| Lines 110-127 were replaced by lines 110-127 |
| - ** Working exercise: data integration approaches |
| - *** Case study requirements for integration |
| - *** Simple "smart" concatenation |
| - *** Extending to more complex (and realistic) examples |
| - *** Adequacy of annotations and ontologies for integration |
| - ** Data Management support for sms |
| - *** The EML actor as entry point for data integration |
| - *** How do we deal with multiple output formats from EML? |
| - *** How do we deal with null values? |
| - *** How do we carry out integration specifications given by sms? |
| - **** For example, using "R" to load instance data from multiple voluminous data sets (e.g., 3 100MB data files) and executing data integration "recipes" |
| - **** A database-style approach? (e.g., SQL) |
| - ** What approach do we use for representing data conversions? |
| - *** Examples: unit conversions, count/area = density, rescaling/projection |
| - *** Represent conversions within ontology? |
| - *** Represent conversions as actors (searched via annotations, e.g.) |
| - *** Define a new or leverage an existing representation for conversions (Prolog, SWRL, XML syntax a la STMML, MoML attributes) |
| - *** Use potpourri approach (i.e., try to accomodate multiple mechanisms) |
| + *** Working exercise: data integration approaches |
| + **** Case study requirements for integration |
| + **** Simple "smart" concatenation |
| + **** Extending to more complex (and realistic) examples |
| + **** Adequacy of annotations and ontologies for integration |
| + *** Data Management support for sms |
| + **** The EML actor as entry point for data integration |
| + **** How do we deal with multiple output formats from EML? |
| + **** How do we deal with null values? |
| + **** How do we carry out integration specifications given by sms? |
| + ***** For example, using "R" to load instance data from multiple voluminous data sets (e.g., 3 100MB data files) and executing data integration "recipes" |
| + ***** A database-style approach? (e.g., SQL) |
| + *** What approach do we use for representing data conversions? |
| + **** Examples: unit conversions, count/area = density, rescaling/projection |
| + **** Represent conversions within ontology? |
| + **** Represent conversions as actors (searched via annotations, e.g.) |
| + **** Define a new or leverage an existing representation for conversions (Prolog, SWRL, XML syntax a la STMML, MoML attributes) |
| + **** Use potpourri approach (i.e., try to accomodate multiple mechanisms) |
