HICLAS: An Effective Tool for Interoperability Among Taxonomic Database Systems

生物分类数据管理系统是生物分类数据管理系统，旨在存储和检索有关物种之间的关系和其他分类水平的分类数据。 分类为记录和跟踪生命之树的信息提供了基础;随着关于地球上物种身份的新信息的出现，这些分类得到了修改、调整、改进和替换。 该数据库的万维网接口和主页原型可在http：/aims.cps.msu.edu/hiclas上查阅。 该项目的重点是开发一个软件接口，连接生物分类系统和其他现有的分类学数据库。将建立一套交互式数据库接口工具，用于数据传输、搜索和显示。为了在各种分类学数据库系统之间建立互操作性，目前可用的数据库分为两类。第一类数据库管理具有分类层次的命名数据和包括分类历史的相关分类数据。第二类数据库管理树状图，特别是系统发育树，以及用于分支和表型分析的相关特征分类单元数据集。将采用一种广义树比较方法和一个用户查询系统，将分类树与从不同现有系统收集的树状图进行比较，这些系统包括加州大学伯克利分校的SMASCH（http：//ucjeps.berkeley.edu/smasch）和哈佛大学的Treebase（http：//www.herbaria.harvard.edu/treebase）。

HICLAS is biological classification data management system designed to store and retrieve taxonomic data about the relationships between species and other taxonomic levels. Classifications provide the bases for recording and tracking information of the tree of life; they are modified, tuned, improved and replaced as new information about the identity of species on the planet becomes available. A prototype WWW interface and home page for the database is available at: http:/aims.cps.msu.edu/hiclas. The focus of this project is to develop a software interface between the HICLAS system and other existing taxonomic databases. A set of interactive database interface tools will be built for data transfer, search and display. In order to establish interoperablity among various taxonomic database systems the databases that are currently available are classified into two categories. The first category of databases manages nomenclatural data with taxonomic hierarchy and associated taxon data including taxonomic history. The second category of databases manages dendrograms, especially phylogenetic trees, and related character-taxon data sets for cladistic and phenetic analyses. A generalized tree-comparison method and a user query system will be applied to compare classification trees with dendrograms gathered from different existing systems such as UC Berkeley's SMASCH (http://ucjeps.berkeley.edu/smasch)and Harvard University's TreeBASE (http://www.herbaria.harvard.edu/treebase).