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| - * The goal is to "tag" (annotate) data and workflows (and their components) using ontology terms |
| + * The goal is to "tag" (annotate) data and workflows (and their components/actors) using ontology terms |
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| - *** ''Workflows and components'': A workflow, a workflow component, or some portion (parameters, ports, substructures of a port type, etc.). |
| + *** ''Workflows and components'': A workflow, a workflow actor, or some portion (parameters, ports, substructures of a port type, etc.). |
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| - *** Can be as simple as an LSID, e.g., that identifies an entire component or dataset |
| + *** Can be as simple as an LSID, e.g., that identifies an actor or dataset |
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| - *** Categorize workflows, components, datasets according to their position in the ontology concept hierarchy. |
| + *** Categorize workflows, actors, datasets according to their position in the ontology concept hierarchy. |
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| - *# Find "compatible" workflow components |
| - *** Given a workflow component (an actor), find components that can be connected to it (either as input or output) based on semantic annotations. If the annotations are "compatible" according to the ontology(ies), the component is returned. |
| + *# Find "compatible" workflow actors |
| + *** Given a workflow actor, find actors that can be connected to it (either as input or output) based on semantic annotations. If the annotations are "compatible" according to the ontology(ies), the actor is returned. |
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| - *** Given a workflow of connected components, check that each connection (input/output) is semantically compatible. |
| + *** Given a workflow of connected actors, check that each connection (input/output) is semantically compatible. |
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| - *# Workflow-component structural integration |
| - *** Given two components that are semantically compatible, determine one or more transformations (either by inserting new components or deriving transformation "code") to make them structurally compatible. |
| - **** In general, component integration is a planning-style search problem (and still research) |
| + *# Workflow actor structural integration |
| + *** Given two actors that are semantically compatible, determine one or more transformations (either by inserting new actors or deriving transformation "code") to make them structurally compatible. |
| + **** In general, actor integration is a planning-style search problem (and still research) |
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| - *# Workflows and Workflow Components (or metadata, etc.) |
| + *# Workflows and Actors (or metadata, etc.) |
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| - *** Annotation propogation (reasearch) |
| - *# Component integration reasoning |
| + *** Annotation propogation (research) |
| + *# Actor integration reasoning |
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| - *** Integrated with the component 'quick search' frame |
| + *** Integrated with the actor 'quick search' frame |
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| - ** There basically aren't any. |
| - ** There also aren't any tools in Kepler for creating, browsing, or editing ontologies. |
| + ** Need more example ontologies. |
| + ** There also aren't tools within Kepler for creating, browsing, or editing ontologies (coupling tools within Kepeler? import OWL files?, etc). |
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| - ** Desperately need an annotation editor/browser |
| - *** Need a reasonable/practical GUI design |
| - *** Need a good way to access/browse a component/dataset and its attributes, such as ports and their input/output types. |
| + ** Annotation interface for Kepler |
| + ** Also, may want: |
| + *** GUI design |
| + *** A uniform way to access/browse a component/dataset and its attributes, such as ports and their input/output types. |
| + *** Perhaps SCIA can help with specifying annotations? |
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| + ** Joined development with Ptolemy group for customizable menus, etc. |
| + ** Use a personal ontology. Swap out default ontologies. |
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| - |
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| - ** Need to understand the integration/merging algorithms |
| - ** Could today write the other types of search algorithms |
| + ** Need to understand the integration/merging algorithms better (working on examples/test cases currently ...) |
| + ** Could today write the other types of search algorithms (compatible actors/datasets) |
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| - |
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| - **** What types of indexing exactly needing should be driven by development/testing, but we may consider an obj. mngr. architecture that can easily support "extensible" indexing strategies (e.g., through listeners, etc.) |
| + **** The types of indexing needed should be driven by development/testing |
| + **** We may consider an obj. mngr. architecture that can easily support "extensible" indexing strategies (e.g., through listeners, etc.) |
