Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites
Computational Linguistics
Open information extraction from the web
Communications of the ACM - Surviving the data deluge
Automatically Harvesting and Ontologizing Semantic Relations
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Topic identification using Wikipedia graph centrality
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Centrality measures in text mining: prediction of noun phrases that appear in abstracts
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Evaluating the Generation of Domain Ontologies in the Knowledge Puzzle Project
IEEE Transactions on Knowledge and Data Engineering
Identifying interesting assertions from the web
Proceedings of the 18th ACM conference on Information and knowledge management
Can Educators Develop Ontologies Using Ontology Extraction Tools: An End-User Study
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ontology Learning and Population: Bridging the Gap between Text and Knowledge - Volume 167 Frontiers in Artificial Intelligence and Applications
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Semantic network analysis of ontologies
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Ranking ontologies with AKTiveRank
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Towards open ontology learning and filtering
Information Systems
Expert Systems with Applications: An International Journal
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Given the new challenges of open and unsupervised information extraction, there is a need to identify important and relevant knowledge structures (concepts and relationships) in the vast amount of extracted data and to filter the noise that results from unsupervised information extraction. This is generally referred to as the ontologization task. This paper uses measures from graph theory to identify these key elements such as Page Rank, Betweenness, and Degree. We also propose a combination of metrics for ranking concepts and relationships. Our approach shows effective results in terms of precision compared to other standard measures for weighting concepts and relationships such as TF*IDF or frequency of co-occurrences.