Semantic Web Technology and Recommender Systems
Material type:
TextLanguage: English Publication details: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023Description: 1 online resource (284 p.)Content type: - text
- computer
- online resource
- 9783036572109
- 9783036572116
- books978-3-0365-7211-6
- Information technology industries
- associative mining
- big data analytics
- blockchain
- classification
- clustering
- cold start
- Context-Aware Recommender System
- cryptocurrency
- cultural informatics
- cultural space
- cultural spaces
- data catalog
- dataset recommender
- decision support
- digital parliament
- digital transformation
- disruptive technologies
- domain knowledge graph
- fact type
- informal document to SBVR
- interactive information retrieval
- job matching
- journey planning
- Kendall Correlation Coefficient
- keyword search
- knowledge graphs
- knowledge-driven processes
- legal tech
- linked data
- machine learning
- migrants
- mobility
- named entity disambiguation
- natural language
- natural language query
- neural networks
- ontologies
- ontology
- operational rules
- OWL/RDF
- parliamentary administrators
- parliamentary hype cycle
- ParlTech
- Pearson Correlation Coefficient
- personalization
- preferences
- process mining
- RDF
- reasoning
- recommendation
- recommendation system
- recommendation systems
- recommender systems
- refugees
- resource efficiency
- SBVR
- semantic trajectories
- semantic web
- sentiment analysis
- social data
- social media analysis
- social media analytics
- spatial datasets
- Spearman Correlation Coefficient
- technology framework
- terrorism
- text annotation
- trending topics
- user experience
- user influence
- user modeling
- Wikification
- word sense disambiguation
Open Access Unrestricted online access star
In this book (Volume I), 13 papers have been published on different topics of the wide research areas of Semantic Web and Recommender systems. These papers have been carefully selected based on the peer review of several respectful reviewers organized by MDPI's BDCC journal. This issue has attracted well-known international research teams, who we would like to thank for their work.
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