Context-aware ontologies generation with basic level concepts from collaborative tags

Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus

“…They convey very little effective information. Since sparsity affects the quality of short text semantics, traditional techniques as those used for long texts are impractical [8], [9], as it is difficult to extract key features from large feature spaces for accurate classification training.…”

“…Available at https://www.ranks.nl/stopwords/spanish 8. Available at https://github.com/olea/lemarios.…”

Ontology Learning for Systems Engineering Body of Knowledge

“…The definitions of ontologies have evolved over the years, as can be seen from Table 2.1. (2005) formal and structural way of representing the concepts and relations of a shared conceptualization Asim et al (2018) effectively formal and explicit specifications in the form of concepts and relations of shared conceptualizations Wong et al (2012) shared conceptualization of a domain as they are assumed to reflect the agreement of a certain community or group of people Cimiano et al (2006) formal conceptualization of a particular domain shared by a group of people Gacitua et al (2008) shared conceptualizations for representing domain knowledge Kong (2007) shared formal conceptualization of particular domain between members of a community of interest, which help them exchange information Benslimane et al (2008) form of formal representation of domain-specific knowledge Dong and Hussain (2013) explicit conceptualization of a problem domain Wouters et al (2005) formal and rigorous approach for knowledge representation Chen et al (2013) a standard for knowledge representation Quan et al (2006) representation of entities and their relationships in a particular domain a formal description of a discourse domain Hu et al (2014) the specification of the objects, properties, and relations that one would encounter in a particular domain of discourse Cai et al (2016) a highly structured system of concepts covering the processes, objects, and attributes of a domain as well as all their pertinent complex relations Li et al (2009) a shared understanding of some domains of interest, which is often conceived as a set of classes (concepts), relations, functions, axioms, and instances Gaeta et al (2011) Ding andFoo (2002) a shared and common understanding of a domain that can be communicated between people and applications Bhatt et al (2004) The table shows a collection of representative definitions of ontologies, which indicates a slight change over time to suit different research focuses. Many authors agree that an ontology is a specification of a conceptualization (Alobaidi et al, 2018;Barforush and Rahnama, 2012;Gómez-Pé rez and Manzano-Macho, 2005;Jiang and Tan, 2010;Jung, 2004;Lau et al, 2009;Monika ...…”

Using knowledge anchors to facilitate user exploration of data graphs

“…The closest ontology summarisation approach to the context of our work deals with extracting key concepts in an ontology [59,60]. It highlights the value of cognitive natural categories for identifying key concepts to aid ontology engineers to better understand the ontology and quickly judge the suitability of an ontology in a knowledge engineering project.…”

“…The authors applies a name simplicity approach, which is inspired by the cognitive science notion of Basic Level Objects (BLO) [21] as a way to filter entities with lengthy labels for the ontology summary. The work in [60] has utilised BLO to extract ontologies from collaborative tags. A metric based on the category utility is proposed to identify basic concepts from collaborative tags, where tags of a concept are inherited by its sub-concepts and a concept has all instances of its descendants.…”