Notes:
Data may be defined as “quantities, characters, or symbols on which operations are performed by a computer”. Big data may be defined as “extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations”.
Wikipedia:
References:
- Cognitive Computing and Big Data Analytics (2015)
- Conversational Informatics: A Data-Intensive Approach with Emphasis on Nonverbal Communication (2014)
- Advances in Knowledge Discovery and Data Mining: Part 1 (2011)
- Advances in Knowledge Discovery and Data Mining: Part 2 (2011)
- Social Network Data Analytics (2011)
See also:
100 Best Artificial Intelligence Data Videos | 100 Best Data Extractor Videos | 100 Best Data Pipeline Videos | 100 Best Data Scraping Videos | Data Analytics & Natural Language Generation | Data Interpretation & Natural Language Generation | Data-to-Text Systems | Linguistic Data Consortium & Dialog Systems | SQuAD (Stanford Question Answering Dataset) | Streaming Data & Dialog Systems
- Data Processing
- Automated Reasoning
- Automated Reasoning & Question Answering 2018
- Automated Theorem Proving (Automated Deduction)
- DECReasoner
- Deep Inference 2019
- FrameNet
- Grammatical Inference Systems
- HermiT Reasoner
- Hontology (Hotel Ontology)
- Inference Engines
- IRIS Reasoner
- Jadex Framework 2020
- JSON & Rule Engines 2019
- Mind Map Generation
- ODP (Ontology Design Patterns)
- OntoBroker 2018
- OntoBuilder
- OntoGrate
- Ontology Verbalization
- OpenRules
- RADAR (Reflective Agents with Distributed Adaptive Reasoning)
- Rule Responders
- Semantic Web Reasoning
- SILK (Semantic Inferencing on Large Knowledge)
- TopBraid Composer 2018
- Automatic Summarization
- Abstractive Summarization 2018
- Automatic Summarization 2018
- DiaSumm (Dialog Summarizer)
- Extractive Summarization
- GISTexter
- Intellexer
- Neural Summarization
- Rhetorical Structure Tree
- ROUGE (Recall-Oriented Understudy for Gisting Evaluation) 2019
- Sentence Summarization
- Summarization Systems
- Text Graphs & Natural Language 2019
- Text Summarization 2019
- TXTRACTOR
- Computational Metaphorics (Draft)
- ACD (Associative Concept Dictionary)
- ATT-Meta Project (Metaphor, Metonymy and Mental States)
- Automatic Metaphor
- Chinese & Metaphor
- CorMet (Metaphor Extraction System)
- IARPA Metaphor Program
- Master Metaphor List
- MetaBank (Metaphor Databank)
- METALUDE (Metaphor at Lingnan University Department of English)
- Metaphor & Cognition
- Metaphor Analysis & Natural Language Processing 2019
- Metaphor Extraction
- Metaphor Generation
- Metaphor Identification & Natural Language 2020
- Metaphor Network
- Metaphor Project
- Metaphor-based Reasoning
- MetaViz (Metaphor Visualization)
- MetNet (Metaphor Network)
- SemEval & Metaphors
- ZMET (Zaltman Metaphor Elicitation Technique) 2019
- Extract Transform Load
- Formal Grammar (Draft)
- Normalization
- Predictive Analytics
- Machine Learning Meta Guide
- Agent Building and Learning Environment (ABLE)
- Alchemy Open Source AI
- BECCA (Brain Emulating Cognitive Control Architecture)
- CALO (Cognitive Agent that Learns and Organizes)
- CLASSiC (Computational Learning in Adaptive Systems for Spoken Conversation)
- Duine Framework (Inactive)
- Language GAN (Generative Adversarial Network)
- Machine Learning as a Service (MLaaS)
- PLOW (Procedure Learning on the Web)
- Selectional Preference Learning
- Stanford Classifier
- Machine Learning Meta Guide
- Semantics
- Text-to-Image Systems (Draft)
- Automated Reasoning
- Data Sources
- Data Storage
- Backend as a Service (BaaS)
- Database as a Service (DBaaS)
- Databases & Ontologies
- Graph-Based Knowledge Representation and Reasoning
- HyperGraphDB
- Knowledge Representation and Reasoning (KR&R)
- Knowledgebase Meta Guide
- NLDB (Natural Language Database) 2019
- Paraphrase Database
- Robitron Databases
- TALK (Tools for Ambient Linguistic Knowledge)
- Data Visualization
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