#data

• Augment — A morphological element (vowel or syllable) prefixed to a verb stem in ancient Indo-European languages like Ancient Greek or Sanskrit to indicate past tense. In computer science, it describes an element added to enhance or expand a dataset.
• To augment — To increase, enlarge, supplement, or intensify the value, size, volume, or number of elements by adding new components or resources. In modern technology, it describes enhancing perceived reality by overlaying digital elements (augmented reality) or extending data system capabilities.
• Augmentation — The act of augmenting and its result; the process of increasing, supplementing, amplifying, or structurally enhancing a system by adding complementary elements or resources. In medicine, it denotes surgical volume enlargement, whereas in technology it refers to data or reality enhancement.
• Augmented — Increased, enlarged, amplified, or enhanced by adding foreign elements or supplementary resources. In computer science, it describes an interface enriched with overlaid digital data, whereas in surgery it indicates a tissue whose volume has been corrected.
• Augmenter — A person, agent, or technical factor that augments, increases, supplements, or optimizes a system, a set of resources, or a data volume. In computer science and artificial intelligence, it can refer to an algorithm or software module specialized in automated data augmentation.
• Typographical error — A hybrid, residual form or blatant typographical error caused by the accidental graphic contamination of the word 'august' or 'augustiu' with parasite letters during digital text entry. In linguistic engineering and database analysis, it is classified as a raw structural anomaly requiring filtering.
• Typographical error — A hybrid, residual form or blatant typographical error caused by the accidental graphic corruption of words such as 'aulă' or 'almă' during digital text entry. In linguistic engineering, it is classified as a raw structural anomaly requiring filtering.
• Typographical error — An accidental lexical structure, most likely resulting from a typographical error, miscombination, or digital truncation of terms such as 'filmare' or 'animare'. In linguistic engineering and text parsing, it is classified as a residue or graphic anomaly requiring correction.
• Aun — A residual term or blatant typographical error caused by the accidental digital truncation of words or through character omission during text entry. In natural language processing, it is treated as a graphic anomaly requiring filtering.
• Auto-calculation — The act of auto-calculating and its result; a computerized process whereby an electronic system automatically determines, adjusts, and displays numerical values or statistical indicators based on preset logical rules.
• Auto-calculated — Computed automatically by an electronic system, algorithm, or software script, without manual user intervention. In digital data processing, it describes a metric, value, or database field whose final results are derived instantly by applying preset mathematical formulas to raw input data.
• Autonomous captor — A technical device or complex sensor capable of automatically detecting, recording, and transmitting a physical, chemical, or biological signal from the environment without requiring an external manual command.
• Automatic copy — A faithful copy or exact duplicate of a document, text, or dataset, produced automatically by a technical device or through the intrinsic chemical properties of the writing medium, without the manual intervention of an external operator. It represents the direct result of a structural self-replication or instantaneous chemical transfer process.
• To self-declare — To affirm, acknowledge, or claim publicly or officially a certain quality, identity, ethnicity, marital status, or asset value on one's own conscience or responsibility, without requiring prior confirmation from a third-party authority. This legal or sociological act represents the baseline pillar in filling out self-declarations or censuses.
• To self-describe — To consciously and autonomously present, depict, or portray one's own physical, moral, professional, or behavioral traits; to self-characterize through written or spoken language. In computer science, it describes the action of a data format, object, or program exposing its own internal structure and metadata through software reflection mechanisms.
• Self-description — The act of self-describing and its result; a detailed presentation, portrayal, or characterization that a person makes of their own physical, moral, psychological, or professional traits. In computer science, it describes the structural property of a data format or software object to contain its own definition metadata, allowing external systems to understand its structure without extra schemas.
• Self-documentation — The act of self-documenting and its result; an individual and autonomous process of gathering materials, data, and bibliographical evidence to clarify a subject, or an advanced function of a computer system to automatically generate its own technical user guides.
• To set oneself up — To self-proclaim, institute, or transform oneself, on one's own account and without official legal or moral justification, into a controlling authority, arbitrator, judge, or defender of a cause before public opinion.
• Self-managed — Managed, conducted, or regulated through one's own efforts, without direct external intervention or a central authority. In a technical and computing sense, the term describes a system, cloud service, or database (self-managed) where the user or an internal algorithm assumes configuration, maintenance, and security tasks, eliminating vendor support.
• Self-referential meta — A meta-tag or structural self-reference element within a metadata set that possesses the capacity to describe, configure, or modify its own logical attributes without the intervention of an external script. In software architecture and object-oriented database management, this conceptual element ensures a higher abstraction level, allowing code to run reflexive processes based on dynamically self-updating information schemas.