scholarly journals Ontology Metadata Vocabulary and Applications

2005 ◽  
pp. 906-915 ◽  
Author(s):  
Jens Hartmann ◽  
Raúl Palma ◽  
York Sure ◽  
M. Carmen Suárez-Figueroa ◽  
Peter Haase ◽  
...  
Keyword(s):  
Ontology Metadata

Dynamic Knowledge Discovery in Open, Distributed and Multi-Ontology Systems

2006 ◽  
pp. 226-258 ◽  
Author(s):  
Silvana Castano ◽  
Alfio Ferrara ◽  
Stefano Montanelli
Keyword(s):  
Distributed Systems ◽  
Knowledge Discovery ◽  
Resource Discovery ◽  
Peer To Peer ◽  
Information Resources ◽  
Information Resource ◽  
Peer To Peer Networks ◽  
Open Distributed Systems ◽  
Ontology Metadata ◽  
Share Information

In open distributed systems like peer-to-peer networks and Grids, many independent peers, possibly spanned across multiple organizations, need to share information resources (e.g., data, documents, services) provided by other nodes. By dynamic knowledge discovery we mean the capability of each node of finding knowledge in the system about information resources that, at a given moment, best match the requirements of a request for given target resource(s). The chapter will focus on describing models and techniques for ontology metadata management and ontology-based dynamic knowledge discovery in open distributed systems, by describing the architecture of a toolkit for information resource discovery and sharing developed in the Helios peer-based system.

Ontology metadata for ontology reuse

2011 ◽  
Vol 6 (2) ◽  
pp. 126 ◽  
Author(s):  
Elena Simperl ◽  
Cristina Sarasua ◽  
Rachanee Ungrangsi ◽  
Tobias Bürger
Keyword(s):  
Ontology Reuse ◽  
Ontology Metadata

scholarly journals Ontological Empowerment: Sustainability via Ownership

2013 ◽  
Vol 23 (1) ◽  
pp. 47
Author(s):  
Jane Greenberg ◽  
Angela Murillo ◽  
John A Kunze
Keyword(s):  
Level Set ◽  
Home Ownership ◽  
Urban Housing ◽  
Scientific Data ◽  
Community Identity ◽  
Functional Requirements ◽  
Ontological Dependence ◽  
High Level ◽  
Ontology Metadata

<p>Positive impacts associated with urban housing/home ownership programs motivate us to study this topic in relation to ontologies. This paper reviews ontological dependence and presents early work underway in the DataONE Preservation and Metadata Working Group (PAMWG) to collectively leverage existing metadata schemes and ontologies. The paper introduces a high-level set of functional requirements and the stackoverflow model that may be used detect highly rated metadata or ontological properties to from a loose cannon for describing scientific data. The long term goal is to establish community identity and rhythm supporting a sustainable ontology/metadata driven workflow.</p>

scholarly journals Enriching ontologies with multilingual information

2010 ◽  
Vol 17 (3) ◽  
pp. 283-309 ◽  
Author(s):  
E. MONTIEL-PONSODA ◽  
G. AGUADO DE CEA ◽  
A. GÓMEZ-PÉREZ ◽  
W. PETERS
Keyword(s):  
Ontology Development ◽  
Process Ontology ◽  
Natural Languages ◽  
Linguistic Information ◽  
Food And Agriculture ◽  
Ontology Language ◽  
Food And Agriculture Organization ◽  
Novel Approach ◽  
Information Repository ◽  
Ontology Metadata

AbstractThis paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within the ontology development process, ontology localization has been defined as the activity of adapting an ontology to a concrete linguistic and cultural community. Depending on the ontology layers – terminological and/or conceptual – involved in the ontology localization activity, three heterogeneous multilingual ontology metamodels have been identified, of which we propose one of them. Our proposal consists in associating the ontology metamodel to an external model for representing and structuring lexical and terminological data in different natural languages. Our model has been called Linguistic Information Repository (LIR). The main advantages of this modelling modality rely on its flexibility by allowing (1) the enrichment of any ontology element with as much linguistic information as needed by the final application, and (2) the establishment of links among linguistic elements within and across different natural languages. The LIR model has been designed as an ontology of linguistic elements and is currently available in Web Ontology Language (OWL). The set of lexical and terminological data that it provides to ontology elements enables the localization of any ontology to a certain linguistic and cultural universe. The LIR has been evaluated against the multilingual requirements of the Food and Agriculture Organization of the United Nations in the framework of the NeOn project. It has proven to solve multilingual representation problems related to the establishment of well-defined relations among lexicalizations within and across languages, as well as conceptualization mismatches among different languages. Finally, we present an extension to the Ontology Metadata Vocabulary, the so-called LexOMV, with the aim of reporting on multilinguality at the ontology metadata level. By adding this contribution to the LIR model, we account for multilinguality at the three levels of an ontology: data level, knowledge representation level and metadata level.

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