Building a concept hierarchy from corpus analysis

Terminology ◽  
2004 ◽  
Vol 10 (2) ◽  
pp. 241-263 ◽  
Author(s):  
Caroline Barrière
Keyword(s):  
Concept Lattice ◽  
Scuba Diving ◽  
Knowledge Bases ◽  
Corpus Analysis ◽  
Knowledge Organization ◽  
Semantic Relations ◽  
Conceptual Representation ◽  
Concept Hierarchy ◽  
Automatic Construction ◽  
Conceptual Graph

Corpus analysis is today at the heart of building Terminological Knowledge Bases (TKBs). Important terms are usually first extracted from a corpus and then related to one another via semantic relations. This research brings the discovery of semantic relations to the forefront to allow the discovery of less stable lexical units or unlabeled concepts, which are important to include in a TKB to facilitate knowledge organization. We suggest a concept hierarchy made of concept nodes defined via a representational structure emphasizing both labeling and conceptual representation. The Conceptual Graph formalism chosen for conceptual representation allows a compositional view of concepts, which is relevant for their comparison and their organization in a concept lattice. Examples manually extracted from a scuba-diving corpus are presented to explore the possibilities of this approach. Subsequently, steps toward a semi-automatic construction of a concept hierarchy from corpus analysis are presented to evaluate their underlying hypothesis and feasibility.

scholarly journals theoretical investigation about the notion of parts and wholes

2014 ◽  
Vol 8 (1/2) ◽  
Author(s):  
Mauricio Barcellos ALMEIDA ◽  
Renata Abrantes BARACHO
Keyword(s):  
Information Retrieval ◽  
Theoretical Investigation ◽  
Information Science ◽  
Knowledge Organization ◽  
Semantic Relations ◽  
Philosophical Study ◽  
Knowledge Organization Systems ◽  
Science Community ◽  
Issue Knowledge ◽  
The Relationship

Within the realm of Information Science, information retrieval is a seminal issue. Knowledge organization systems are instruments that organize knowledge by connecting concepts through semantic relations for purposes of information retrieval. One of the most important of these semantic relations is the so-called part-whole relation. In this paper, we revisit some peculiarities of part-whole relations that are often overlooked by the Information Science community. In order to do this, we provide a theoretical investigation of two perspectives used to explain the notion of parts and wholes: a formal perspective, which is based on the philosophical study usually called mereology; a non-formal perspective, which is based on the linguistic study about a relation called meronym. We discuss the relationship between these perspectives through the issue of transitivity, which is an important property of part-whole relations for information retrieval. We find that these perspectives, although distinguished, are somehow complementary. The results of our analysis suggest that the choice for either a formal or a non-formal perspective could be based on a pragmatic criterion in the scope of development of knowledge organization systems. We conclude by offering some considerations correlating two main sorts of these systems, namely ontologies and thesauri.

scholarly journals Active Semantic Relations in Layered Enterprise Architecture Development

2021 ◽  
pp. 3-16
Author(s):  
Matt Baxter ◽  
Simon Polovina ◽  
Wim Laurier ◽  
Mark von Rosing
Keyword(s):  
Directed Graph ◽  
Enterprise Architecture ◽  
Directed Graphs ◽  
Building Blocks ◽  
Semantic Relations ◽  
Formal Concept ◽  
General Applicability ◽  
Conceptual Graph ◽  
Architecture Development

AbstractEnterprise Architecture (EA) metamodels align an organisation’s business, information and technology resources so that these assets best meet the organisation’s purpose. The Layered EA Development (LEAD) Ontology enhances EA practices by a metamodel with layered metaobjects as its building blocks interconnected by semantic relations. Each metaobject connects to another metaobject by two semantic relations in opposing directions, thus highlighting how each metaobject views other metaobjects from its perspective. While the resulting two directed graphs reveal all the multiple pathways in the metamodel, more desirable would be to have one directed graph that focusses on the dependencies in the pathways. Towards this aim, using CG-FCA (where CG refers to Conceptual Graph and FCA to Formal Concept Analysis) and a LEAD case study, we determine an algorithm that elicits the active as opposed to the passive semantic relations between the metaobjects resulting in one directed graph metamodel. We also identified the general applicability of our algorithm to any metamodel that consists of triples of objects with active and passive relations.

Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns

2021 ◽  
Author(s):  
Ye Wang ◽  
Daniele Grandi ◽  
Dixun Cui ◽  
Vivek Rao ◽  
Kosa Goucher-Lambert
Keyword(s):  
Knowledge Bases ◽  
Knowledge Organization ◽  
Housing Cost ◽  
Team Collaboration ◽  
Organization Behavior ◽  
Related Data ◽  
Trade Offs ◽  
Support Tools ◽  
Insight Into

Abstract Knowledge organization is an essential component of engineering design, and a deeper understanding of how designers organize knowledge could enable more effective insights in support of the design process. To explore this, we examine 23 professional designers’ knowledge organization practices as they virtually engage with data collected during a teardown of a consumer product. Designers organized this data by forming groups of related data, nesting subgroups of data within groups, and creating directional links between groups of data and individual data. Our results indicate three insights about how designers organize and acquire knowledge from product teardowns. First, we observe that while designers find grouping data to be more effective for learning, linking proved more helpful for knowledge transfer. Second, we find that designers employ links between data much more frequently than they do nests, and that links primarily serve to identify trade-offs, requirements, and opportunities for team collaboration. Finally, a graph analysis indicates that design features, product housing, cost, and manufacturing coexist as separate but central groups in designers’ knowledge organization, reflecting the diversity of perspectives on knowledge organization emergent in a constrained teardown activity. These findings provide insight into professional designers’ knowledge organization practices, and represent a preliminary step toward design knowledge bases that more accurately reflect designer behavior, ultimately enabling more effective data-driven support tools for design.

A Concept Lattice Merger Approach for Ontology Construction

2011 ◽  
Vol 181-182 ◽  
pp. 667-672
Author(s):  
Bao Chuan Han ◽  
Ya Jun Du ◽  
Chang Wang ◽  
Jing Xu
Keyword(s):  
Semantic Representation ◽  
Concept Lattice ◽  
Domain Ontology ◽  
Semantic Relations ◽  
Formal Concept ◽  
Concept Lattices ◽  
Ontology Construction ◽  
Semantic Query ◽  
Hierarchical Relations ◽  
Ontology Tree

The method of merging concept lattice in domain ontology construction can describe the implicit concepts and relationships between concepts more appropriately for semantic representation and query match. In order to enrich semantic query, the paper intends to apply the theory of Formal Concept Analysis (FCA) to establish source concept lattices, through which the domain concepts are extracted from source concept lattices to generate the optimized concept lattice. Then, the ontology tree is generated by lattice mapping ontology algorithm (LMOA) combing some hierarchical relations in the optimized concept lattice. The experiment proves that the domain ontology can be achieved effectively by merging concept lattices and provide the semantic relations more precisely.

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