSAD models) and PRESSOO (more specifically devoted to bibliographic information about continuing resources). This paper provides the explanation that is necessary for a good understanding of the formalism used in these two models. It then shows how some of the basic constructs of FRBR/FRAD/FRSAD are rendered in the FRBROO model. In a very brief third section, it highlights some core aspects of PRESSOO. Keywords: FRBROO, PRESSOO, CIDOC CRM, Conceptual models for cultural heritage information 【摘要翻译】除了 FRBR、FRAD 和 FRSAD 之外,最近几年还开发了两个书目信息概念模型。 除了 FRBR、FRAD 和 FRAD 之外,最近几年还开发了两个书目信息概念模型:FRBROO(FRBR/FRAD/FRSAD 模型的改写)和 PRESSOO(更专门针对连续性资源的书目信息)。本文 本文将提供必要的解释,以便读者很好地理解这两种模式所使用的形式主义。 这两种模式所使用的形式主义。然后,它展示了 FRBR/FRAD/FRSAD 的一些基本构造是如何在 FRBROO 模式中呈现的。 在 FRBROO 模型中的体现。在非常简短的第三部分中,它强调了 PRESSOO。 关键词FRBROO、PRESSOO、CIDOC CRM、文化遗产信息概念模型}, language = {en}, booktitle = {{IFLA} {WLIC} 201, {Session} 207 - {Cataloguing}}, author = {Le Boeuf, Patrick}, year = {2015}, note = {🏷️ /unread、CIDOC CRM、Conceptual models for cultural heritage information、FRBRoo、PRESSoo}, keywords = {/unread, CIDOC CRM, Conceptual models for cultural heritage information, FRBRoo, PRESSoo}, }
@article{cazzanelli2015, title = {Archival description and linked data: a preliminary study of opportunities and implementation challenges}, volume = {15}, issn = {1389-0166}, shorttitle = {档案描述和关联数据:机遇与实施挑战的初步研究}, url = {http://link.springer.com/10.1007/s10502-014-9216-2}, doi = {10.1007/s10502-014-9216-2}, abstract = {This paper presents the results of a study to investigate how archives can connect their collections to related data sources through the use of Semantic Web technologies, specifically Linked Data. Questions explored included (a) What types of data currently available in archival surrogates such as Encoded Archival Description (EAD) finding aids and Machine-Readable Cataloging (MARC) records may be useful if converted to Linked Data? (b) For those potentially useful data points identified in archival surrogates, how might one align data structures found in those surrogates to the data structures of other relevant internal or external information sources? (c) What features of current standards and data structures present impediments or challenges that must be overcome in order to achieve interoperability among disparate data sources? To answer these questions, the researcher identified metadata elements of potential use as Linked Data in archival surrogates, as well as metadata element sets and vocabularies of data sets that could serve as pathways to relevant external data sources. Data sets chosen for the study included DBpedia and schema.org; metadata element sets examined included Friend of a Friend (FOAF), GeoNames, and Linking Open Description of Events (LODE). The researcher then aligned tags found in the EAD encoding standard to related classes and properties found in these Linked Data sources and metadata element sets. To investigate the third question about impediments to incorporating Linked Data in archival descriptions, the researcher analyzed the locations and frequencies at which controlled and uncontrolled access points (personal and family name, corporate name, geographic name, and genre/form entities) appeared in a sample of MARC and EAD archival descriptive records by using a combination of hand counts and the natural language processing (NLP) tool, OpenCalais. The results of the location and frequency analysis, combined with the results of the alignment process, helped the researcher identify several critical challenges currently impeding interoperability among archival information systems and relevant Linked Data sources, including differences in granularity between archival and other data source vocabularies, and inadequacies of current encoding standards to support semantic tagging of potential access points embedded in free text areas of archival surrogates. 【摘要翻译】本文介绍了一项研究的结果,该研究旨在探讨档案馆如何通过使用语义网技术,特别是关联数据,将其馆藏与相关数据源连接起来。探讨的问题包括:(a)如果将编码档案描述(EAD)查找辅助工具和机器可读编目(MARC)记录转换为关联数据,那么目前在档案代理中可用的哪些类型的数据可能是有用的?(b) 对于那些在档案代用物中发现的潜在有用数据点,如何将这些代用物中发现的数据结 构与其他相关的内部或外部信息源的数据结构相协调?(c) 为了实现不同数据源之间的互操作性,当前标准和数据结构的哪些特点构成了必 须克服的障碍或挑战?为了回答这些问题,研究者确定了在档案代理中可能作为关联数据使用的元数据元素,以及可以 作为通向相关外部数据源的数据集的元数据元素集和词汇表。研究选择的数据集包括DBpedia和schema.org;研究的元数据元素集包括朋友的朋友(FOAF)、地理名称(GeoNames)和事件的链接开放描述(LODE)。然后,研究者将EAD编码标准中的标签与这些关联数据源和元数据元素集中的相关类和属性进行了对齐。为了研究第三个问题,即在档案描述中整合关联数据的障碍,研究者使用手工计数和自然语言处 理(NLP)工具OpenCalais,分析了受控和非受控访问点(个人和家庭姓名、公司名称、地理名 称和类型/形式实体)出现在MARC和EAD档案描述记录样本中的位置和频率。位置和频率分析的结果,结合对齐过程的结果,帮助研究者发现了目前阻碍档案信息系统和相关关联数据源之间互操作性的几个关键挑战,包括档案和其他数据源词汇表之间的粒度差异,以及当前编码标准不足以支持嵌入档案代用物自由文本区域的潜在访问点的语义标记。}, language = {en}, number = {3}, urldate = {2020-12-16}, journal = {Archival Science}, author = {Cazzanelli, Matteo and Castillo, María Mercedes and Soria-Barreto, Miriam and Ochoa-Gaona, Susana and Sepúlveda-Lozada, Alejandra and Patiño-Espinosa, Sandra Gisele and Jiménez-Pérez, Nelly C. and Rodiles-Hernández, Rocío and Gracy, Karen F.}, month = sep, year = {2015}, note = {🏷️ /unread}, keywords = {/unread}, pages = {239--294}, }