World Wide Web Journal - Special issue on XML: principles, tools, and techniques
Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Learning to construct knowledge bases from the World Wide Web
Artificial Intelligence - Special issue on Intelligent internet systems
ACM SIGKDD Explorations Newsletter
Machine Learning
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Fundamentals of Database Systems
Fundamentals of Database Systems
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
A Conceptual-Modeling Approach to Extracting Data from the Web
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Recognizing Ontology-Applicable Multiple-Record Web Documents
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Relational learning techniques for natural language information extraction
Relational learning techniques for natural language information extraction
Machine learning for information extraction in informal domains
Machine learning for information extraction in informal domains
Conceptual modeling and ontology extraction for web information
Conceptual modeling and ontology extraction for web information
Clustering techniques utilized in web usage mining
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Managing knowledge on the Web - Extracting ontology from HTML Web
Decision Support Systems
The bootstrapping based recognition of conceptual relationship for text retrieval
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
A semantic role labelling-based framework for learning ontologies from Spanish documents
Expert Systems with Applications: An International Journal
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This paper presents an infrastructure and methodology to extract conceptual structure from Web pages, which are mainly constructed by HTML tags and incomplete text. Human beings can easily read Web pages and grasp an idea about the conceptual structure of underlying data, but cannot handle excessive amounts of data due to lack of patience and time. However, it is extremely difficult for machines to accurately determine the content of Web pages due to lack of understanding of context and semantics. Our work provides a methodology and infrastructure to process Web data and extract the underlying conceptual structure, in particular relationships between ontological concepts using Inductive Logic Programming in order to help with automating the processing of the excessive amount of Web data by capturing its conceptual structures.