Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
Automatically Extracting Ontologically Specified Data from HTML Tables of Unknown Structure
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Tabular abstraction, editing, and formatting
Tabular abstraction, editing, and formatting
Ontology Generation from Tables
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Ontology Extraction from Tables on the Web
SAINT '06 Proceedings of the International Symposium on Applications on Internet
Visually guided bottom-up table detection and segmentation in web documents
Proceedings of the 15th international conference on World Wide Web
Table extraction using spatial reasoning on the CSS2 visual box model
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
The lixto project: exploring new frontiers of web data extraction
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
Notes on contemporary table recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Understanding Semantic Web Applications
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Automatic hidden-web table interpretation, conceptualization, and semantic annotation
Data & Knowledge Engineering
Automated ontology instantiation from tabular web sources-The AllRight system
Web Semantics: Science, Services and Agents on the World Wide Web
ONTOMO: Development of Ontology Building Service
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Link-based hidden attribute discovery for objects on Web
Proceedings of the 14th International Conference on Extending Database Technology
Hi-index | 0.00 |
In this paper, we show how to use ontologies to bootstrap a knowledge acquisition process that extracts product information from tabular data on Web pages. Furthermore, we use logical rules to reason about product specific properties and to derive higher-order knowledge about product features. We will also explain the knowledge acquisition process, covering both ontological and procedural aspects. Finally, we will give an qualitative and quantitative evaluation of our results.