ESSQL: an enhanced semi-structured query language for composite document retrievals
Proceedings of the 16th annual international conference on Computer documentation
Automatic migration of files into relational databases
Proceedings of the 2nd international workshop on Web information and data management
ACM SIGKDD Explorations Newsletter
Function-based object model towards website adaptation
Proceedings of the 10th international conference on World Wide Web
A Web Odyssey: from Codd to XML
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Structural inference for semistructured data
Proceedings of the tenth international conference on Information and knowledge management
Entity-oriented queries for semistructured data
Information organization and databases
Approximate Graph Schema Extraction for Semi-Structured Data
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Interactive Query Formulation in Semistructured Databases
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Index Structures for Path Expressions
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Capturing and Querying Multiple Aspects of Semistructured Data
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Classification Abstraction: An Intrinsic Element in Database Systems
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Research Issues in Web Data Mining
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
An Approach to Classify Semi-structured Objects
ECOOP '99 Proceedings of the 13th European Conference on Object-Oriented Programming
Representing Web Data as Complex Objects
EC-WEB '00 Proceedings of the First International Conference on Electronic Commerce and Web Technologies
Analysis of Document Structures for Element Type Classification
PODDP '98 Proceedings of the 4th International Workshop on Principles of Digital Document Processing
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
Description logics for semantic query optimization in object-oriented database systems
ACM Transactions on Database Systems (TODS)
A methodology to improve object oriented database systems with fuzzy types
Technologies for constructing intelligent systems
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
ACM Transactions on Information Systems (TOIS)
Mobile refinding of web information using a voice interface: an exploratory study
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Information extraction from structured documents using k-testable tree automaton inference
Data & Knowledge Engineering
Intelligent anticipated exploration of Web sites
AI Communications
Computer Languages, Systems and Structures
An X-ray on web-available XML schemas
ACM SIGMOD Record
Extraction and exploitation of intensional knowledge from heterogeneous information sources: semi-automatic approaches and tools
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
Discovering implicit schemas in JSON data
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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When dealing with semistructured data such as that available on the Web, it becomes important to infer the inherent structure, both for the user (e.g., to facilitate querying) and for the system (e.g., to optimize access). In this paper, we consider the problem of identifying some underlying structure in large collections of semistructured data. Since we expect the data to be fairly irregular, this structure consists of an approximate classification of objects into a hierarchical collection of types. We propose a notion of a type hierarchy for such data, and outline a method for deriving the type hierarchy, and rules for assigning types to data elements.