1,017 research outputs found

    “Standing-off Trees and Graphs”: On the Affordance of Technologies for the Assertive Edition

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    Starting from the observation that the existing models of digital scholarly editions can be expressed in many technologies, this paper goes beyond the simple opposition of ‘XML’ and ‘graph’, It studies the implicit context of the technologies as applied to digital scholarly editions: embedded mark-up in XML/TEI trees, graph representa- tions in RDF, and stand-off annotation as realised in annotation tools widely used for information extraction. It describes the affordances of the encoding methods offered. It takes as a test case the “assertive edition” (Vogeler 2019), in which the text is considered in a double role: as palaeographical and linguistic phenomenon, and as a representation of information. It comes to the conclusion that the affordances of XML help to detect sequential and hierarchical properties of a text, while those of RDF best cover the representation of knowledge as semantic networks of statements. The relationship between them can be expressed by the metaphor of ‘layers’, for which stand-off annotation technologies seem to be best fitted. However, there is no standardised technical formalism to create stand-off annotations beyond graphical tools sharing interface elements. The contribution concludes with the call for the acceptance of the advantages of each technology, and for efforts to be made to discuss the best way to combine these technologies

    AGROVOC: The linked data concept hub for food and agriculture

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    Newly acquired, aggregated and shared data are essential for innovation in food and agriculture to improve the discoverability of research. Since the early 1980â€Čs, the Food and Agriculture Organization of the United Nations (FAO) has coordinated AGROVOC, a valuable tool for data to be classified homogeneously, facilitating interoperability and reuse. AGROVOC is a multilingual and controlled vocabulary designed to cover concepts and terminology under FAO's areas of interest. It is the largest Linked Open Data set about agriculture available for public use and its highest impact is through facilitating the access and visibility of data across domains and languages. This chapter has the aim of describing the current status of one of the most popular thesaurus in all FAO’s areas of interest, and how it has become the Linked Data Concept Hub for food and agriculture, through new procedures put in plac

    Reasoning with Annotations of Texts

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    International audienceLinguistic and semantic annotations are important features for text-based applications. However, achieving and maintaining a good quality of a set of annotations is known to be a complex task. Many ad hoc approaches have been developed to produce various types of annotations, while comparing those annotations to improve their quality is still rare. In this paper, we propose a framework in which both linguistic and domain information can cooperate to reason with annotations. The underlying knowledge representation issues are carefully analyzed and solved by studying a higher order logic, which accounts for the cooperation of different sorts of knowledge. An algorithm, implemented in our prototype, is proposed to reduce this logic to classical description logics by preserving the semantics, which allows us to benefit from cutting-edge Semantic Web reasoners. An application scenario shows interesting merits of this framework on reasoning with annotations of texts

    Speech-based metadata generation for web map search

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    Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesMetadata is indispensable for data discoverability and interoperability. Most datasets utilize automatic techniques to create metadata; nevertheless, metadata creation still requires manual interventions and editions, yet manually metadata creation is a tedious task. The study proposes a prototype that introduces speech recognition in the metadata creation process. Users can generate content by speaking. Afterward, the prototype transforms it into metadata with JSON-LD format, a popular metadata format and utilized by mainstream search engines. A user study was conducted to understand the impact of speech-based interaction on user performance and user satisfaction. The result showed no signi cant performance di erence between speech-based and typebased by the e ciency, slip rate, and di culty rating evaluation. In the user experience evaluation, participants consider the type-based metadata creation is pragmatic, and speech-based metadata creation is hedonic. It suggests that the mix-mode can complement mutually with the advantages of each and optimize the user experience

    Scholarly Music Editions as Graph: Semantic Modelling of the Anton Webern Gesamtausgabe

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    This paper presents a first draft of the ongoing research at the Anton Webern Gesamt- ausgabe (Basel, CH) to apply RDF-based semantic models for the purpose of a scholarly digital music edition. A brief overview of different historical positions to approach music from a graph-theoretical perspective is followed by a list of music- related and other RDF vocabularies that may support this goal, such as MusicOWL, DoReMus, CIDOC CRMinf, or the NIE-INE ontologies. Using the example of some of Webern’s sketches for two drafted Goethe settings (M306 & M307), a preliminary graph-based model for philological knowledge and processes is envisioned, which incorporates existing ontologies from the context of cultural heritage and music. Finally, possible use-cases, and the consequences of such an approach to scholarly music editions, are discussed

    Towards VocBench 3: Pushing collaborative development of thesauri and ontologies further beyond

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    More than three years have passed since the release of the second edition of VocBench, an open source collaborative web platform for the development of thesauri complying with Semantic Web standards. In these years, a vibrant user community has gathered around the system, consisting of public organizations, companies and independent users looking for open source solutions for maintaining their thesauri, code lists and authority resources. The focus on collaboration, the differentiation of user roles and the workflow management for content validation and publication have been the strengths of the platform, especially for those organizations requiring a centralized and controlled publication environment. Now the time has come to widen the scope of the platform: funded by the ISA2programme of the European Commission, VocBench 3 will offer a general-purpose collaborative environment for development of any kind of RDF dataset, improving the editing capabilities of its predecessor, while still maintaining the peculiar aspects that determined its success. In this paper, we review the requirements and the new objectives set for version 3, and then introduce the new characteristics that were implemented for this next iteration of the platform

    Scholarly Music Editions as Graph: Semantic Modelling of the Anton Webern Gesamtausgabe

    Get PDF
    This paper presents a first draft of the ongoing research at the Anton Webern Gesamtausgabe (Basel, CH) to apply RDF-based semantic models for the purpose of a scholarly digital music edition. A brief overview of different historical positions to approach music from a graph-theoretical perspective is followed by a list of music-related and other RDF vocabularies that may support this goal, such as MusicOWL, DoReMus, CIDOC CRMinf, or the NIE-INE ontologies. Using the example of some of Webern's sketches for two drafted Goethe settings (M306 & M307), a preliminary graph-based model for philological knowledge and processes is envisioned, which incorporates existing ontologies from the context of cultural heritage and music. Finally, possible use-cases, and the consequences of such an approach to scholarly music editions, are discussed
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