Building semantic mappings from databases to ontologies

Authors:
Yuan An;John Mylopoulos;Alex Borgida
Affiliations:
Department of Computer Science, University of Toronto, Toronto, ON, Canada;Department of Computer Science, University of Toronto, Toronto, ON, Canada;Department of Computer Science, Rutgers University, Piscataway, NJ
Venue:
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Year:
2006

Citing 12
Cited 7

Data model and query evaluation in global information systems

Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
Logic-based techniques in data integration

Logic-based artificial intelligence
Schema Mapping as Query Discovery

VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Ontology-Based Integration of XML Web Resources

ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases
On deep annotation

WWW '03 Proceedings of the 12th international conference on World Wide Web
Piazza: data management infrastructure for semantic web applications

WWW '03 Proceedings of the 12th international conference on World Wide Web
iMAP: discovering complex semantic matches between database schemas

SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Answering queries using views: A KRDB perspective for the semantic Web

ACM Transactions on Internet Technology (TOIT)
AAAI news

AI Magazine - Special issue on semantic integration
Constructing complex semantic mappings between XML data and ontologies

ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Inferring complex semantic mappings between relational tables and ontologies from simple correspondences

OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II

Linking Geosensor Network Data and Ontologies to Support Transportation Modeling

GeoSensor Networks
Semi-automated schema integration with SASMINT

Knowledge and Information Systems
Ontology and database mapping: a survey of current implementations and future directions

Journal of Web Engineering
Approaches for semantically annotating and discovering scientific observational data

DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Exploiting semantic structure for mapping user-specified form terms to SNOMED CT concepts

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Review: survey of directly mapping sql databases to the semantic web

The Knowledge Engineering Review
Database support for enabling data-discovery queries over semantically-annotated observational data

Transactions on Large-Scale Data- and Knowledge-Centered Systems VI

Quantified Score

Hi-index	0.00

Visualization

Abstract

A recent special issue of AI Magazine (AAAI 2005) was dedicated to the topic of semantic integration -- the problem of sharing data across disparate sources. At the core of the solution lies the discovery the "semantics" of different data sources. Ideally, the semantics of data are captured by a formal ontology of the domain together with a semantic mapping connecting the schema describing the data to the ontology. However, establishing the semantic mapping from a database schema to a formal ontology in terms of formal logic expressions is inherently difficult to automate, so the task was left to humans. In this paper, we report on our study (An, Borgida, & Mylopoulos 2005a; 2005b) of a semi-automatic tool, called MAPONTO, that assists users to discover plausible semantic relationships between a database schema (relational or XML) and an ontology, expressing them as logical formulas/rules.