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Ontology, Management of Project Process, and Information Technologies
Published in Manuel Martínez, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2020
S.R.L. do Amorim, P.F.R. Rabelo
The faceted classification, developed in 1930 by Ranganathan, is greatly accepted by scholars as a resource for the organization of knowledge due to its potential to adapt itself to the changes and the evolution of knowledge. It combines properties that characterize a determined term and has the possibility of aggregating new terms to be classified. Its differential is the possibility of allowing new search systems and the use of intelligent systems.
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Published in Claudia Lanza, Semantic Control for the Cybersecurity Domain, 2023
Large amount of works in the literature address to the construction of thesauri for a range of different domains of study [22; 45; 62; 65]. One of the works about the methods for building a thesaurus is represented by Broughton's handbook [171]. In this work, the author gives light to the main guidelines to develop a semantic tool through which technical concepts can be organized by means of hierarchical, equivalence and associative relations between the terms representing them in a thesaurus. On the same research extent as Broughton (2006), Soergel (1995) too gives light to the most known thesauri with clear examples of their concrete applicability, such as the AAT thesaurus for Art and Architecture2. One of the methods followed to build a thesaurus, beyond the systematic one that uses the main extracted terms obtained by the controlled lists of domain-oriented datasets and structure them in the tangled network of semantic relations, is the faceted classification technique that assigns a facet to gather terms with the same connection under a category outlining their structures. It comes from Ranganathan's theory of Colon Classification which categorizes the events of the reality by six main classes/facets under the whole acronym PMEST: Personality, Matter, Energy, Space, Time (PMEST), that in the late 1950s and 1960s have been complemented by the Classification Reserarch Group (CRG) with other categories, i.e., Parts, Materials, Property, Process, Operation, Agent, Space, Time and Form of presentation where facets because these ones are conceived as not a priori categories to classify subjects [16], but “ […] derived from the subject to be classified, in each specific context” (2017:288). The methodology of assigning facets to conceptual groups is described in ISO 25964:2-2013: “Firstly subjects are analyzed into simple concepts according to fundamental categories such as activities, entities, places, etc. These concepts are enumerated in the scheme as classes, each with an assigned notation. Then the notation for a complex subject is synthesized by combining the notation of the simpler concepts in accordance with rules for sequence, known as citation order. The sequencing rules are essential to ensure that all the documents on the same complex subject are given exactly the same notation and hence are brought together.” (2013:52) This principle is adapted to thesauri construction, such as the aforementioned AAT, which exploits the grouping system provided by facets to organize knowledge by upper categories and better segment the content of the domains to be managed.
The CoDIS Taxonomy for Brain-Computer Interface Games Controlled by Electroencephalography
Published in International Journal of Human–Computer Interaction, 2023
Gabriel Alves Mendes Vasiljevic, Leonardo Cunha de Miranda
A taxonomy is a scheme of classification. The proposed taxonomy, called CoDIS, is faceted, rather than hierarchical, meaning that there is no implicit relationship between the classification categories, and no category is more important or general than the others. Instead, the investigated phenomenon is seen with multiple perspectives, called facets, allowing to classify an entity based on different aspects or characteristics (Tzitzikas et al., 2007; Usman et al., 2017). A faceted classification scheme can also be seen as a collection of taxonomies (Tzitzikas et al., 2007), since each facet has its own set of terminology for representing the different perspectives of the objects of interest, and each facet can be developed or expanded individually (Kwasnik, 1999). An individual entity is classified by associating it with zero or more terms from each facet. A faceted taxonomy is also recommended in cases in which the object of interest is subject to change over time, since it is more scalable in comparison to hierarchical structures (Prieto-Díaz, 1991).