A Method for Indexing Biomedical
Resources over the Internet
Guillermo DE LA CALLE
a
, Miguel GARCIA-REMESAL
a
and Victor MAOJO
a
a
Biomedical Informatics Group, Artificial Intelligence Lab., Facultad de Informática,
Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28660 Boadilla del
Monte, Madrid, Spain
Abstract. A large number of biomedical resources are publicly available over the
Internet. This number grows every day. Biomedical researchers face the problem
of locating, identifying and selecting the most appropriate resources according to
their interests. Some resource indexes can be found in the Internet, but they only
provide information and links related to resources created by the owner institution
of each website. In this paper we propose a novel method for extracting
information from the literature and create a Resourceome, i.e. an index of
biomedical resources (databases, tools and services) in a semi-automatic way. In
this approach we consider only the information provided by the abstracts of
relevant papers in the area. Building a comprehensive resource index is the first
step towards the development of new methodologies for the automatic or semi-
automatic construction of complex biomedical workflows which allow combining
several resources to obtain higher-level functionalities.
Keywords. Data Acquisition, Data Capture, Classification, Indexing
Introduction
Over the last years, there has been a proliferation of biomedical resources, including
databases, tools, and services. Many of these resources are publicly available over the
Internet. They provide biomedical researchers with tools to facilitate different tasks,
including, for instance, genetic sequence analysis and alignment, protein annotation or
structural studies. As regards, there is a plethora of biomedical databases covering
different areas including biomedical literature, genetic disorders, macromolecular
structures or rare diseases. In this scenario, there is a need for novel tools to gather and
organize all these resources. In most cases, the resources can be unknown to those
researchers that may benefit from their use. This circumstance emphasizes the need for
developing advanced tools to facilitate the localization and use of such resources.
In order to disseminate and provide a unified access to these resources, it is
required to build an index of existing biomedical resources. Such an index should not
only contain information regarding the location, inputs, outputs and service invocation
procedures, but also a complete semantic description of their functionalities. Currently,
there is not such an index readily available to the biomedical community.
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