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Citations and annotations in classics: old problems and new perspectives

Published: 10 September 2013 Publication History
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  • Abstract

    Annotations played a major role in Classics since the very beginning of the discipline. Some of the first attested examples of philological work, the so-called scholia, were in fact marginalia, namely comments written at the margins of a text. Over the centuries this kind of scholarship evolved until it became a genre on its own, the classical commentary, thus moving away from the text with the result that philologists had to devise a solution to linking together the commented and the commenting text. The solution to this problem is the system of canonical citations, a special kind of bibliographic references that are at the same time very precise and highly interoperable.
    In this paper we present HuCit, an ontology that models in depth the semantics of canonical citations. We discuss how it can be used to a) support the automatic extraction of canonical citations from texts and b) to publish them in machine-readable format on the Semantic Web. Finally, we describe how HuCit's machine-generated citation data can also be expressed as annotations by using the Open Annotation Collaboration (OAC) ontology, to the aim of increasing reuse and semantic interoperability.

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    Gregory Crane, Brent Seales, and Melissa Terras. Cyberinfrastructure for Classical Philology. Digital Humanities Quarterly, 3(1), 2009.
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    Don Fowler. Criticism as commentary and commentary as criticism in the age of electronic media. In Glenn W Most and Don Fowler, editors, Commentaries = Kommentare, number 4 in Aporemata: Kritische Studien zur Philologiegeschichte. Vandenhoeck & Ruprecht, Gööttingen, 1999.
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    Tom Heath and Christian Bizer. Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web. Morgan {&} Claypool Publishers, 2011.
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    Michele Pasin and Riichiro Mizoguchi. Moving EMLoT towards the web of data: an approach to the representation of humanities citations based on role theory and formal ontology (forthcoming), 2013.
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    L D Reynolds and N G Wilson. Scribes and Scholars: A Guide to the Transmission of Greek and Latin Literature. Oxford University Press, USA, 3 edition, 1991.
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    Matteo Romanello. Creating an Annotated Corpus for Extracting Canonical Citations from Classics-Related Texts by Using Active Annotation. In Alexander Gelbukh, editor, Computational Linguistics and Intelligent Text Processing. 14th International Conference, CICLing 2013, Samos, Greece, March 24--30, 2013, Proceedings, Part I, volume 1 of Lecture Notes in Computer Science / Theoretical Computer Science and General Issues, pages 60--76. Springer Berlin Heidelberg, 2013.
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    Matteo Romanello, Monica Berti, Federico Boschetti, Alison Babeu, and Gregory Crane. Rethinking Critical Editions of Fragmentary Texts By Ontologies. pages 155--174, Milano, Italy, 2009.
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    Matteo Romanello, Federico Boschetti, and Gregory Crane. Citations in the digital library of classics: extracting canonical references by using conditional random fields. In Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries, NLPIR4DL '09, pages 80--87, Morristown, NJ, USA, 2009. Association for Computational Linguistics.
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    David Shotton. CiTO, the Citation Typing Ontology. Journal of biomedical semantics, 1(Suppl 1): S6, 2010.
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    Rainer Simon, Elton Barker, and Leif Isaksen. Exploring Pelagios: a visual browser for geo-tagged datasets. In International Workshop on Supporting Users' Exploration of Digital Libraries, 2012.
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    Neel Smith. Digital Infrastructure and the Homer Multitext Project. In Gabriel Bodard and Simon Mahony, editors, Digital Research in the Study of Classical Antiquity, pages 121--137. Ashgate Publishing, Burlington, VT, 2010.

    Cited By

    View all
    • (2023)Bibliographic Reference Classification in Historiographic Documents using Supervised Machine Learning and Grammatical FeaturesProceedings of the 2023 7th International Conference on Information System and Data Mining10.1145/3603765.3603778(96-102)Online publication date: 10-May-2023
    • (2016)The Document Components Ontology (DoCO)Semantic Web10.3233/SW-1501777:2(167-181)Online publication date: 12-Feb-2016
    • (2014)On expanded citationsProceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business10.1145/2637748.2638444(1-4)Online publication date: 16-Sep-2014

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    1. Citations and annotations in classics: old problems and new perspectives

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        Prateek Jain

        Citations play an important role in pointing a reader to a relevant text for further analysis and investigation. The ontological modeling presented in this work is an interesting contribution to (1) modeling the citations and (2) identifying the text being talked about using canonical citations. A canonical citation is a special kind of bibliographic citation used to refer to sections of classical literature. It is highly precise and concise, and expected to be interoperable to support different editions of the text. Canonical citations can be seamlessly modeled using ontologies, as they support and alleviate heterogeneity due to different editions and translations of the text. There are a number of good features about the work. In particular, the authors present a fair amount of domain analysis, which will allow readers to understand the requirements of this domain. This is complemented with a good overview of the state of the art in the use of ontologies for representing citations. Furthermore, the work identifies what is hindering interoperability and the drawbacks of the existing approaches. The authors present their own solution for the domain that alleviates some of the challenges and reuses ontological concepts from other solutions. While there are number of positives, the work does fall short of giving technical details related to the tools and language used for modeling. It also does not go into a lot of details about how the authors propose using this work in a real-life setting. This paper will be a good read for those who are interested in modeling domains related to cultural studies, literature, and ontology design. It can also serve as a good reference on how to present ideas in a paper related to the modeling of a domain. Online Computing Reviews Service

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        Published In

        cover image ACM Other conferences
        DH-CASE '13: Proceedings of the 1st International Workshop on Collaborative Annotations in Shared Environment: metadata, vocabularies and techniques in the Digital Humanities
        September 2013
        113 pages
        ISBN:9781450321990
        DOI:10.1145/2517978
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        • AIUCD: Associazione per l Informatica Umanistica e la Cultura Digitale

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 10 September 2013

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        Author Tags

        1. HuCit
        2. citations
        3. classics
        4. ontological modeling
        5. primary sources

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        DH-case '13
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        • AIUCD

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        DH-CASE '13 Paper Acceptance Rate 18 of 30 submissions, 60%;
        Overall Acceptance Rate 18 of 30 submissions, 60%

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        View all
        • (2023)Bibliographic Reference Classification in Historiographic Documents using Supervised Machine Learning and Grammatical FeaturesProceedings of the 2023 7th International Conference on Information System and Data Mining10.1145/3603765.3603778(96-102)Online publication date: 10-May-2023
        • (2016)The Document Components Ontology (DoCO)Semantic Web10.3233/SW-1501777:2(167-181)Online publication date: 12-Feb-2016
        • (2014)On expanded citationsProceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business10.1145/2637748.2638444(1-4)Online publication date: 16-Sep-2014

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