Collaborative construction of ontologies is still hampered by immature methodologies and by tools which are insufficient for domain experts who are not at the same time, knowledge engineers. The DynamOnt project has set out to develop a methodology for collaboratively creating group ontologies which evolve over time as well as in space and internal complexity. The project also seeks to identify requirements and specifications for tools which will support the construction of such dynamically evolving ontologies. Major issues are the guidance of knowledge workers towards soundly constructed ontologies with the help of upper level ontologies and an exploration into language issues -in our case the scenario for constructing ontologies, if German is the language of choice for the domain experts. We also investigate the relationship between terminology and ontology, which we view as a bridge between linguistically motivated and IT motivated standardisation of conceptual models. We envisage knowledge workers' environments of the future to be tightly integrated systems with their hypertextual capabilities being controlled by ontologically sound interaction and navigation models.
Ontologies still lack in including and considering the dynamic aspects of business processes. Therefore, existing ontology-based information systems provide only static information which does not suit the actual working context of a user. In this project we extend information retrieval techniques with ontologies through a process oriented view on ontologies (POVOO). The purpose is to satisfy a user with information that depends on the current process the user is working on. Due to a context aware approach, it is possible to adapt the information to the user’s current working situation dynamically. We introduce a methodology for generating views on ontologies and we illustrate how an application can use them to query highly specialized knowledge bases.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.