Knowledge-based terminological e‑dictionaries

Terminology ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 259-290 ◽  
Author(s):  
Christophe Roche ◽  
Rute Costa ◽  
Sara Carvalho ◽  
Bruno Almeida
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Theoretical Perspective ◽  
Specific Domain ◽  
Methodological Foundation ◽  
Knowledge Based ◽  
Different Types ◽  
The Creation ◽  
Islamic Archaeology ◽  
Concept Systems

Abstract The advent of the Semantic Web and of the Linked Data initiative have contributed to new perspectives and opportunities regarding terminology work. Among them are the double dimension approach and the theoretical perspective of ontoterminology anchored therein, which explore the synergies resulting from the systematic organisation of both term systems and concept systems. By doing so, they provide a theoretical and methodological foundation underlying the creation of knowledge-based terminological products that can support the conception and development of different types of e‑dictionaries. Within that scope, and based on examples pertaining to two different subject fields, namely endometriosis and Islamic archaeology, this article aims to propose a framework for the creation of a terminological e-dictionary, defined as a reference resource in a specific domain that gathers, structures and describes linguistic data in a systematic way in one, two or more languages, in order to define concepts that are denoted by terms.

Semantic Web, Ontology, and Linked Data

Web Services ◽  
2019 ◽  
pp. 127-148 ◽  
Author(s):  
Anindya Basu
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Knowledge Organization ◽  
Human Being ◽  
Data Modelling ◽  
Amount Of Information ◽  
Knowledge Based ◽  
Enormous Amount ◽  
The Future

Enormous amount of information is being produced every day and get consumed according to the needs of human being. Semantic web and ontology represent information which are machine processable and understand the semantics present among the entities. Ontology can be represented as Knowledge Organization and data modelling tool. Librarians are designated as “Information Custodian” or “Knowledge Keepers”. Implication and application of concepts in LIS can play big role in shaping knowledge-based services and mining and inferring them in better way in future. Ontology and semantic web is the future of LIS as speculated by several professionals and experts. This chapter would delineate a basic overview of Semantic Web, Ontology and linked data.

Semantic Web-Linked Data and Libraries

2020 ◽  
pp. 27-42 ◽  
Author(s):  
Wasim Rahaman
Keyword(s):  
Semantic Web ◽  
Information Society ◽  
Linked Data ◽  
Significant Activity ◽  
Digital Information ◽  
Huge Impact ◽  
The Creation ◽  
Modern Technologies

The present society is considered an information society. A society where the creation, distribution, use, integration, and manipulation of digital information have become the most significant activity in all aspects. Information is producing from every sector of any society, which has resulted in an information explosion. Modern technologies are also having a huge impact. So managing this voluminous information is really a tough job. Again WWW has opened the door to connect anyone or anything within a fraction of a second. This study discussed the Semantic Web and linked data technologies and their effect and application to libraries for the handling of various types of resources.

Semantic Web, Ontology, and Linked Data

2017 ◽  
pp. 189-217
Author(s):  
Anindya Basu
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Knowledge Organization ◽  
Human Being ◽  
Data Modelling ◽  
Amount Of Information ◽  
Knowledge Based ◽  
Enormous Amount ◽  
The Future

Enormous amount of information is being produced every day and get consumed according to the needs of human being. Semantic web and ontology represent information which are machine processable and understand the semantics present among the entities. Ontology can be represented as Knowledge Organization and data modelling tool. Librarians are designated as “Information Custodian” or “Knowledge Keepers”. Implication and application of concepts in LIS can play big role in shaping knowledge-based services and mining and inferring them in better way in future. Ontology and semantic web is the future of LIS as speculated by several professionals and experts. This chapter would delineate a basic overview of Semantic Web, Ontology and linked data.

scholarly journals Agronomic Linked Data (AgroLD): a Knowledge-based System to Enable Integrative Biology in Agronomy

2018 ◽  
Author(s):  
Aravind Venkatesan ◽  
Gildas Tagny ◽  
Nordine El Hassouni ◽  
Imene Chentli ◽  
Valentin Guignon ◽  
...  
Keyword(s):  
Semantic Web ◽  
Plant Disease Resistance ◽  
Linked Data ◽  
Explicit Knowledge ◽  
Heterogeneous Data ◽  
Plant Science ◽  
Research Approach ◽  
Knowledge Based System ◽  
Link Type ◽  
Knowledge Based

AbstractRecent advances in high-throughput technologies have resulted in a tremendous increase in the amount of omics data produced in plant science. This increase, in conjunction with the heterogeneity and variability of the data, presents a major challenge to adopt an integrative research approach. We are facing an urgent need to effectively integrate and assimilate complementary datasets to understand the biological system as a whole. The Semantic Web offers technologies for the integration of heterogeneous data and their transformation into explicit knowledge thanks to ontologies. We have developed the Agronomic Linked Data (AgroLD – www.agrold.org), a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, to integrate data about plant species of high interest for the plant science community e.g., rice, wheat, arabidopsis. We present some integration results of the project, which initially focused on genomics, proteomics and phenomics. AgroLD is now an RDF (Resource Description Format) knowledge base of 100M triples created by annotating and integrating more than 50 datasets coming from 10 data sources –such as Gramene.org and TropGeneDB– with 10 ontologies –such as the Gene Ontology and Plant Trait Ontology. Our evaluation results show users appreciate the multiple query modes which support different use cases. AgroLD’s objective is to offer a domain specific knowledge platform to solve complex biological and agronomical questions related to the implication of genes/proteins in, for instances, plant disease resistance or high yield traits. We expect the resolution of these questions to facilitate the formulation of new scientific hypotheses to be validated with a knowledge-oriented approach.

Semantic Web, Ontology, and Linked Data

2018 ◽  
pp. 24-46 ◽  
Author(s):  
Anindya Basu
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Knowledge Organization ◽  
Human Being ◽  
Data Modelling ◽  
Amount Of Information ◽  
Knowledge Based ◽  
Enormous Amount ◽  
The Future

Enormous amount of information is being produced every day and get consumed according to the needs of human being. Semantic web and ontology represent information which are machine processable and understand the semantics present among the entities. Ontology can be represented as Knowledge Organization and data modelling tool. Librarians are designated as “Information Custodian” or “Knowledge Keepers”. Implication and application of concepts in LIS can play big role in shaping knowledge-based services and mining and inferring them in better way in future. Ontology and semantic web is the future of LIS as speculated by several professionals and experts. This chapter would delineate a basic overview of Semantic Web, Ontology and linked data.

Semantic Web-Linked Data and Libraries

2021 ◽  
pp. 167-181
Author(s):  
Wasim Rahaman
Keyword(s):  
Semantic Web ◽  
Information Society ◽  
Linked Data ◽  
Significant Activity ◽  
Digital Information ◽  
Huge Impact ◽  
The Creation ◽  
Modern Technologies

The present society is considered an information society. A society where the creation, distribution, use, integration, and manipulation of digital information have become the most significant activity in all aspects. Information is producing from every sector of any society, which has resulted in an information explosion. Modern technologies are also having a huge impact. So managing this voluminous information is really a tough job. Again WWW has opened the door to connect anyone or anything within a fraction of a second. This study discussed the Semantic Web and linked data technologies and their effect and application to libraries for the handling of various types of resources.

The Role of Evaluative Tools in the Creation of the Memorial Media Portrait of Jacques Chirac (1932—2019)

2020 ◽  
pp. 97-110
Author(s):  
E. N. Mikhailova ◽  
V. A. Telegina
Keyword(s):  
Print Media ◽  
Political Elite ◽  
Systematic Analysis ◽  
Research Material ◽  
Political Orientations ◽  
Different Types ◽  
The Media ◽  
The Creation ◽  
Entire Text

The article is devoted to the study of evaluative tools used in modern French media in order to form the media image of a representative of the political elite. The techniques used in the creation of a memorial media portrait of Jacques Chirac (1932—2019), President of France from 1995 to 2007 are considered. The research material was the most prestigious French print media of various political orientations, published in late September — early October 2019 in connection with the death of the ex-President of the French Republic. The relevance of the research topic is dictated by the close attention of modern linguistics to axiological phenomena, differently presented in different types of discursive practices. The novelty of the study is due to the appeal to the analysis of the complex of evaluation tools used in the French print media when characterizing the former leader of the state during the nation’s farewell period. The estimated potential of the title of the article and its influence on the formation of the estimated vector of the entire text of the publication are shown. A systematic analysis of the assessment expression means, reflected in the memorial media portrait of the politician, is given. The factors that influenced the peculiarities of their use in this type of media portrait are revealed.

scholarly journals MMoOn Core – the Multilingual Morpheme Ontology

Semantic Web ◽  
2020 ◽  
pp. 1-29
Author(s):  
Bettina Klimek ◽  
Markus Ackermann ◽  
Martin Brümmer ◽  
Sebastian Hellmann
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Semantic Model ◽  
Lexical Resources ◽  
Domain Specific ◽  
Word Forms ◽  
Language Data ◽  
Core Ontology ◽  
Machine Readable ◽  
Rapid Emergence

In the last years a rapid emergence of lexical resources has evolved in the Semantic Web. Whereas most of the linguistic information is already machine-readable, we found that morphological information is mostly absent or only contained in semi-structured strings. An integration of morphemic data has not yet been undertaken due to the lack of existing domain-specific ontologies and explicit morphemic data. In this paper, we present the Multilingual Morpheme Ontology called MMoOn Core which can be regarded as the first comprehensive ontology for the linguistic domain of morphological language data. It will be described how crucial concepts like morphs, morphemes, word forms and meanings are represented and interrelated and how language-specific morpheme inventories can be created as a new possibility of morphological datasets. The aim of the MMoOn Core ontology is to serve as a shared semantic model for linguists and NLP researchers alike to enable the creation, conversion, exchange, reuse and enrichment of morphological language data across different data-dependent language sciences. Therefore, various use cases are illustrated to draw attention to the cross-disciplinary potential which can be realized with the MMoOn Core ontology in the context of the existing Linguistic Linked Data research landscape.

scholarly journals Proposing an Ontology Model for Planning Photovoltaic Systems

2021 ◽  
Vol 3 (3) ◽  
pp. 582-600
Author(s):  
Farhad Khosrojerdi ◽  
Stéphane Gagnon ◽  
Raul Valverde
Keyword(s):  
Solar Energy ◽  
Semantic Web ◽  
Relevant Information ◽  
Pv System ◽  
Semantic Web Technologies ◽  
Pv Systems ◽  
Knowledge Based ◽  
Point Tracking ◽  
Power Point ◽  
Energy Community

The performance of a photovoltaic (PV) system is negatively affected when operating under shading conditions. Maximum power point tracking (MPPT) systems are used to overcome this hurdle. Designing an efficient MPPT-based controller requires knowledge about power conversion in PV systems. However, it is difficult for nontechnical solar energy consumers to define different parameters of the controller and deal with distinct sources of data related to the planning. Semantic Web technologies enable us to improve knowledge representation, sharing, and reusing of relevant information generated by various sources. In this work, we propose a knowledge-based model representing key concepts associated with an MPPT-based controller. The model is featured with Semantic Web Rule Language (SWRL), allowing the system planner to extract information about power reductions caused by snow and several airborne particles. The proposed ontology, named MPPT-On, is validated through a case study designed by the System Advisor Model (SAM). It acts as a decision support system and facilitate the process of planning PV projects for non-technical practitioners. Moreover, the presented rule-based system can be reused and shared among the solar energy community to adjust the power estimations reported by PV planning tools especially for snowy months and polluted environments.

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