-
Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021)
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- Abstract
- In der Session "Knowledge Representation" auf der ISI 2021 wurden unter der Moderation von Jürgen Reischer (Uni Regensburg) drei Projekte vorgestellt, in denen Knowledge Representation mit RDF umgesetzt wird. Die Domänen sind erfreulich unterschiedlich, die gemeinsame Klammer indes ist die Absicht, den Zugang zu Forschungsdaten zu verbessern: - Japanese Visual Media Graph - Taxonomy of Digital Research Activities in the Humanities - Forschungsdaten im konzeptuellen Modell von FRBR
- Date
- 22. 5.2021 12:43:05
-
Pepper, S.; Arnaud, P.J.L.: Absolutely PHAB : toward a general model of associative relations (2020)
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- Abstract
- There have been many attempts at classifying the semantic modification relations (R) of N + N compounds but this work has not led to the acceptance of a definitive scheme, so that devising a reusable classification is a worthwhile aim. The scope of this undertaking is extended to other binominal lexemes, i.e. units that contain two thing-morphemes without explicitly stating R, like prepositional units, N + relational adjective units, etc. The 25-relation taxonomy of Bourque (2014) was tested against over 15,000 binominal lexemes from 106 languages and extended to a 29-relation scheme ("Bourque2") through the introduction of two new reversible relations. Bourque2 is then mapped onto Hatcher's (1960) four-relation scheme (extended by the addition of a fifth relation, similarity , as "Hatcher2"). This results in a two-tier system usable at different degrees of granularities. On account of its semantic proximity to compounding, metonymy is then taken into account, following Janda's (2011) suggestion that it plays a role in word formation; Peirsman and Geeraerts' (2006) inventory of 23 metonymic patterns is mapped onto Bourque2, confirming the identity of metonymic and binominal modification relations. Finally, Blank's (2003) and Koch's (2001) work on lexical semantics justifies the addition to the scheme of a third, superordinate level which comprises the three Aristotelean principles of similarity, contiguity and contrast.
- Source
- ¬The Mental Lexicon. 15(2020) no.1, S.101-122
-
Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021)
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- Date
- 22. 1.2021 14:24:32
- Source
- Journal of documentation. 77(2021) no.1, S.93-105
-
Auer, S.; Sens, I.; Stocker, M.: Erschließung wissenschaftlicher Literatur mit dem Open Research Knowledge Graph (2020)
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- Abstract
- Die Weitergabe von Wissen hat sich seit vielen hundert Jahren nicht grundlegend verändert: Sie erfolgt in der Regel dokumentenbasiert - früher als klassischer Aufsatz auf Papier gedruckt, heute als PDF. Bei jährlich rund 2,5 Millionen neuen Forschungsbeiträgen ertrinken die Forschenden in einer Flut pseudodigitalisierter PDF-Publikationen. Die Folge: Die Forschung wird ernsthaft geschwächt. Denn viele Forschungsergebnisse können durch andere nicht reproduziert werden, es gibt mehr und mehr Redundanzen und das Meer von Publikationen ist unübersichtlich. Deshalb denkt die TIB - Leibniz-Informationszentrum Technik und Naturwissenschaften Wissenskommunikation neu: Statt auf statische PDF-Artikel setzt die TIB auf Wissensgraphen. Sie arbeitet daran, Wissen unterschiedlichster Form - Texte, Bilder, Grafiken, Audio- und Video-Dateien, 3D-Modelle und vieles mehr - intuitiv mithilfe dynamischer Wissensgraphen zu vernetzen. Der Wissensgraph soll verschiedene Forschungsideen, -ansätze, -methoden und -ergebnisse maschinenlesbar darstellen, sodass völlig neue Zusammenhänge von Wissen zutage treten und zur Lösung globaler Probleme beitragen könnten. Die großen gesellschaftlichen Herausforderungen verlangen Interdisziplinarität und das Zusammenfügen von Erkenntnis-Einzelteilen. Mit dem Wissensgraphen kann das gelingen und der Fluss wissenschaftlicher Erkenntnisse revolutioniert werden.
-
Fagundes, P.B.; Freund, G.P.; Vital, L.P.; Monteiro de Barros, C.; Macedo, D.D.J.de: Taxonomias, ontologias e tesauros : possibilidades de contribuição para o processo de Engenharia de Requisitos (2020)
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- Source
- Em Questão, Porto Alegre. 26(2020) no.1, S.237-254
- Theme
- Konzeption und Anwendung des Prinzips Thesaurus
-
Kleineberg, M.: Classifying perspectives : expressing levels of knowing in the Integrative Levels Classification (2020)
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- Source
- Knowledge Organization at the Interface. Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark. Ed.: M. Lykke et al
-
Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020)
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- Source
- Knowledge Organization at the Interface. Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark. Ed.: M. Lykke et al
-
Gladun, A.; Rogushina, J.: Development of domain thesaurus as a set of ontology concepts with use of semantic similarity and elements of combinatorial optimization (2021)
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- Theme
- Konzeption und Anwendung des Prinzips Thesaurus
-
Simoes, G.; Machado, L.; Gnoli, C.; Souza, R.: Can an ontologically-oriented KO do without concepts? (2020)
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- Source
- Knowledge Organization at the Interface. Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark. Ed.: M. Lykke et al
-
Peponakis, M.; Mastora, A.; Kapidakis, S.; Doerr, M.: Expressiveness and machine processability of Knowledge Organization Systems (KOS) : an analysis of concepts and relations (2020)
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- Source
- International journal on digital libraries. 20(2020) no.4, S.433-452
-
MacFarlane, A.; Missaoui, S.; Frankowska-Takhari, S.: On machine learning and knowledge organization in multimedia information retrieval (2020)
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- Abstract
- Recent technological developments have increased the use of machine learning to solve many problems, including many in information retrieval. Multimedia information retrieval as a problem represents a significant challenge to machine learning as a technological solution, but some problems can still be addressed by using appropriate AI techniques. We review the technological developments and provide a perspective on the use of machine learning in conjunction with knowledge organization to address multimedia IR needs. The semantic gap in multimedia IR remains a significant problem in the field, and solutions to them are many years off. However, new technological developments allow the use of knowledge organization and machine learning in multimedia search systems and services. Specifically, we argue that, the improvement of detection of some classes of lowlevel features in images music and video can be used in conjunction with knowledge organization to tag or label multimedia content for better retrieval performance. We provide an overview of the use of knowledge organization schemes in machine learning and make recommendations to information professionals on the use of this technology with knowledge organization techniques to solve multimedia IR problems. We introduce a five-step process model that extracts features from multimedia objects (Step 1) from both knowledge organization (Step 1a) and machine learning (Step 1b), merging them together (Step 2) to create an index of those multimedia objects (Step 3). We also overview further steps in creating an application to utilize the multimedia objects (Step 4) and maintaining and updating the database of features on those objects (Step 5).
- Content
- DOI:10.5771/0943-7444-2020-1-45.
- Source
- Knowledge organization. 47(2020) no.1, S.45-55
-
Almeida, M.B.: Ontologia em Ciência da Informação: Teoria e Método (1ª ed., Vol. 1). CRV. http://dx.doi.org/10.24824/978655578679.8; Tecnologia e Aplicações (1ª ed., Vol. 2). CRV. http://dx.doi.org/10.24824/978652511477.4; Curso completo com teoria e exercícios (1ª ed., volume suplementar para professores). CRV. [Review] (2022)
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- Source
- Boletim do Arquivo da Universidade de Coimbra 35(2022) no.1, S.191-198
-
Auer, S.; Oelen, A.; Haris, A.M.; Stocker, M.; D'Souza, J.; Farfar, K.E.; Vogt, L.; Prinz, M.; Wiens, V.; Jaradeh, M.Y.: Improving access to scientific literature with knowledge graphs : an experiment using library guidelines to judge information integrity (2020)
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- Source
- Bibliothek: Forschung und Praxis. 44(2020) H.3, S.516-529
-
Amirhosseini, M.; Avidan, G.: ¬A dialectic perspective on the evolution of thesauri and ontologies (2021)
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- Theme
- Konzeption und Anwendung des Prinzips Thesaurus
-
Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020)
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- Date
- 20. 1.2015 18:30:22
-
Ghosh, S.S.; Das, S.; Chatterjee, S.K.: Human-centric faceted approach for ontology construction (2020)
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- Content
- DOI:10.5771/0943-7444-2020-1-31.
- Source
- Knowledge organization. 47(2020) no.1, S.31-44
-
Gnoli, C.: Faceted classifications as linked data : a logical analysis (2021)
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- Content
- Beitrag eines Special issue: Best papers from NKOS Consolidated Workshop 2020 - Part 1. DOI: 10.5771/0943-7444-2021-3-213.
-
Coladangelo, L.P.: Organizing controversy : toward cultural hospitality in controlled vocabularies through semantic annotation (2021)
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- Content
- Beitrag eines Special issue: Best papers from NKOS Consolidated Workshop 2020 - Part 1. Vgl.: doi.org/10.5771/0943-7444-2021-3-195.
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Baroncini, S.; Sartini, B.; Erp, M. Van; Tomasi, F.; Gangemi, A.: Is dc:subject enough? : A landscape on iconography and iconology statements of knowledge graphs in the semantic web (2023)
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- Abstract
- In the last few years, the size of Linked Open Data (LOD) describing artworks, in general or domain-specific Knowledge Graphs (KGs), is gradually increasing. This provides (art-)historians and Cultural Heritage professionals with a wealth of information to explore. Specifically, structured data about iconographical and iconological (icon) aspects, i.e. information about the subjects, concepts and meanings of artworks, are extremely valuable for the state-of-the-art of computational tools, e.g. content recognition through computer vision. Nevertheless, a data quality evaluation for art domains, fundamental for data reuse, is still missing. The purpose of this study is filling this gap with an overview of art-historical data quality in current KGs with a focus on the icon aspects. Design/methodology/approach This study's analyses are based on established KG evaluation methodologies, adapted to the domain by addressing requirements from art historians' theories. The authors first select several KGs according to Semantic Web principles. Then, the authors evaluate (1) their structures' suitability to describe icon information through quantitative and qualitative assessment and (2) their content, qualitatively assessed in terms of correctness and completeness. Findings This study's results reveal several issues on the current expression of icon information in KGs. The content evaluation shows that these domain-specific statements are generally correct but often not complete. The incompleteness is confirmed by the structure evaluation, which highlights the unsuitability of the KG schemas to describe icon information with the required granularity. Originality/value The main contribution of this work is an overview of the actual landscape of the icon information expressed in LOD. Therefore, it is valuable to cultural institutions by providing them a first domain-specific data quality evaluation. Since this study's results suggest that the selected domain information is underrepresented in Semantic Web datasets, the authors highlight the need for the creation and fostering of such information to provide a more thorough art-historical dimension to LOD.
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Frey, J.; Streitmatter, D.; Götz, F.; Hellmann, S.; Arndt, N.: DBpedia Archivo (2020)
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- Content
- # Community action on all ontologies (quality, FAIRness, conformity) Archivo is extensible and allows contributions to give consumers a central place to encode their requirements. We envision fostering adherence to standards and strengthening incentives for publishers to build a better (FAIRer) web of ontologies. 1. SHACL (https://www.w3.org/TR/shacl/, co-edited by DBpedia's CTO D. Kontokostas) enables easy testing of ontologies. Archivo offers free SHACL continuous integration testing for ontologies. Anyone can implement their SHACL tests and add them to the SHACL library on Github. We believe that there are many synergies, i.e. SHACL tests for your ontology are helpful for others as well. 2. We are looking for ontology experts to join DBpedia and discuss further validation (e.g. stars) to increase FAIRness and quality of ontologies. We are forming a steering committee and also a PC for the upcoming Vocarnival at SEMANTiCS 2021. Please message hellmann@informatik.uni-leipzig.de <mailto:hellmann@informatik.uni-leipzig.de>if you would like to join. We would like to extend the Archivo platform with relevant visualisations, tests, editing aides, mapping management tools and quality checks.
