Provides a terminology service, wrapping the SNOMED store and search implementations as a single unified service.
Provides a terminology service, wrapping the SNOMED store and search implementations as a single unified service.
Provides a graph API around SNOMED CT structures.
Provides a graph API around SNOMED CT structures.
Implementation of the SNOMED CT expression constraint language. See http://snomed.org/ecl
Implementation of the SNOMED CT expression constraint language. See http://snomed.org/ecl
SNOMED language and localisation support. There are four ways to consider locale in SNOMED CT.
Options 1-3 are defined by SNOMED. Option 4 provides a wrapper so that standards-based locale priority strings can be used effectively.
Arguably, there are two separate issues. For clients, they want to be able to choose their locale and this should use IETF BCP 47. For any single service installation, there will need to be a choice in how a specific locale choice is met.
SNOMED language and localisation support. There are four ways to consider locale in SNOMED CT. 1. A crude language label (e.g. "en" in each description. This should generally not be used. 2. Requesting using one or more specific language reference sets. This provides the most control for clients but the burden of work falls on clients to decide which reference sets to use at each request. 3. Request by a dialect alias. This simply maps aliases to specific language reference sets. 4. Request by IETF BCP 47 locale. Options 1-3 are defined by SNOMED. Option 4 provides a wrapper so that standards-based locale priority strings can be used effectively. Arguably, there are two separate issues. For clients, they want to be able to choose their locale and this should use IETF BCP 47. For any single service installation, there will need to be a choice in how a specific locale choice is met.
A backing key value store implemented using LMDB.
LMDB has very fast read access, which makes it highly suitable as hermes operates principally in read-only mode. We use netty's direct buffers, and a shared pool because of allocation overhead compared to on-heap buffers.
We use the key value store in one of two ways. The first is to store entities. These are usually keyed by the identifier, except for descriptions, which are keyed by a tuple of concept identifier and description identifier. That optimises the common fetch of all descriptions for a given concept. The second is to store null values as part of an index, with compound keys. This means we can rapidly iterate across a range of keys, which are always sorted, and stored big-endian. The compound key structures are defined below.
It would be possible to create a generic key-value protocol, but this instead contains domain-optimised code.
A backing key value store implemented using LMDB. LMDB has very fast read access, which makes it highly suitable as hermes operates principally in read-only mode. We use netty's direct buffers, and a shared pool because of allocation overhead compared to on-heap buffers. We use the key value store in one of two ways. The first is to store entities. These are usually keyed by the identifier, except for descriptions, which are keyed by a tuple of concept identifier and description identifier. That optimises the common fetch of all descriptions for a given concept. The second is to store null values as part of an index, with compound keys. This means we can rapidly iterate across a range of keys, which are always sorted, and stored big-endian. The compound key structures are defined below. It would be possible to create a generic key-value protocol, but this instead contains domain-optimised code.
Members creates a Lucene search index for reference set members.
Members creates a Lucene search index for reference set members.
Support for SNOMED CT compositional grammar. See http://snomed.org/scg
Support for SNOMED CT compositional grammar. See http://snomed.org/scg
Search creates a Lucene search index for descriptions.
Search creates a Lucene search index for descriptions.
Optimised hand-crafted serialization of SNOMED entities.
Optimised hand-crafted serialization of SNOMED entities.
Store provides access to a key value store.
Store provides access to a key value store.
Provides import functionality for processing directories of files
Provides import functionality for processing directories of files
Specifications for the RF2 SNOMED format. See https://confluence.ihtsdotools.org/display/DOCRELFMT
Specifications for the RF2 SNOMED format. See https://confluence.ihtsdotools.org/display/DOCRELFMT
Package snomed defines the specification for SNOMED-CT releases in the RF2 format.
See the release file specifications
These are, in large part, raw representations of the release files with some small additions, predominantly relating to valid enumerations, to aid computability.
These structures are designed to cope with importing any SNOMED-CT distribution, including full distributions, a snapshot or a delta.
Package snomed defines the specification for SNOMED-CT releases in the RF2 format. See the [release file specifications](https://confluence.ihtsdotools.org/display/DOCRELFMT/SNOMED+CT+Release+File+Specifications) These are, in large part, raw representations of the release files with some small additions, predominantly relating to valid enumerations, to aid computability. These structures are designed to cope with importing any SNOMED-CT distribution, including full distributions, a snapshot or a delta. * Full The files representing each type of component contain every version of every component ever released. * Snapshot The files representing each type of component contain one version of every component released up to the time of the snapshot. The version of each component contained in a snapshot is the most recent version of that component at the time of the snapshot. * Delta The files representing each type of component contain only component versions created since the previous release. Each component version in a delta release represents either a new component or a change to an existing component.
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