Everything about Semantic network
Knowledge base that represents semantic relations between concepts in a network
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts, mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Semantic networkA 5-minute orientation
- Skim a recent paper: Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion networkInfluential work since 2022
- Pick up a classic book: Computational IntelligenceThe most-reprinted book on the subject
- Read the landmark paper: Fully Convolutional Networks for Semantic SegmentationCited 7,017 times
- Go sideways: Semantic ResearchA closely related topic
- Go sideways: Semantic decomposition (natural language processing)A closely related topic
📖 Definitions
Noun A graph whose vertices represent concepts and edges represent semantic relations, such as synonymy—having very similar meaning, hyponymy—being a subclass, or meronymy—being a part of a whole.
Noun A quantitative research technique that analyzes the data in a control cell against a test cell to determine how viewing an ad strengthens the linkages between related ideas in a product category.
Noun A quantitative research technique used to develop “selling pathways” to motivate sales.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Fully Convolutional Networks for Semantic Segmentation
Network Visualization by Semantic Substrates
Semantic Grouping Network for Video Captioning
SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation
Stacked Deconvolutional Network for Semantic Segmentation
The semantic distance task: Quantifying semantic distance with semantic network path length.
Contextual ensemble network for semantic segmentation
General and feature-based semantic representations in the semantic network
🆕 Influential since 2022
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes
SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness
📚 Books worth reading
Computational IntelligenceAndries P. Engelbrecht · 2002
Foundations Of Fuzzy Logic And Semantic Web LanguagesUmberto Straccia · 2012- 📕SMAP 2007International Workshop on Semantic Media Adaption and Personalization (2nd 2007 London, England) · 2007
Mathematical Perspectives on Neural NetworksPaul Smolensky, Michael C. Mozer · 1996
Semantic TechnologyGuilin Qi, Kouji Kozaki · 2015
Semantic web for the working ontologistDean Allemang · 2008
The Semantic Web. Latest Advances and New DomainsFabien Gandon, Marta Sabou · 2015- 📕Social Semantic Web MiningTope Omitola, Sebastián A. Ríos · 2015
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Semantic Research Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California, with offices in the National…
- Semantic decomposition (natural language processing) A semantic decomposition is an algorithm that breaks down the meanings of phrases or concepts into less complex concepts. The result of a semantic decomposition…
- Semantic data model A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database…
- Frame semantics (linguistics) Frame semantics is a theory of linguistic meaning developed by Charles J. Fillmore that extends his earlier case grammar. It relates linguistic semantics…
- Multimedia Web Ontology Language Machine interpretation of documents and services in Semantic Web environment is primarily enabled by (a) the capability to mark documents, document segments…
- DOGMA DOGMA, short for Developing Ontology-Grounded Methods and Applications, is the name of research project in progress at Vrije Universiteit Brussel's STARLab…
- Semantic Web The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal…
- Knowledge graph In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate…