home > library > publications > semi-automatic ontology extraction to create draft topic ...

close subject identifiers for Semi-automatic ontology extraction to create draft topic maps
  • http://www.topicmapslab.de/publications/semi-automatic_ontology_extraction_to_create_draft_topic_maps

Semi-automatic ontology extraction to create draft topic maps

Paper, was published by Darina Dicheva and Steven Roberson at 2007-03-23

This paper discusses an approach to automatic construction of a "draft" topic map.

External Link: ACM record

Topic maps are a Semantic Web technology that provides a human-oriented mechanism to encode knowledge by organizing web information around topics. Studies have shown, however, that authors face major difficulties in constructing topic maps. This paper discusses an approach to automatic construction of a “draft” topic map for the authors to start with. The idea is to extract topic map constructs by crawling a website and parsing its pages. We propose a set of heuristics that can be used for extracting semantic information from the HTML markup of the web pages. We have used this approach to design and implement a plug-in for the topic map editor TM4L that automatically extracts topics and relationships from a website specified by the author. An evaluation of the proposed approach in terms of Recall and Precision of the extracted data is presented.


Darina Dicheva

No contact information available. 


Darina is involved in TM4L - Topic Maps 4.. .

Steven Roberson

No contact information available. 


Steven is author of Semi-automatic ontology.. .

This publication cites the following publication


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