Building and applying a concept hierarchy representation of a user profile
by Nanas et al. The focus on this paper is rather on the building of concept hierarchies and networks describing document repositories than on ontology evalu...
Recent posts
Metrics for Evaluation of Ontology-based Information Extraction
by Maynard et al. This article describes metrics for evaluating ontologies. The article covers the following metrics: precision, recall False positives cost...
A conceptual density-based approach for disambiguation of toponyms
by Buscaldi and RossoThis article explores the use of word-sense-disambiguation (WSD) techniques for toponym resolution. The authors explain two algorithms w...
Enhancing Learning Objects with an Ontology-Based Memory
by Amal Zouaq and Roger Nkambou This paper presents an approach for building Learning Knowledge Objects (LKO) and an ontology learning component for the auto...
Automatising the learning of lexical patterns: An application to the enrichment of WordNet by extracting semantic relationships from Wikipedia
by Maria Ruiz-Casado et al. Ruiz-Casado et al. extend WordNet by extracting hyponym, hyperonym, holonym and meronym relations from the simple english version...
Automatic hidden-web table interpretation, conceptualization, and semantic annotation
by Cui Tao and David W. Embley This paper presents an approach which solves the problem of hidden-web table interpretations for cases in which sibling pages ...
Automatic Fuzzy Ontology Generation for Semantic Web
by Tho et al. This article describes algorithms to automatically generate fuzzy ontologies. The authors identify concept by combining fuzzy logic with FCA (=...
Redundancy-based information extraction
The notion of redundancy-based information extraction utilizes the fact that many information on the Web is redundand, which leads to the consequences that ...
Domain relevance of terminology
based on Navigli, R. and Velardi, P. (2004). ''Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites'', Computational Linguistics, page...
An empirical study of the effects of NLP components on Geographic IR performance
by Stokes et al. This article focuses on the impact of NLP components on the task of toponym resolution (TR) and geographic information retrieval (GIR) &l...
Basic Ontology Data Integration Concepts
Data integration consists of two basic steps: semantic enrichement mapping discovery LAV vs. GAV</p> LAV and GAV describe two approaches for integrat...
Using a POS tagger for lexical knowledge acquisition
based on: Litz, Berenike, Langer, Hagen and Malaka, Rainer (2009). ''Trigrams'n'Tags for Lexical Knowledge Acquisition'', First International Conference on K...
KDIR Panel Discussion
The Information Butler (Andreas Dengel) Learn from best practices Recommends resources (similar to MISTRAL) Context Identification of context ¨(Eye-tra...
KDIR causal knowledge
</p> Automatic identification of quasi-experimental designs for discovering causal knowledge by Jensen et. al</p> Introduction </p> blac...
The Pathologies of Big data
by Jacobs, Adam (2009). The pathologies of big data, Communications of the ACM, ACM, pages 36-44, 52(8) The article demonstrates the importance of a profound...