Topic Maps is a Web 3.0 enabling technology: Creating rich semantic models. Browsing and searching faceted information. Integration from various data sources. Ultimate flexibilty. Enjoy!
Social Networks
Most regular public activity happens on mailing lists like TopicMapMail.
Some Topic Mappers publish their activity on Twitter. Try a search for the #topicmaps hash tag or for #tmra – the annual Topic Maps Research and Applications conference.
The Topic Maps Lab creates a list of people involved with Topic Maps.
Mailing lists
There are mailing lists in several languages. A popular one is TopicMapMail (English), mirror here
A German Mailing list is available on http://www.topicmaps.de/
The Twitter account for this web site is @topicmapsorg.
You may want to see this account’s is following and followers to find more people interested in Topic Maps.
Some people also created Twitter lists of active topic mappers. See the one from @larsga for example.
The @tmlab is quite active retweeting interesting articles and project announcements.
Many Topic Mappers are on LinkedIn, you can find some of them in the LinkedIn Topic Maps community group.
There’s a Facebook Group and a Facebook Interest Page. Neither is very active – is Topic Maps just for professionals? (-;
IRC
Some brave souls find their way to IRC regularly. They meet in irc.freenode.net#topicmaps and irc.freenode.net#ontopia . Public Logs (old logs) are available.
More Information
For programmers, many software libraries, called Topic Maps engines are available to use, some of which are part of complete knowledge management solutions.
Students and academics will find the Topic Maps Library useful. It includes many publications, a glossary, information about standards and more.
Many companies offer commercial services and/or consulting around Topic Maps products. The list of sponsors of TMRA is a good place to look for them. The Topic Maps Projects list gives some starting points, too.
The Standards are available through ISO. The latest versions can also be obtained at isotopicmaps.org. The most prominent standard is the Topic Maps Data Model which uses XTM 2 and CTM as serializations.