Semantic Protocol and Resource Description Framework Query Language: A Comprehensive Review

Houssein, Essam H.; Ibrahem, Nahed; Zaki, Alaa M.; Sayed, Awny

doi:10.3390/math10173203

Cited by 6 publications

(6 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• List of published articles, indicating the time of publication, type of article [14] • Information from standard columns of newspapers, such as sports, lifestyle, business [15] • Employee information • Advertising information There are several types of applications that use this knowledge base, for example: • System for retrieving, organizing and answering queries about articles that have been published [10] • Systems for analyzing advertising revenue or pricing [16] Knowledge Base Reuse With… ■ 140…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

Ledentsov

2023

itsdi

View full text Add to dashboard Cite

The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.

show abstract

Section: Resultsmentioning

confidence: 99%

“…HTML <META>-tags it was the first attempt to represent semantics in web documents [10]. Its intended use is limited to declaring global properties that apply to the entire document, for example; <HEAD> <META NAME=äuthor" CONTENT="Frank"> </HEAD> This indicates that the author of the entire document is Frank.…”

Section: Html (Hypertext Markup Language)mentioning

confidence: 99%

Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

Ledentsov

2023

itsdi

View full text Add to dashboard Cite

show abstract

“…This can be explained by the fact that it applies the ILP-based approach to all MIPS directly, and the ILP-based approach has been proven to find minimal diagnoses [26]. (2) The score-based algorithm ScoreAlg has similar performances as BaseAlg since it selects the axioms with the highest score from each MIPS. Thus, it can find a minimal diagnosis in most cases.…”

Section: Results About Effectivenessmentioning

confidence: 99%

“…Ontologies play a fundamental role in many fields such as natural language understanding, semantic information extraction, and intelligent information integration to provide a formal representation of interested knowledge [1][2][3][4][5][6]. In particular, with the rapid development of knowledge graphs [7], ontologies became more essential for integrating, querying, and maintaining knowledge graphs [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

An Embedding-Based Approach to Repairing OWL Ontologies

Yang

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

High-quality ontologies are critical to ontology-based applications, such as natural language understanding and information extraction, but logical conflicts naturally occur in the lifecycle of ontology development. To deal with such conflicts, conflict detection and ontology repair become two critical tasks, and we focus on repairing ontologies. Most existing approaches for ontology repair rely on the syntax of axioms or logical consequences but ignore the semantics of axioms. In this paper, we propose an embedding-based approach by considering sentence embeddings of axioms, which translates axioms into semantic vectors and provides facilities to compute semantic similarities among axioms. A threshold-based algorithm and a signature-based algorithm are designed to repair ontologies with the help of detected conflicts and axiom embeddings. In the experiments, our proposed algorithms are compared with existing ones over 20 real-life incoherent ontologies. The threshold-based algorithm with different distance metrics is further evaluated with 10 distinct thresholds and 3 pre-trained models. The experimental results show that the embedding-based algorithms could achieve promising performances.

show abstract

“…The semantic Web is a vision for the future of the Web, where information is not only accessible to humans but can also be understood and processed by computers. This is achieved by using common standards such as RDF (Resource Description Framework) and OWL (Web Ontology Language) to describe and represent the meaning of data on the Web (Houssein et al, 2022). The Semantic Web is intended to enable intelligent applications to process and integrate information from a variety of sources, provide new and innovative services, and make the Web more accessible and useful.…”

Section: Semantic Webmentioning

confidence: 99%

The Metaverse and Web 3.0

Mahmoud

2023

Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World

View full text Add to dashboard Cite

The metaverse is a new frontier in consumption. It is a digital place where people can buy and consume anything they want, whenever they want. It is an oasis of freedom and choice, and it has the potential to change the way we live and work. The future of the metaverse is placed where data and technology merge to create an experience that's both unique and engaging. With information overload becoming a weekly reality, it is crucial for businesses to understand how their consumers are engaging with their offerings. This chapter synthesised the current research and practice to answer the following questions: How is the metaverse changing the way we consume and communicate? How is Web 3.0 empowering and transforming the metaverse? What are the threats Web 3.0 is bringing to our privacy on the internet?

show abstract

Semantic Protocol and Resource Description Framework Query Language: A Comprehensive Review

Cited by 6 publications

References 81 publications

Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

An Embedding-Based Approach to Repairing OWL Ontologies

The Metaverse and Web 3.0

Contact Info

Product

Resources

About