A Core Ontology of Macroscopic Stuff

Author(s):  
C. Maria Keet
Keyword(s):  
Semantic Web ◽  
2020 ◽  
pp. 1-29
Author(s):  
Bettina Klimek ◽  
Markus Ackermann ◽  
Martin Brümmer ◽  
Sebastian Hellmann

In the last years a rapid emergence of lexical resources has evolved in the Semantic Web. Whereas most of the linguistic information is already machine-readable, we found that morphological information is mostly absent or only contained in semi-structured strings. An integration of morphemic data has not yet been undertaken due to the lack of existing domain-specific ontologies and explicit morphemic data. In this paper, we present the Multilingual Morpheme Ontology called MMoOn Core which can be regarded as the first comprehensive ontology for the linguistic domain of morphological language data. It will be described how crucial concepts like morphs, morphemes, word forms and meanings are represented and interrelated and how language-specific morpheme inventories can be created as a new possibility of morphological datasets. The aim of the MMoOn Core ontology is to serve as a shared semantic model for linguists and NLP researchers alike to enable the creation, conversion, exchange, reuse and enrichment of morphological language data across different data-dependent language sciences. Therefore, various use cases are illustrated to draw attention to the cross-disciplinary potential which can be realized with the MMoOn Core ontology in the context of the existing Linguistic Linked Data research landscape.


2022 ◽  
pp. 101977
Author(s):  
Simone Dornelas Costa ◽  
Monalessa Perini Barcellos ◽  
Ricardo de Almeida Falbo ◽  
Tayana Conte ◽  
Káthia M. de Oliveira

2020 ◽  
Vol 88 ◽  
pp. 66-82
Author(s):  
Regina Varnienė-Janssen ◽  
Albertas Šermokas

 Web technologies are the key for the implementing and ensuring the full range of user needs in the digital age. On the other hand, the issue of unified representation of digital content from diverse memory institutions in order to ensure semantic integrity still remains a matter of urgency. Semantic interoperability of information and data is essential in an integrated system. In this paper, we analyze and describe an ontology-based metadata interoperability approach and how this approach could be applied for memory institution data from diverse sources which do not support ontologies. In particular, we describe the use of the CIDOC CRM ontology as a mediating schema within Lithuania’s Information System of the Virtual Electronic Heritage (hereinafter ”VEPIS”) The paper introduces the role of the CIDOC CRM based Thesaurus of Personal Names, Geographical Names and Historical Chronology (hereinafter “BAVIC”), which operates as a core ontology within VEPIS by allowing to understand things and relationships between things as well as identify the time and space of things. The paper also focuses on trust of the cultural information on the Web. Users make trust judgments based on provenance that may or may not be explicitly offered to them. In particular, we describe how provenance is managed within digital preservation and access processes within VEPIS and define whether this management meets the W3C Provenance Incubator Group’s Requirements for Provenance on the Web. The paper is based on the results of the research initiated in 2018–2019 at the Faculty of Communication and the Faculty of Mathematics and Informatics of Vilnius University by authors of this paper.


Author(s):  
Ajay Chakravarthy ◽  
Richard Beales ◽  
Nikos Matskanis ◽  
Xiaoyu Yang

Heritage ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 611-630 ◽  
Author(s):  
Efthymia Moraitou ◽  
John Aliprantis ◽  
Yannis Christodoulou ◽  
Alexandros Teneketzis ◽  
George Caridakis

The Cultural Heritage (CH) domain encompasses a wide range of different disciplines, serving the study, interpretation, curation, and preservation of objects, collections, archives, sites, and the dissemination of related knowledge. In this context, stakeholders generate, retrieve, and share a vast amount of diverse information. Therefore, information interoperability has been considered a crucial task, especially in terms of semantics. In this way, the CIDOC CRM (International Committee for Documentation Conceptual Reference Model) has been widely used as an underlying model that offers interoperability between CH domain metadata standards and ontologies. To the best of our knowledge, an overall review of mapping, merging, and extending this core ontology, as well as an aggregate table which classifies and correlates those ontologies and standards, has not yet been presented. Our study conducts an aggregate review of relevant published efforts and outlines the various associations between them, encapsulating the CIDOC CRM and its specialized models, as well. This work aims to further clarify the field and scope of the different works, identify their methods, and highlight the semantic overlap, or differences, between them.


2010 ◽  
Vol 58 (2) ◽  
pp. 293-331 ◽  
Author(s):  
Ansgar Scherp ◽  
Thomas Franz ◽  
Carsten Saathoff ◽  
Steffen Staab
Keyword(s):  
The Real ◽  

2018 ◽  
Vol 137 ◽  
pp. 151-162 ◽  
Author(s):  
Said Fathalla ◽  
Sahar Vahdati ◽  
Sören Auer ◽  
Christoph Lange

2020 ◽  
Vol 15 (1) ◽  
pp. 7-39
Author(s):  
Cleyton Mário de Oliveira Rodrigues ◽  
Camila Bezerra ◽  
Fred Freitas ◽  
Italo Oliveira
Keyword(s):  

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