Notes:
Where then does the softbot (software robot), or pure AI, get its contextualization for the knowledge synthesis process?
- knowledge = (externally) contextualized information
- information = structured data
- data = set of datum
Semantic knowledge involves the ability to discern and identify the meaning of symbols and words; whereas, syntactic knowledge is used to analyze more complex sentence structure.
Wikipedia:
References:
- 7th Workshop On Knowledge And Reasoning In Practical Dialogue Systems
- Advances in Knowledge Discovery and Data Mining: Part 1
- Advances in Knowledge Discovery and Data Mining: Part 2
- Conceptual Structures for Discovering Knowledge
- Knowledge-Based Bioinformatics
- Knowledge-Driven Multimedia Information Extraction and Ontology Evolution
- Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning
- Semantic Agent Systems
- Semantic Web Services
See also:
100 Best Knowledge Graph Videos | 100 Best Semantic Web Videos | Graph-Based Knowledge Representation and Reasoning | Knowledge Representation and Reasoning (KR&R) | Latent Semantic & Dialog Systems 2011 | Latent Semantic & Dialog Systems 2012 | LSA (Latent Semantic Analysis) & Dialog Systems | LSI (Latent Semantic Indexing) & Dialog Systems | PLSA (Probabilistic Latent Semantic Analysis) & Dialog Systems | Question Semantic Representation (QSR) | Semantic Dialog Systems | Semantic Grammars & Dialog Systems | Semantic Networks & Dialog Systems | Semantic Reasoners & Dialog Systems | Semantic Role Labeling & Dialog Systems | Semantic Tags & Dialog Systems | Semantic Web Reasoning | TALK (Tools for Ambient Linguistic Knowledge)
- Concept Search
- Distributional Semantics 2019
- Grammatico-Semantic Analysis
- JoBimText
- Lexical Chaining
- Logical Forms & Alignment 2019
- NELL (Never-Ending Language Learning) 2018
- Semantic Fingerprint
- SemanticQA
- USAS (UCREL Semantic Analysis System)
- YAGO-QA
- YAGO2