We offer our illustrations under a Controled Vocabulary of Tags and Categories. But, what is a Controlled Vocabulary, and how is it useful?
Takes the Guess Work out of Searching
A controlled vocabulary makes a database easier to search. Since we have many different ways of describing concepts, drawing all of these terms together under a single word or phrase in a database makes searching the database more efficient as it eliminates guess work. However, arriving at this efficiency requires consistency on the part of the individual indexing the database and the use of pre-determined terms.
A Familiar Concept
It’s likely you are already familiar with the concept of controlled vocabulary. Phonebook Yellow Page listings are arranged using controlled vocabulary. For example, a search for “Car Dealers” leads you to a note to “see Automobile Dealers.” At a basic level, this is how a controlled vocabulary system works.
One Search is All it Takes
Conducting a search in a database that uses controlled vocabulary or indexing terms is efficient and precise. The biggest advantage to controlled vocabulary is that once you do find the correct term, most of the information you need is grouped together in one place, saving you the time of having to search under all of the other synonyms for that term.
Finding a Balance
Free Text often provide more results in a shorter time span because you are searching all the fields of a given database (the Google search engine is a form of free text search). Such searches work well for very specific searches, however, when a topic is broader in scope, you likely will retrieve irrelevant hits. You also may miss some records relevant to your search because you didn’t choose the proper search term. As with a web search, searching a database requires striking a balance between preciseness and generating enough hits to make the search successful.
In many online databases you should keep in mind that there are certain words that are ignored. These are called “Stop Words.” Common stop words are words such as ‘the’, ‘a’, ‘an’, ‘this’, and ‘that’. While stop words may provide some useful content in Natural Language Processing; most keyword based approaches do not use grammars to parse user input, so this content is not used effectively.
Nosotros ofrecemos todo el contenido agrupado en 5 categorías generales que se utilizan a lo largo de todas las colecciones con exepción de ISOTYPE.
- Land Cover & Use: Se utiliza para agrupar los exteriores. Tanto aquellos elementos que representen paisajes, como construcciones.
- Objects: Objetos y artículos construidos por el hombre ofrecidos de manera independiente o agrupado. Ejemplos de uso …………
- People: Representacion de seres humanos realizndo diferentes actividades, desde ludicas, hasta profesionales.
- Nature: Seres vivos agrupados en subcategorías ..