Object-oriented systems analysis: a model-driven approach
Object-oriented systems analysis: a model-driven approach
Conceptual-model-based data extraction from multiple-record Web pages
Data & Knowledge Engineering
Object Database Development: Concepts and Principles
Object Database Development: Concepts and Principles
OntoBuilder: Fully Automatic Extraction and Consolidation of Ontologies from Web Sources
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
WWW '05 Proceedings of the 14th international conference on World Wide Web
Towards Ontology Generation from Tables
World Wide Web
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Ontology Matching
Transforming arbitrary tables into logical form with TARTAR
Data & Knowledge Engineering
Conceptual xml for systems analysis
Conceptual xml for systems analysis
Bootstrapping pay-as-you-go data integration systems
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Toward best-effort information extraction
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Beyond keywords: Automated question answering on the web
Communications of the ACM - Enterprise information integration: and other tools for merging data
Translating SQL Applications to the Semantic Web
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
A Conceptual-Model-Based Computational Alembic for a Web of Knowledge
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Semantically Conceptualizing and Annotating Tables
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Database and information-retrieval methods for knowledge discovery
Communications of the ACM - A Direct Path to Dependable Software
Probabilistic databases: diamonds in the dirt
Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
ODE: Ontology-assisted data extraction
ACM Transactions on Database Systems (TODS)
Automatic hidden-web table interpretation, conceptualization, and semantic annotation
Data & Knowledge Engineering
Large-Scale Deduplication with Constraints Using Dedupalog
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Towards Linguistically Grounded Ontologies
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
FOCIH: Form-Based Ontology Creation and Information Harvesting
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
On the decidability and complexity of integrating ontologies and rules
Web Semantics: Science, Services and Agents on the World Wide Web
KBB: a knowledge-bundle builder for research studies
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
A web of knowledge: a conceptual-modeling perspective
The evolution of conceptual modeling
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The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in web pages? Instead of a web of human-readable pages containing machine-inaccessible facts, can the web be a web of machine-accessible facts superimposed over a web of human-readable pages? Ultimately, can the web be a web of knowledge that can provide direct answers to factual questions and support these answers by referencing and highlighting relevant base facts embedded in source pages? Answers to these questions call for distilling knowledge from the web's wealth of heterogeneous digital data into a web of knowledge. But how? Or, even more fundamentally, what, precisely, is this web of knowledge, and what is required to enable it? To answer these questions, we proffer a theoretical foundation for a web of knowledge: We formally define a computational view of knowledge in a way that enables practical construction and use of a web of knowledge.