Cover Image
Read Now

Semantic Web Technology and Recommender Systems

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...

Full description

Bibliographic Details
Main Author: Kotis, Konstantinos
Other Authors: Spiliotopoulos, Dimitris
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Natural Language
Resource Efficiency
Interactive Information Retrieval
Cultural Space
Semantic Trajectories
Technology Framework
Cultural Informatics
Journey Planning
Digital Transformation
Wikification
Reasoning
Knowledge-driven Processes
Neural Networks
Recommender Systems
Fact Type
Keyword Search
Social Data
Parltech
Preferences
Social Media Analysis
Parliamentary Hype Cycle
Cultural Spaces
Natural Language Query
Word Sense Disambiguation
Migrants
Decision Support
Disruptive Technologies
User Modeling
Dataset Recommender
Social Media Analytics
Information Technology Industries / Bicssc
Legal Tech
Cryptocurrency
Kendall Correlation Coefficient
Domain Knowledge Graph
Trending Topics
Text Annotation
User Influence
Semantic Web
Parliamentary Administrators
Sentiment Analysis
Spearman Correlation Coefficient
Ontology
Clustering
Personalization
Recommendation
Context-aware Recommender System
User Experience
Operational Rules
Mobility
Data Catalog
Process Mining
Digital Parliament
Twitter
Blockchain
Rdf
Owl/rdf
Ontologies
Classification
Pearson Correlation Coefficient
Terrorism
Sbvr
Big Data Analytics
Recommendation System
Cold Start
Knowledge Graphs
Associative Mining
Spatial Datasets
Named Entity Disambiguation
Refugees
Job Matching
Informal Document To Sbvr
Recommendation Systems
Linked Data
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (284 p.)
ISBN:books978-3-0365-7211-6
9783036572109
9783036572116

Similar Items