You know your content, and you want your users to search and navigate your information efficiently, according to what you have established as relevant. You want to provide your users an easy-to-use, quick and efficient access to your content, as well as your topics and related topics.
You want to be in control of what is returned by search queries, and therefore are not satisfied with using standard search technologies, which provide either too many hits or don't return the content that you know is relevant.
You don't have enough time or staff to individually organize every aspect of your content, which is constantly being updated over time.
We provide a unique bottom-up topic map approach which lets you extract from your existing content what you need, without having to modify or edit your content. You don't need to build a taxonomy of terms because your topics are already there and we can locate them in accordance with your needs.
Your content experts work with us to add specific knowledge to the extraction process, so that the results reflect what you expect your users to find.
Even if your content exists in multiple forms, with various document formats and structures, we'll set up the application so that it can build the topic map you need.
This approach is optimized to work in the following contexts:
We publish materials in multiple languages, that can be interconnected to equivalent versions in other languages at various levels, Depending whether you need a cross-language navigation, or a set of documents in each language.
We are integrating large corpora of documents, and providing navigation tools that allow users to navigate across the entire corpus. If you have information that is spread out in separate entities, and it makes sense to put it all together, then you might be interested by our offerings.
We provide a detailed account of the operations taking place during the editorial process, so that every step can be traced back, and modified if necessary. The level of detail and the nature of the auditing can be customized for each application.
Publishers know where the value is in the information they provide and may want to be in control of how users search their information.
We provide a customizable environment for search. This environment is a "knowledge base" in which our customers provide information about equivalent forms for topic names, relations that they consider relevant. This configuration is applied to the incoming information, and the resulted pages incorporate these data to facilitate user experience and guarantee that the relevant information will be found.
Using the book metaphor, we produce:
We create automatically one page per topic that gives access to the relevant occurrences of the topic, the related topics of interest, and the variant names for the topic, if any.
Each topic page lets you directly go the related topics. If the relations are qualified, the related topics will be sorted and presented accordingly.
Once you reached an occurrence of a topic, you can navigate directly to the next (or previous occurrence) of the same topic. Alternatively, you can go back to the topic screen to see a detailed view of everything available about the given topic.
Documents can be grouped into a collection, that can be navigated via an integrated approach that will let you access all individual documents as components in a bigger ensemble.
The documents assembled can have different structures.