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- 34 creator enrico-motta.
- 34 creator marta-sabou.
- 34 creator mathieu-daquin.
- 34 type InProceedings.
- 34 label "Reusing Knowledge from the Semantic Web with the Watson Plugin".
- 34 sameAs 34.
- 34 abstract "The recent growth of the Semantic Web increases the amount of ontologies that can be reused, but also makes more difficult the tasks of finding, selecting and integrating reusable knowledge for ontology engineering. For this reason, we developed the Watson plugin, a tool which aims to facilitate large scale knowledge reuse by extending an ontology editor with the features of the Watson Semantic Web search engine. With this plugin, it is possible to discover, inspect and reuse ontology statements originating from various online ontologies directly in the ontology engineering environment.".
- 34 hasAuthorList authorList.
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- 34 keyword "Knowledge Reuse".
- 34 keyword "Networked Ontologies".
- 34 keyword "Ontology Editor".
- 34 keyword "Semantic Web Search Engine".
- 34 title "Reusing Knowledge from the Semantic Web with the Watson Plugin".
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- 35 creator iryna-gurevych.
- 35 creator konstantina-garoufi.
- 35 creator torsten-zesch.
- 35 type InProceedings.
- 35 label "Graph-Theoretic Analysis of Collaborative Knowledge Bases in Natural Language Processing".
- 35 sameAs 35.
- 35 abstract "We present a graph-theoretic analysis of the topological structures underlying the collaborative knowledge bases Wikipedia and Wiktionary, which are promising uprising resources in Natural Language Processing. We contrastively compare them to a conventional linguistic knowledge base, and address the issue of how these Social Web knowledge repositories can be best exploited within the Social-Semantic Web.".
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- 35 keyword "NLP".
- 35 keyword "network analysis".
- 35 title "Graph-Theoretic Analysis of Collaborative Knowledge Bases in Natural Language Processing".
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- 36 creator elena-beisswanger.
- 36 creator erik-van-mulligen.
- 36 creator holger-stenzhorn.
- 36 creator laszlo-van-den-hoek.
- 36 creator stefan-schulz.
- 36 creator udo-hahn.
- 36 type InProceedings.
- 36 label "BioTop and ChemTop -- Top-Domain Ontologies for Biology and Chemistry".
- 36 sameAs 36.
- 36 abstract "The recent flood of data and factual knowledge in biology and medicine requires some principled approaches to their proper analysis and management. A cornerstone in this effort constitutes the precise and complete description of the fundamental entities within this domain. But although this fact is generally accepted, often biomedical ontology developments still do not adhere to some of the basic ontology design principles: For example, even very low-level domain terms lack precise and unambiguous (logical) definitions in many cases. Such issues impede the move towards semantic standardization needed for their intended knowledge managment task. Rather it leads to inconsistencies, fragmentation and overlap both within and inbetween different biomedical ontologies. In light of this we introduce BioTop and ChemTop, two top-domain ontologies containing definitions for the most important, foundational entities necesarry to describe the various phenomena in biology and chemistry. These ontologies can subsequently serve as top-level basis for creating new focused domain ontologies in biomedicine or as aid for aligning or improving existing ones.".
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- 36 keyword "Biology".
- 36 keyword "Chemistry".
- 36 keyword "Top-Domain Ontology".
- 36 title "BioTop and ChemTop -- Top-Domain Ontologies for Biology and Chemistry".
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