Incomplete Information in Relational Databases
Journal of the ACM (JACM)
Semantics of types for database objects
Theoretical Computer Science
A relational algebra for complex objects based on partial information
MFDBS 91 Proceedings of the 3rd symposium on Mathematical fundamentals of database and knowledge base systems
A semantics for complex objects and approximate answers
Journal of Computer and System Sciences
Answering heterogeneous database queries with degrees of uncertainty
Distributed and Parallel Databases
Logical foundations of object-oriented and frame-based languages
Journal of the ACM (JACM)
Normalizing incomplete databases
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Aspects of partial information in databases
Aspects of partial information in databases
A framework for supporting data integration using the materialized and virtual approaches
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A query language and optimization techniques for unstructured data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
ROL: a deductive object base language
Information Systems
Identifying object isomerism in multidatabase systems
Distributed and Parallel Databases
A query language for a Web-site management system
ACM SIGMOD Record
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Ariadne: a system for constructing mediators for Internet sources
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
On Databases with Incomplete Information
Journal of the ACM (JACM)
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
A Conceptual Model and Rule-Based Query Language for HTML
World Wide Web
IEEE Transactions on Knowledge and Data Engineering
On a Declarative Semantics for Web Queries
DOOD '97 Proceedings of the 5th International Conference on Deductive and Object-Oriented Databases
Resolving Attribute Incompatibility in Database Integration: An Evidential Reasoning Approach
Proceedings of the Tenth International Conference on Data Engineering
ICDT '95 Proceedings of the 5th International Conference on Database Theory
ICDT '97 Proceedings of the 6th International Conference on Database Theory
WebOQL: Restructuring Documents, Databases, and Webs
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
W3QS: A Query System for the World-Wide Web
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Obtaining Complete Answers from Incomplete Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Using Probabilistic Information in Data Integration
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
WebSuite: A Tool Suite for Harnessing Web Data
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
A Declarative Language for Querying and Restructuring the Web
RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
Integration of Semistructured Data with Partial and Inconsistent Information
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Capturing Semantics in HTML Documents
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
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With the recent popularity of the World Wide Web, an enormous amount of heterogeneous information is now available online. As a result, information about the same real-world object often spreads over different data sources, and may be partial and inconsistent. How to obtain information as complete as possible and detect inconsistency from these sources is thus a challenge. Previous work using a simple graph-based or tree-based data model to represent heterogeneous data coming from various sites fail to provide a proper foundation for the integration of data with partial and inconsistent information. In order to integrate such data, we need a powerful data model that is more expressive than the existing graph-based and tree-based ones to account for the existence of partial and inconsistent information from different data sources. In this chapter, we propose a novel data model for such data and study how to integrate such data spread in various sources and check consistency in the meantime. We propose a new operator called integration for this purpose and discuss its semantic properties.