|
Difference between
version 11
and
version 10:
| Line 20 was replaced by line 20 |
| - We intend to use ontology-driven search capabilities to improve search capabilities for both data and actors that have been annotated with terms from formal ontologies. For both actors and data, there are two levels of annotation that we will make use of. The first level is an annotation that addresses the general topic of the data or function of the actor. We can call this the "topical ontology". The second level is another annotation that describes the semantic signature of the data or actor. We can call this the "signature ontology". In the case of data, this describes the semnatic type of each attribute within the data and how the attributes relate to one another. For actors, this describes the semantic type of each input and output port and how the ports relate to one another. In many ways the topical ontology describes what something represents or does, while the signature ontology describes its data requirements. |
| + We intend to use ontology-driven search capabilities to improve discovery capabilities for both data and actors that have been annotated with terms from formal ontologies. For both actors and data, there are two levels of annotation that we will make use of. The first level is an annotation that addresses the general topic of the data or function of the actor. We can call this the "topical ontology annotation". The second level is another annotation that describes the semantic signature of the data or actor. We can call this the "signature ontology annotation". In the case of data, these annotations describe the semnatic type of each attribute within the data and (possibly) how the attributes relate to one another. For actors, this describes the semantic type of each input and output port and (possibly) how the ports relate to one another. The topical ontology annotation is meant to describe generally what something represents or does, while the signature ontology annotation describes the encoding of meaning by the data or actor. In some cases, the signature ontology annotation may be used to "infer" the topical ontology annotation. |
| Line 23 was replaced by line 23 |
| - We envision several mechanisms for discovering relevant data and actors via their semantic annotations. First, in the left-hand list of data and actors, we envision users being able to search for terms from an ontology and have all related results display in the list of results. For example, one might search for data about "biodiveristy" and see a data set that contains abundance of reptile species at a site. Or one might search for "SpeciesDistributionModels" and see the GARP model. In this scenario, we need to decide how the user chooses terms from the ontology for searching. Currently, we simply allow them to type in a text string which is then compared to the ontology terms, and if there is a match, those ontology terms are used in the search. We may want the ability to be more precise. |
| + We envision several mechanisms for discovering relevant data and actors via their semantic annotations. First, in the left-hand list of data and actors, we envision users being able to search for terms from an ontology and have all related results display in the list of results. For example, one might search for data about "biodiveristy" and see a data set that contains abundance of reptile species at a site. Or one might search for "SpeciesDistributionModels" and see the GARP model. In this scenario, we need to decide how the user chooses terms from the ontology for searching. Currently, we simply allow them to type in a text string which is then compared to the ontology terms, and if there is a match, those ontology terms are used in the search. We may want the ability to be more precise, possibly through an intermediate and interactive step that converts the text expression into an ontology concept expression). |
Back to Semantics In Kepler,
or to the Page History.
|
