A Uniform Internet-Communicative Agent
Electronic Commerce Research - Special issue on agents in electronic commerce
A semi-universal e-commerce agent: domain-dependant information gathering
Enterprise information systems IV
Web Semantics: Science, Services and Agents on the World Wide Web
Automatic hidden-web table interpretation, conceptualization, and semantic annotation
Data & Knowledge Engineering
Table extraction using spatial reasoning on the CSS2 visual box model
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
FOCIH: Form-Based Ontology Creation and Information Harvesting
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Seed-based generation of personalized bio-ontologies for information extraction
ER'07 Proceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications
Automatic transformation of multi-dimensional web tables into data cubes
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
QuerioCity: a linked data platform for urban information management
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
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Turning the current Web into a Semantic Web requires automatic approaches for document annotation, since manual approaches will not scale in general. The focus of the thesis is on automatic transformation of arbitrary table-like structures into knowledge models, i.e., ontologies. The presented work is based on Hurst's table model and consists of a methodology, an accompanying implementation named TARTAR, and a thorough evaluation. The evaluation showed over 80% success rate of automatic transformation of tables into semantic representations and 100% accuracy in the task of query answering over the table contents.