Notes:
Proposed processing for the Meta Guide chatbot examines “extract, transform, and load” (ETL) and “business intelligence” (BI) tools, as well as “natural language processing” (NLP) tools, such as normalizers and summarizers. Cloud solutions for “machine learning as a service” (MLaaS) and predictive analytics are also examined. While “extensible stylesheet language transformations” (XSLT) is an important and necessary technology for transforming data from one standard to another.
- Automated reasoning is a subfield of artificial intelligence (AI) that deals with the development of algorithms and systems that are capable of automatically making logical deductions and conclusions based on a set of given premises or data. Automated reasoning systems are often used in applications such as theorem proving, decision support, and natural language processing.
- Automatic summarization is a natural language processing (NLP) task that involves the creation of a shortened version of a text document or other piece of written content that conveys the main points and ideas of the original text in a condensed form. Automatic summarization systems use a variety of techniques, such as natural language processing and machine learning, to analyze the content of the original text and generate a summary that captures the key points and ideas.
- Computational metaphorics is a subfield of artificial intelligence (AI) and natural language processing (NLP) that deals with the study and development of algorithms and systems that are capable of understanding and interpreting metaphors and other figurative language. Computational metaphorics aims to enable computers to understand and use metaphors in a way that is similar to how humans do.
- Extract Transform Load (ETL) is a process used in data warehousing and other applications to extract data from various sources, transform the data into a format that is suitable for analysis or other purposes, and load the transformed data into a target system or database. ETL processes are often used to integrate data from multiple sources and systems, and to prepare data for analysis or reporting.
- Formal grammar is a set of rules or principles that describe the structure and form of a language or other system. In the context of artificial intelligence (AI) and natural language processing (NLP), a formal grammar may be used to describe the structure of a particular language or to define the rules for generating or parsing sentences or other linguistic constructs in that language. A formal grammar may be in the form of a written document or a set of algorithms or code.
- Normalization is a process used in database design and other applications to organize data in a way that minimizes redundancy and dependency, and that makes it easier to maintain and update the data over time. Normalization involves the creation of a set of tables that represent the data in the database, with each table representing a specific entity or aspect of the data. Normalization typically involves the use of techniques such as decomposition, which involves breaking down a table into smaller, more specialized tables, and the use of keys and foreign keys to establish relationships between different tables.
- Predictive analytics is a branch of artificial intelligence (AI) and data analysis that involves the use of statistical and machine learning techniques to analyze historical data and make predictions about future events or trends. Predictive analytics is often used in a variety of applications, including marketing, finance, healthcare, and manufacturing, to make data-driven decisions and to identify patterns and trends that may not be apparent from analyzing current data alone.
- Semantics is the branch of linguistics that deals with the meaning of words and phrases, and with the relationships between words and the concepts they represent. In the context of artificial intelligence (AI) and natural language processing (NLP), semantics is concerned with the development of algorithms and systems that are capable of understanding and interpreting the meanings of words and phrases in natural language, and of using that understanding to perform tasks such as language translation and information retrieval.