Ontology Evolution in the Corporate Semantic Web

2013 ◽  
Keyword(s):  
Semantic Web ◽  
Ontology Evolution

Referencing Resources through Ontology Evolution

2010 ◽  
pp. 224-244
Author(s):  
Déliar Rogozan ◽  
Gilbert Paquette
Keyword(s):  
Semantic Web ◽  
Domain Knowledge ◽  
Software Agents ◽  
Dynamic Environments ◽  
Ontology Evolution ◽  
Domain Ontologies ◽  
Original Domain ◽  
Fundamental Requirement

Evolution is a fundamental requirement for useful ontologies. Knowledge evolves continuously in all fields of knowledge due to the progress in research and applications. Because they are theories of knowledge in a precise domain, Ontologies need to evolve because the domain has changed, the viewpoint of the domain has changed or because problems in the original domain conceptualization have to be resolved or have been resolved (Noy & Klein, 2003). Moreover, in open and dynamic environments such as the Semantic Web, the ontologies need to evolve because domain knowledge evolves continually (Heflin & Hendler, 2000) or because ontology-oriented software-agents must respond to changes in users’ needs (Stojanovic, Maedche, Stojanovic, & Studer, 2003).

scholarly journals Ontology evolution: a process-centric survey

2013 ◽  
Vol 30 (1) ◽  
pp. 45-75 ◽  
Author(s):  
Fouad Zablith ◽  
Grigoris Antoniou ◽  
Mathieu d'Aquin ◽  
Giorgos Flouris ◽  
Haridimos Kondylakis ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Information Systems ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Process Model ◽  
Ontology Evolution ◽  
Depth Analysis ◽  
Future Challenges ◽  
Industrial Adoption

AbstractOntology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of Semantic Web techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of fields (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an in-depth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we first provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.

scholarly journals Improving Recommendations for Online Retail Markets Based on Ontology Evolution

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1650
Author(s):  
Rana Alaa ◽  
Mariam Gawish ◽  
Manuel Fernández-Veiga
Keyword(s):  
Semantic Web ◽  
Recommendation System ◽  
User Preferences ◽  
Personalized Recommendation ◽  
Purchase Decisions ◽  
Online Retail ◽  
Ontology Evolution ◽  
The One ◽  
Machine Readable ◽  
Machine Readable Form

The semantic web is considered to be an extension of the present web. In the semantic web, information is given with well-defined meanings, and thus helps people worldwide to cooperate together and exchange knowledge. The semantic web plays a significant role in describing the contents and services in a machine-readable form. It has been developed based on ontologies, which are deemed the backbone of the semantic web. Ontologies are a key technique with which semantics are annotated, and they provide common comprehensible foundation for resources on the semantic web. The use of semantics and artificial intelligence leads to what is known to be “Smarter Web”, where it will be easy to retrieve what customers want to see on e-commerce platforms, and thus will help users save time and enhance their search for the products they need. The semantic web is used as well as webs 3.0, which helps enhancing systems performance. Previous personalized recommendation methods based on ontologies identify users’ preferences by means of static snapshots of purchase data. However, as the user preferences evolve with time, the one-shot ontology construction is too constrained for capturing individual diverse opinions and users’ preferences evolution over time. This paper will present a novel recommendation system architecture based on ontology evolution, the proposed subsystem architecture for ontology evolution. Furthermore, the paper proposes an ontology building methodology based on a semi-automatic technique as well as development of online retail ontology. Additionally, a recommendation method based on the ontology reasoning is proposed. Based on the proposed method, e-retailers can develop a more convenient product recommendation system to support consumers’ purchase decisions.

scholarly journals Dynamic Change Evaluation for Ontology Evolution in the Semantic Web

2008 ◽  
Author(s):  
I. Palmisano ◽  
V. Tamma ◽  
L. Iannone ◽  
T.R. Payne ◽  
P. Doran
Keyword(s):  
Semantic Web ◽  
Dynamic Change ◽  
Ontology Evolution

Evaluating the validity of data instances against ontology evolution over the Semantic Web

2009 ◽  
Vol 51 (1) ◽  
pp. 83-97 ◽  
Author(s):  
Li Qin ◽  
Vijayalakshmi Atluri
Keyword(s):  
Semantic Web ◽  
Ontology Evolution

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning

The Study of semantic Web and WebService Security(Focus on Ontology)

2007 ◽  
Vol 8 (2) ◽  
pp. 391-403
Author(s):  
kang jang mook
Keyword(s):  
Semantic Web

Towards a Social and Semantic Web Platform for Sharing Endogenous Knowledge to Adapt to Climate Change

2020 ◽  
Author(s):  
Halguieta TRAWINA ◽  
Sadouanouan MALO ◽  
Ibrahima DIOP ◽  
Yaya TRAORE
Keyword(s):  
Climate Change ◽  
Semantic Web ◽  
Web Platform
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