Analysing the Structure of Semantic Concepts in Visual Databases

Author(s):  
Mats Sjöberg ◽  
Jorma Laaksonen
2021 ◽  
Vol 5 (1) ◽  
pp. 37-79
Author(s):  
Alexander Werth

Abstract: This paper deals with German kinship terms ending with the form n (Muttern, Vatern). Firstly, data from newspapers are presented that show that especially Muttern denotes very special meanings that can only be derived to a limited extent from the lexical base: a) Muttern referring to a home where mother cares for you, b) Muttern standing for overprotection, and c) Muttern representing a special food style (often embedded in prepositional phrases and/or comparative constructions like wie bei or wie von Muttern). Secondly, it is argued that the addition of n to kinship terms is not a word-formation pattern, but that these word forms are instead lexicalized and idiomatized in contemporary German. Hence, a diachronic scenario is applied to account for the data. It is argued in the present paper that the n-forms have been borrowed from Low German dialects, especially from constructional idioms of the type ‘X-wie bei Muttern’ and that forms were enriched by semantic concepts associated with the dialect.


Author(s):  
Yufei Wang ◽  
Zhe Lin ◽  
Xiaohui Shen ◽  
Jianming Zhang ◽  
Scott Cohen

Author(s):  
David Fichtmueller ◽  
Walter G. Berendsohn ◽  
Gabriele Droege ◽  
Falko Glöckler ◽  
Anton Güntsch ◽  
...  

The TDWG standard ABCD (Access to Biological Collections Data task group 2007) was aimed at harmonizing terminologies used for modelling biological collection information and is used as a comprehensive data format for transferring collection and observation data between software components. The project ABCD 3.0 (A community platform for the development and documentation of the ABCD standard for natural history collections) was financed by the German Research Council (DFG). It addressed the transformation of ABCD into a semantic web-compliant ontology by deconstructing the XML-schema into individually addressable RDF (Resource Description Framework) resources published via the TDWG Terms Wiki (https://terms.tdwg.org/wiki/ABCD_2). In a second step, informal properties and concept-relations described by the original ABCD-schema were transformed into a machine-readable ontology and revised (Güntsch et al. 2016). The project was successfully finished in January 2019. The ABCD 3 setup allows for the creation of standard-conforming application schemas. The XML variant of ABCD 3.0 was restructured, simplified and made more consistent in terms of element names and types as compared to version 2.x. The XML elements are connected to their semantic concepts using the W3C SAWSDL (Semantic Annotation for Web Services Description Language and XML Schema) standard. The creation of specialized applications schemas is encouraged, the first use case was the application schema for zoology. It will also be possible to generate application schemas that break the traditional unit-centric structure of ABCD. Further achievements of the project include creating a Wikibase instance as the editing platform, with related tools for maintenance queries, such as checking for inconsistencies in the ontology and automated export into RDF. This allows for fast iterations of new or updated versions, e.g. when additional mappings to other standards are done. The setup is agnostic to the data standard created, it can therefore also be used to create or model other standards. Mappings to other standards like Darwin Core (https://dwc.tdwg.org/) and Audubon Core (https://tdwg.github.io/ac/) are now machine readable as well. All XPaths (XML Paths) of ABCD 3.0 XML have been mapped to all variants of ABCD 2.06 and 2.1, which will ease transition to the new standard. The ABCD 3 Ontology will also be uploaded to the GFBio Terminology Server (Karam et al. 2016), where individual concepts can be easily searched or queried, allowing for better interactive modelling of ABCD concepts. ABCD documentation now adheres to TDWG’s Standards Documentation Standard (SDS, https://www.tdwg.org/standards/sds/) and is located at https://abcd.tdwg.org/. The new site is hosted on Github: https://github.com/tdwg/abcd/tree/gh-pages.


1999 ◽  
Author(s):  
Craig Schlenoff ◽  
Mihai Ciocoiu ◽  
Don Libes ◽  
Michael Gruninger

Abstract In all types of communication, the ability to share information is often hindered because the meaning of information can be drastically affected by the context in which it is viewed and interpreted. This is especially true in manufacturing because of the growing complexity of manufacturing information and the increasing need to exchange this information among various software applications. Different manufacturing functions may use different terms to mean the exact same concept or use the exact same term to mean very different concepts. Often, the loosely defined natural language definitions associated with the terms contain so much ambiguity that they do not make the differences evident and/or do not provide enough information to resolve the differences. A solution to this problem is the development of a taxonomy, or ontology, of manufacturing concepts and terms along with their respective formal and unambiguous definitions. This paper focuses on the Process Specification Language (PSL) effort at the National Institute of Standards and Technology whose goal is to identify, formally define, and structure the semantic concepts intrinsic to the capture and exchange of discrete manufacturing process information. Specifically, it describes the results of the first pilot implementation, where PSL was successfully used as an interlingua to exchange manufacturing process information between the IDEF3-based ProCAP1 process modeling tool and the C++ based ILOG Scheduler.


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