http://www.nlm.nih.gov/factsheets.dir/ISM.html (Einblicke ins Internet, 10/1995)
UMLS® Information Sources Map (ISM)
Background
Information Sources Map Design Goals
The Information Sources Map (ISM) is a knowledge source which makes
use of the UMLS Metathesaurus and UMLS Semantic Network to support the
following functions:
- ) Determine which information sources are most likely to be
relevant to a particular inquiry.
- ) Supply human-readable information to users about the scope,
probable utility, and access conditions of particular sources.
- ) Automatically connect to relevant information sources.
- ) Automatically conduct a successful retrieval session
on one or more sources.
The current version of the ISM file contains records for 13
information providers and 63 distinct information sources.
The information sources include 44 provided by the NLM and 19 provided by
non-NLM sources.
The information sources are varied and include not
only major bibliographic databases covering biomedical research,
clinical practice, and bioethics, but also: diagnostic expert systems
such as AI/RHEUM (NLM), DxPlain (Massachusetts General Hospital,
Iliad (University of Utah), and Quick Medical Reference (QMR,
CAMDAT Corporation); and factual databases concerned with genetics,
protein and nucleic acid sequences, drugs, toxicology, and
environmental health.
Elements of the Information Sources Map Record
Records in the current ISM address the first two of the functions listed above:
determination of relevance (source selection)
and descriptive data about the sources.
Four elements are used to index the conceptual scope of information sources:
- Medical Subject Headings (MeSH) terms from the UMLS Metathesaurus
- MeSH Subheadings which denote the contexts in which the main MeSH headings are applicable
- Semantic Types from the UMLS Semantic Network
- Semantic Type Relations,
which link together two semantic types with a Relation
defined within the Semantic Network.
The application of indexing terms to information sources is similar to
the indexing of the biomedical literature, however in contrast to the
indexing of articles, where index terms such as MeSH terms are applied
at the most specific level possible, the index terms applied to an
entire database or other information resource are chosen at the level
of highest generality which is applicable across the entire resource.
The most novel of the indexing elements in the Information Sources Map
is the attempt to portray the conceptual scope of an information
resource by the use of UMLS Semantic Type Relations.
A Semantic Type Relation can be thought of as two nouns (Semantic Types)
connected by a verb (Relation),
where the Types and Relations are drawn from valid
values defined in the Semantic Network.
For example,
the type relation:
Hazardous or Poisonous Substance|causes|Pathologic Function
is used to describe the content of a toxicology database.
This approach should expedite the development of software tools which allow
the use of natural language queries to discover relevant sources.
Those portions of the Information Sources Map concerned with
automatically connecting to and retrieving information from a given
source (the procedural components) remain under development.
Standards and methods for network-distributed information selection
and retrieval are evolving rapidly, and the NLM intends to base
further developments of the ISM on carefully-selected communications
and software standards which appear both technically sound and likely
to become widely available.
Some of the systems which have been
evaluated in this respect include
WAIS,
Project Gopher (University of Minnesota),
World-Wide Web (CERN, Geneva),
Hytelnet,
Knowbot technology,
and various Internet-based library retrieval systems.
Certain of the emerging
communications standards underlying a number of these systems, in
particular
ANSI Z39.50
and ISO/OSI ASN.1, are likely to appear as part
of the procedural aspects of the ISM; it is also likely that the ISM
will be able to interact with several of the previously mentioned
network information retrieval systems.
For maximum utility, the ISM must be able to be used by all
information collectors and vendors to describe their biomedical
information resources.
The ISM aims to create a distributed
maintenance environment in which each information provider builds and
maintains the ISM components which depict and support connection to
its resources;
software tools with graphical user interfaces are under
development to aid ISM participants in preparing entries for the ISM database.
After initial development and testing are complete, wide
participation in the creation of a shared biomedical Information
Sources Map will be sought.
Distribution Format
The current version of the Information Sources Map is available in IBM
PC-compatible file format as part of the 1992 edition of the UMLS
Knowledge Sources CD-ROM, which is an ISO 9660 disc.
ISM-related files include the Information Sources Map,
a file describing ISM field definitions and formats,
and a file containing valid values for ISM
fields which require a controlled vocabulary.
The ISM data files are represented as ASCII relational tables, in a
format analogous to the UMLS Metathesaurus and Semantic Network files.
Application Procedures
Those who wish to obtain copies of UMLS products are required to sign
a one-year experimental agreement with the NLM.
To obtain a packet with sample records,
documentation, and copies of the experimental agreement,
send a written request to:
Betsy L. Humphreys
UMLS Project Officer
National Library of Medicine
8600 Rockville Pike
Bethesda, MD 20894
Other personnel associated with the ISM Project:
Other fact sheets in the UMLS series:
- Unified Medical Language System
- UMLS Metathesaurus
- UMLS Semantic Network
- Coach Metathesaurus Browser
Printed copies of this document are available from:
Office of Public Information
National Library of Medicine
8600 Rockville Pike
Bethesda, Maryland 20894
NLM HyperDOC / Information Sources Map FactSheet / April 1994