LogosLink User's Manual · LogosLink version 2.0.0

Context

A context is a dataset containing a conceptual representation of the overall situation that you want to address via discourse analysis.

Contexts are expressed in terms of IAT/ML, and consist of a collection of elements plus relationships between them.

Details

A context describes the situation to address through issues, themes, positions and agents.

Types of contexts

Contexts can be:

Independent. That is, you can create and work with a context stored in a file if you want to analyse a single text. Context files have a .llx extension.
Dependent:
- Stand-alone. This is the case of a context for a document in a corpus. These contexts are stored as individual files in the corpus directory. Do not rename or move these files, as the corpus keeps references to them.
- Embedded. This is the case of a context embedded in an ontology, an argumentation model, a question set, an agency model, a corpus or a corpus topic. These argumentation models are stored as part of the model file or corpus database, so there is no risk that they are misplaced.

Working with contexts

You work with contexts depending on their type.

Independent

You can create an independent context by opening the backstage and clicking New, Context.

You can open an existing independent context by opening the backstage and clicking Open.

You can save an independent context by clicking the Save button on the Home ribbon tab, or via the Save and Save As commands in the backstage.

Embedded in an ontology, argumentation model, question set or agency model

You can create a context embedded in another dataset by clicking the Create Context button in the Home ribbon tab of the owner window.

To open an existing embedded context, click the Edit Context button in the Home ribbon tab for the owner window.

Since this context is embedded in its owner dataset, you don't need to save it. It will be saved together when you save the owner dataset. You can close the context and return to the owner dataset by clicking the Return to Owner button on the Home ribbon tab.

Of corpus documents

You can create a context for a corpus document by right-clicking the document and selecting Create Context... in the context menu. Make sure that the corpus is open for read/write.

To open the context embedded in a document, right-click the document and select Edit Context in the context menu.

You can save the context by clicking the Save button on the Home ribbon tab, or via the Save and Save As commands in the backstage.

Embedded in a corpus

You can create a context embedded in a corpus by clicking the Create Context button in the Home ribbon tab of the corpus window.

To open the embedded context in a corpus, click the Edit Context button in the Home ribbon tab for the corpus window.

Since this context is embedded in its owner corpus, you don't need to save it. It will be saved together when you save the owner corpus. You can close the context and return to the owner corpus by clicking the Return to Owner button on the Home ribbon tab.

Embedded in a corpus topic

You can create a context embedded in a corpus topic by right-clicking the topic and clicking Create Context... in the context menu.

To open the embedded context in a topic, right-click the topic and then click Edit Context in the context menu.

Contexts as infrastructure

Contexts are often used as an infrastructure for other kinds of analysis involving ontologies, argumentation models or agency models. Elements from these models can be linked to elements in an embedded context for additional analysis benefits.