Ontology learning and population from text - algorithms, evaluation and applications
- P. Cimiano
- Computer Science
- 12 October 2006
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, aswell as knowledge management, information retrieval, text clustering and classification, as well as natural language processing.
Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis
- P. Cimiano, A. Hotho, Steffen Staab
- Computer ScienceJournal of Artificial Intelligence Research
- 1 July 2005
A novel approach to the automatic acquisition of taxonomies or concept hierarchies from a text corpus based on Formal Concept Analysis, which model the context of a certain term as a vector representing syntactic dependencies which are automatically acquired from the text corpus with a linguistic parser.
A Framework for Ontology Learning and Data-driven Change Discovery
- P. Cimiano, J. Völker
- Computer Science
- 15 June 2005
Text2Onto remains independent of a concrete target language while being able to translate the instantiated primitives into any (reasonably expressive) knowledge representation formalism, and allows a user to trace the evolution of the ontology with respect to the changes in the underlying corpus.
Template-based question answering over RDF data
- Christina Unger, Lorenz Bühmann, Jens Lehmann, A. N. Ngomo, D. Gerber, P. Cimiano
- Computer ScienceThe Web Conference
- 16 April 2012
A novel approach that relies on a parse of the question to produce a SPARQL template that directly mirrors the internal structure of theQuestion answering system, which is then instantiated using statistical entity identification and predicate detection.
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
- Thanh Tran, Haofen Wang, S. Rudolph, P. Cimiano
- Computer Science, EconomicsIEEE International Conference on Data Engineering
- 29 March 2009
A novel keyword search paradigm for graph-structured data, focusing in particular on the RDF data model, which first compute queries from the keywords, allowing the user to choose the appropriate query, and finally, process the query using the underlying database engine.
Towards the self-annotating web
- P. Cimiano, S. Handschuh, Steffen Staab
- Computer ScienceThe Web Conference
- 17 May 2004
PANKOW (Pattern-based Annotation through Knowledge on theWeb), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology, is proposed.
Semantic annotation for knowledge management: Requirements and a survey of the state of the art
- V. Uren, P. Cimiano, F. Ciravegna
- Computer ScienceJournal of Web Semantics
- 2006
Linking Lexical Resources and Ontologies on the Semantic Web with Lemon
- John P. McCrae, Dennis Spohr, P. Cimiano
- Computer ScienceExtended Semantic Web Conference
- 29 May 2011
It is shown that the adoption of Semantic Web standards can provide added value for lexicon models by supporting a rich axiomatization of linguistic categories that can be used to constrain the usage of the model and to perform consistency checks.
Learning by googling
- P. Cimiano, Steffen Staab
- Computer ScienceSKDD
- 1 December 2004
A novel methodology that acquires collective knowledge from the World Wide Web using the GoogleTM API is presented, PANKOW, a concrete instantiation of this methodology which is evaluated in two experiments: one with the aim of classifying novel instances with regard to an existing ontology and one withThe aim of learning sub-/superconcept relations.
Ontology Learning from Text: An Overview
- P. Buitelaar, P. Cimiano, B. Magnini
- Computer Science
- 2005
This volume brings together a collection of extended versions of selected papers from two workshops on ontology learning, knowledge acquisition and related topics that were organized in the context…
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