Species identification lies at the heart of most ecological studies, but it is recognized as a
difficult and often frustrating task. Taxonomists have sought to overcome the difficulties of …

A new dissimilarity measure, based on “position”,“span” and “content” of symbolic objects is
proposed for symbolic clustering. The dissimilarity measure is new in the sense that it is not …

A hierarchical, agglomerative, symbolic clustering methodology based on a similarity
measure that takes into consideration the position, span, and content of symbolic objects is …

As stated in the author's preface, this book can be partitioned into three roughly equal
sections. The first few chapters act as a primer on rule-based expert systems; they include …

The Xper3 platform was launched in November 2013 (Saucède et al. 2020). Xper3 is a free
web platform that manages descriptive data and provides interactive identification keys. It is …

Species inventories are essential to the implementation of conservation policies to mitigate
biodiversity loss and maintain ecosystem services and their value to the society. This is …

This annotated bibliography is provided in order to assess the achievements and gaps in the
literature on vegetative identification of woody plants in the tropics. The bibliography …

The applicability of expert systems (a branch of artificial intelligence) to identification and
classification in systematics is examined. Existing devices used for taxonomic identification …

Taxonomic identification systems based on character-taxon matrices usually perform better
than rulebased systems. Also, matrix data can be used for other purposes, such as …

Identification of experimental material is one of the most fundamental requirements of all
areas of biological science. The discovery and naming of living organisms (any life form …