A Method for Automatic Construction of Ontological Knowledge Bases. II. Automatic Identification of Semantic Relations in Ontological Networks*

2016 ◽  
Vol 52 (2) ◽  
pp. 199-205 ◽  
Author(s):  
O. O. Marchenko
Keyword(s):  
Knowledge Bases ◽  
Semantic Relations ◽  
Automatic Identification ◽  
Automatic Construction

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 Automatic Construction of Sememe Knowledge Bases via Dictionaries

2021 ◽  
Author(s):  
Fanchao Qi ◽  
Yangyi Chen ◽  
Fengyu Wang ◽  
Zhiyuan Liu ◽  
Xiao Chen ◽  
...  
Keyword(s):  
Knowledge Bases ◽  
Automatic Construction

Recherche d'équivalences et structuration des réseaux notionnels

Terminology ◽  
1996 ◽  
Vol 3 (1) ◽  
pp. 53-83
Author(s):  
Marc Van Campenhoudt
Keyword(s):  
Semantic Networks ◽  
Knowledge Bases ◽  
Semantic Relations ◽  
Conceptual Approach ◽  
Class Inclusion

Terminologists generally take a conceptual approach which leads them to consider the observed semantic relations between the described concepts. Hence, they are today directing their attention to the works of cognitivists and those who specialize in semantic networks are trying, like them, to build terminological knowledge bases. The object of this paper is to examine the various relations between the constituent parts and the whole, to describe how they interact with the hyponymy (class inclusion), and to view their role in the establishment of equivalences in multilingual terminology. In particular, the typology of meronomic (part-whole) relations proposed by certain cognitivists is compared against the relations which may be observed in nautical terminology.

scholarly journals Lexical Sememe Prediction via Word Embeddings and Matrix Factorization

2017 ◽  
Author(s):  
Ruobing Xie ◽  
Xingchi Yuan ◽  
Zhiyuan Liu ◽  
Maosong Sun
Keyword(s):  
Knowledge Base ◽  
Real World ◽  
Matrix Factorization ◽  
Knowledge Bases ◽  
Semantic Relations ◽  
Linguistic Knowledge ◽  
Word Embeddings ◽  
New Words ◽  
First Time

Sememes are defined as the minimum semantic units of human languages. People have manually annotated lexical sememes for words and form linguistic knowledge bases. However, manual construction is time-consuming and labor-intensive, with significant annotation inconsistency and noise. In this paper, we for the first time explore to automatically predict lexical sememes based on semantic meanings of words encoded by word embeddings. Moreover, we apply matrix factorization to learn semantic relations between sememes and words. In experiments, we take a real-world sememe knowledge base HowNet for training and evaluation, and the results reveal the effectiveness of our method for lexical sememe prediction. Our method will be of great use for annotation verification of existing noisy sememe knowledge bases and annotation suggestion of new words and phrases.

scholarly journals Frame Semantics in the Arabic Translation of Philosophical Terminology

2017 ◽  
Vol 8 (1) ◽  
pp. 388-396
Author(s):  
Bahaa-eddin A. Hassan
Keyword(s):  
Knowledge Bases ◽  
Semantic Relations ◽  
Frame Semantics ◽  
Arabic Translation ◽  
Cognitive Frames ◽  
Epistemological Barriers

Abstract The purpose of this study is to examine how philosophical terms are translated into Arabic. It aims at discussing the problems arising from the epistemological difference between Western philosophical terms and their counterparts in Arabic in the degree of reliance on cognitive frames. It focuses on the structure of terminological knowledge bases, which have a hidden network of semantic relations. Examples of the study are taken from the specialized encyclopedia of Abdel Rahman Badawi (1996). The study utilizes Frame-Based Terminology Theory to analyze the translation of the philosophical terms in the encyclopedia. The study argues that difficulties in translating philosophical terms represent epistemological barriers.

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