home > community > projects > bumblemap

close subject identifiers for BumbleMap
  • http://www.topicmapslab.de/projects/bumblemap


Project category: Topic Maps driven web application
Project status: Beta


BumbleMap is a software platform for collaborative knowledge management that the Bumblehood portal is being run on. Under the hood, BumbleMap platform represents knowledge using the topic maps paradigm. A topic map consists of a set of topics capturing concepts from the knowledge domain and maps them to resources referring to information about concepts. Relationships between concepts are expressed by topic associations which are typed combinations of any number of topics. The strict separation of relationships between topics from their occurrences in resources is the principal strength of topic maps paradigm. BumbleMap platform makes the topic maps paradigm transparent to users and enables them to easy apply it to the domain of their choice. BumbleMap also provides powerful and clear tree-based visualization of the topic map with a “smart” context menu adhering to typing of topics, associations and occurrences. We firmly believe that such tree organization significantly improves usability of the platform, and with Bumblehood portal we are determined to prove that it is indeed possible to build a “killer” semantic web application based on such grounds.

Project Leader

Matko Botincan

No contact information available. 


Matko is project leader of BumbleMap. He is author of Bumblehood - a Topic Maps.. .

Project Members

Boro Milivojevic

No contact information available. 


Boro is involved in BumbleMap. He is author of Bumblehood - a Topic Maps.. .

Claudiu Dobre

No contact information available. 


Claudiu is involved in BumbleMap. He is author of Bumblehood - a Topic Maps.. .

Sasa Saric

No contact information available. 


Sasa is involved in BumbleMap. He is author of Bumblehood - a Topic Maps.. .


Follow us on Twitter


As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.

Alexander Sigel
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab