What Is Topic Map Query Language (TMQL)?

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Topic Map Query Language is constantly changing. It's like a chronic case of the sniffles—one day it's barely there, and the next, it's all over the place and that's why Topic Map Query Language has to be able to go in and get data from these maps effectively. Topic Map Query Language uses two specific processes – one is information retrieval, and the other is information filtering. Through these combined approaches, Topic Map Query Language allows for data mining and related processes that apply to the topic map, where conventional SQL is used in the relational database. Topic Map Query Language (TMQL) is a specific XML-based language protocol based on the popularity of structured query language (SQL). SQL was developed for a relational database to allow total database searches by users. Topic Map Query Language was made for topic maps, which are much more dynamic and have specific data structures. Topic maps are data structures that allow users to navigate through a web of topics and subtopics. They can be created in many ways but typically use XML or JSON code to create them. This can be done manually or with the help of an automated tool like Topic Maps Navigator (TMSN). TMSN helps users create topic maps by giving them access to templates and prebuilt content they can include in their map. The TMQL protocol uses XML language tags to connect topics in a hierarchical structure so that users can easily search through them. Users will often start with a general issue and then narrow down their search using more specific keywords as they go along. For example, if they're looking for computer information, they might start by searching for "Computer". If that doesn't yield any results, they could try searching for "Computer Science".

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