NFQL: the natural forms query language
ACM Transactions on Database Systems (TODS)
Object-oriented systems analysis: a model-driven approach
Object-oriented systems analysis: a model-driven approach
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Reverse engineering of relational databases: extraction of an EER model from a relational database
Data & Knowledge Engineering
Conceptual schema and relational database design (2nd ed.)
Conceptual schema and relational database design (2nd ed.)
Conceptual-model-based data extraction from multiple-record Web pages
Data & Knowledge Engineering
The description logic handbook
Towards Ontology Generation from Tables
World Wide Web
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Extracting generalization hierarchies from relational databases: A reverse engineering approach
Data & Knowledge Engineering
Conceptual xml for systems analysis
Conceptual xml for systems analysis
Ontology aware software service agents: meeting ordinary user needs on the semantic web
Ontology aware software service agents: meeting ordinary user needs on the semantic web
Ontology generation, information harvesting and semantic annotation for machine-generated web pages
Ontology generation, information harvesting and semantic annotation for machine-generated web pages
Towards automated reasoning on ORM schemes mapping ORM into the DLRidf description logic
ER'07 Proceedings of the 26th international conference on Conceptual modeling
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Theoretical foundations for enabling a web of knowledge
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
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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? Equivalently, can we turn the web into a web of facts (instead of a web of pages containing facts)? Ultimately, can the web be a knowledgebase--a web of knowledge--that can provide direct answers to factual questions and also provide the confidence necessary to make those answers believable? We answer these questions by showing how to superimpose a web of data over the web of pages, resulting in a web of knowledge. Our research group at Brigham Young University has been working on this challenge for more than a decade. Our solution, which is based on conceptual modeling, calls for turning raw symbols contained in web pages into knowledge and making this knowledge accessible via the web. The particulars of our solution show ways to overcome three impeding challenges: (1) automatic (or near automatic) creation of ontologies, (2) automatic (or near automatic) annotation of web pages with respect to these ontologies, and (3) simple but accurate query specification, usable without specialized training. Meeting these basic challenges can simplify knowledge-web content creation and access to the point that the vision of a web of knowledge can become a reality. Throughout, we show that conceptual modeling plays a key role in actualizing these ideas.