2007
D2.3.8v2 Report and Prototype of Dynamics in the Ontology Lifecycle
NOVÁČEK, VítZákladní údaje
Originální název
D2.3.8v2 Report and Prototype of Dynamics in the Ontology Lifecycle
Název česky
preloz si sam ;)
Autoři
Vydání
Innsbruck, Austria, 85 s. Knowledge Web EU NoE deliverable D2.3.8v2, 2007
Nakladatel
Knowledge Web EU NoE
Další údaje
Jazyk
angličtina
Typ výsledku
Výzkumná zpráva
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Organizační jednotka
Fakulta informatiky
Klíčová slova anglicky
ontology; ontology dynamics; ontology lifecycle; ontology integration; inconsistency resolution; change operator implementation
Štítky
Příznaky
Mezinárodní význam
Změněno: 26. 4. 2011 21:03, doc. Mgr. Bc. Vít Nováček, PhD
V originále
Deliverable D2.3.8v2 (WP2.3) presents a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of many practical application domains into account. This technique fully implements a crucial part of the dynamic ontology lifecycle scenario defined in D2.3.8v1. In particular, we tackle semi-automatic integration of ontology learning results into a manually developed ontology. This integration is based on automatic negotiation of agreed alignments, inconsistency resolution, ontology diff computation and natural language generation methods. Their combination alleviates the end-user effort in the dynamic incorporation of new knowledge to large extent, thus conforming to the principles specified in D2.3.8v1. As such, it allows for a basic application of all the dynamic ontology lifecycle features we have proposed.
Česky
Deliverable D2.3.8v2 (WP2.3) presents a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of many practical application domains into account. This technique fully implements a crucial part of the dynamic ontology lifecycle scenario defined in D2.3.8v1. In particular, we tackle semi-automatic integration of ontology learning results into a manually developed ontology. This integration is based on automatic negotiation of agreed alignments, inconsistency resolution, ontology diff computation and natural language generation methods. Their combination alleviates the end-user effort in the dynamic incorporation of new knowledge to large extent, thus conforming to the principles specified in D2.3.8v1. As such, it allows for a basic application of all the dynamic ontology lifecycle features we have proposed.
Návaznosti
| 1ET100300419, projekt VaV |
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