Perpetuate in time information on a physical file and its indexing.
Any valuable item in the catalogue from the user’s point of view. Whether it is a document or simple data, any asset is processed, enriched, and enhanced in the DAM-as-a-Brain.
Symbol or set of digital symbols that can be collected, processed, and stored by a computer system (string, datetime, integer, floating, image, audio, video, etc.). Although the computer system can define a schema to structure a set of data (XSD schemas, database schemas, ...), this system has no understanding of the data it processes and stores. Moreover, a data is highly correlated with the way it is stored and the way it is displayed to the end user. Most of today's non-semantic computer systems exclusively manipulate data.
Digital Asset Management System (DAM)
Form of information management technology. DAM solutions can efficiently store, organize, manage, access and distribute an organization’s digital assets.
File created by a software application. While the term "document" originally referred specifically to word processor documents, it is now used to refer to all types of digital files. Therefore, documents may contain text, images, audio, video, and other types of data.
Authorization or restriction applied to a document over time, for a particular audience and for a particular action (e.g., “Authorization to broadcast but not to export”). Not to be confused with user rights, which govern CRUD access.
Action of hanging up all the information necessary for the provision, the exploitation, and the long-term preservation of a document.
Results of data interpretation. In a classical (non-semantic) computer system, this interpretation is carried out by the human brain. The machine displays the term "Emmanuel Macron", then the human end user infers that this is the person who is currently President of the French Republic.
First step in the process of indexing and archiving an asset to make it available on the platform. The import can be done via multiple communication modalities (API, Watchfolder, Upload from the user interface, etc.).
Capacity of a system in which each interface is capable of dialoguing with other interfaces, other existing or future systems, without new implementation. This is a major asset for the sustainability of information over time.
Knowledge base (KB)
Technology used to store complex structured and unstructured information used by a computer system.
Replacement of the “DAM-as-a-Library”. Instead of just dealing with the storage of data, it collects, interprets, and transforms any raw material (Data, Document, Media) into assets available for operational use.
Media Asset Management System (MAM)
Sub-category of DAM solutions. It specializes in dealing with digital objects commonly considered "media", namely audio recordings, photos, and videos.
Data that defines another. A piece of data can have several metadata.
IT development concept for a distributed application that is made up of complementary functionalities coded in the form of independent programs that are potentially heterogeneous and interoperable.
Named Entity Recognition (NER)
Subtask of information extraction that seeks to locate named entities mentioned in unstructured text, then classify them into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
Data schema allowing formal representation of knowledge for its storage, processing and sharing. It is based on the W3C standards of the Semantic Web (RDF, RDFS, OWL, etc.).
A data structure in the form of a rooted tree that classifies and prioritizes terms according to a parent/child relationship. This type of structure is difficult to maintain in large volumes.
A data structure that classifies, prioritizes, and associates terms. These terms can be associated with metadata and synonyms. Seen as an oriented tree, it remains complicated to maintain in the long run.
A computer task that transforms input parameters from a product into an output according to a defined process.
Changing the encoding format of a file. Used to generate proxies based on master files to apply specific processing to them (analysis, consumption, ...).
The user interface portals (API and GUI) of the DAM-as-a-Brain, where users can search, view, edit and share every document and data ingested, processed, enriched, and indexed by Perfect Memory's Raffiné™ platform.
The micro-services software platform of the DAM-as-a-Brain. By reconciling data and content from your various business systems, Raffiné™ enables users to make the implicit information carried by your data more explicit.
Act of processing content to feed its editorial indexing with new information. Enrichment can be automatic, via analysis tools (Visual Analysis, STT Analysis, NER, etc.). In this case, we speak of information revelation. Enrichment can also be manual, in which case it is called moderation.
Extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable.
Speech to text software
Type of software that effectively takes audio content and transcribes it into written words in a word processor or other display destination.
General search mode in Trouvé™. For example, all documents are gathered in the "Documents" universe. The user can change universes at any time. In addition to the predefined universes such as "Documents" and "Entities", specific universes can be added to make it easier for the customer to search through his catalogue.
Authorization or restriction to perform a CRUD operation by a user or a group of users on an object within the knowledge base.
Visual Content Analysis
Process of deriving meaningful file descriptors for image and video data.
Sequence of tasks that processes a set of data.