Where do interactions come from in an organizing system?
Interactions arise naturally from the affordances of resources or are purposefully designed into organizing systems.
See §9.1, “Introduction”.
What are the most common interactions with resources in organizing systems?
Accessing and merging resources are fundamental interactions that occur in almost every organizing system.
What factors distinguish interactions?
User requirements, which layer of resource properties is used, and the legal, social and organizational environment can distinguish interactions.
What activities, with respect to resources, are typically required to enable interactions?
In order to enable interactions, it is necessary to identify, describe, and sometimes transform the resources in an organizing system.
See §9.3.1, “Identifying and Describing Resources for Interactions”
What is a crosswalk?
Similar to mapping, a straightforward approach to transformation is the use of crosswalks, which are equivalence tables that relate resource description elements, semantics, and writing systems from one organizing system to those of another.
How can we distinguish or classify transformations in organizing systems?
Merging transformations can be distinguished by type (mapping or crosswalk), time (design time or run time) and mode (manual or automatic).
What factors distinguish implementations of resource-based interactions?
Implementations can be distinguished by the source of the algorithm (information retrieval, machine learning, natural language processing), by their complexity (number of actions needed), by whether resources are changed, or by the resource description layers they are based on.
What evaluation criteria distinguish interactions?
Important aspects for the evaluation of interactions are efficiency (timeliness and cost-effectiveness), effectiveness (accuracy and relevance) and satisfaction (positive attitude of the user).
What is relevance?
The concept of relevance and its relationship to effectiveness is pivotal in information retrieval and machine learning interactions.
What is the recall and precision trade-off?
The trade-off between recall and precision decides whether a search finds all relevant documents (high recall) or only relevant documents (high precision).
How does granularity of organization affect recall and precision?
The extent of the organization principles also impacts recall and precision: more fine-grained organization allows for more precise interactions.
Interactions arise naturally from the affordances of resources or are purposefully designed into organizing systems.
See §9.1, “Introduction”.
Accessing and merging resources are fundamental interactions that occur in almost every organizing system.
User requirements, which layer of resource properties is used, and the legal, social and organizational environment can distinguish interactions.
In order to enable interactions, it is necessary to identify, describe, and sometimes transform the resources in an organizing system.
See §9.3.1, “Identifying and Describing Resources for Interactions”
Similar to mapping, a straightforward approach to transformation is the use of crosswalks, which are equivalence tables that relate resource description elements, semantics, and writing systems from one organizing system to those of another.
Merging transformations can be distinguished by type (mapping or crosswalk), time (design time or run time) and mode (manual or automatic).
Implementations can be distinguished by the source of the algorithm (information retrieval, machine learning, natural language processing), by their complexity (number of actions needed), by whether resources are changed, or by the resource description layers they are based on.
Important aspects for the evaluation of interactions are efficiency (timeliness and cost-effectiveness), effectiveness (accuracy and relevance) and satisfaction (positive attitude of the user).
The concept of relevance and its relationship to effectiveness is pivotal in information retrieval and machine learning interactions.
The trade-off between recall and precision decides whether a search finds all relevant documents (high recall) or only relevant documents (high precision).
The extent of the organization principles also impacts recall and precision: more fine-grained organization allows for more precise interactions.