ontology

Idealism is often contrasted with materialism, both belonging to the class of monist as opposed to dualist or pluralist ontologies.

Once an organization gets started on defining and maintaining their ontologies, it needs to be managed and run across the enterprise.

Lastly, Dan McCreary discussed some of the things to watch out for in defining enterprise ontologies.

Early attempts to develop industry or domain specific vocabularies and ontologies have failed for a number of reasons.

Dan McCreary talked about some of the main pitfalls in developing and maintaining enterprise ontologies.

The need to address this terminology problem has spawned the building of a large number of bio-ontologies.

Information processing across ontologies is not possible without knowing the semantic mappings between their elements.

Ontologies define data models in terms of classes, subclasses, and properties.

And provide reasoning through the relationships, rules, logic, and conditions represented in those ontologies.

Ontologies and Ontological management have become more popular as enterprise architecture has gained ground among organizations.

And the mapping between concepts from different ontologies can be discovered by their semantic similarity.

Ontologies provide us with a good approach to understanding and organizing that data.

Use popular ontologies like FOAF whenever possible because common structures and vocabulary will facilitate data integration.

In the spectrum of standards, SKOS contributes by bridging the gap between traditional indexing and formal ontologies for the Semantic Web.

A solution to this problem is provided by the third basic component of the Semantic Web, collections of information called ontologies.

When we describers the classifier, firstly, we explain how these Ontologies can be built in a modular fashion, and mapped into DDC and LCC.

Once approved, it would provide modeling capabilities for defining ontologies.

Examples include descriptions in data dictionaries, annotations, or ontologies.

Ontology mapping is a preliminary work to realize the communication between different Ontologies.

we can always assert specific properties about individuals , but much of the power of ontologies comes from class - based reasoning.

then provide users with the ontologies which conform to the enforced constraints on trust-worthiness.

As the research about formalization of ontology is just began, there is a lack of technology for evaluating ontologies.

With this upswing and beginning widespread usage of ontologies, however, new problems are incurred.

For enterprises that are serious about the value of their ontologies, these individuals should play key leadership roles.

Training the team in appropriate semantics and ontologies for precise communication.

Ontologies provide a very powerful and flexible way to aggregate, visualize, and normalize this service metadata layer.

The imminent need for Ontologies in biology--Reduction and Analysis of Data the largest challenge!

SOA Software: Repository Manager binds to WSRR-specified OWL ontologies via its dynamic asset template infrastructure.

On the Semantic Web this problem is solved by ontologies, and the W3C standard for expressing ontologies is the Web Ontology Language (OWL).

Such formal domain models are sometimes called ontologies.

An important notion of ontologies is entity correspondence.

Separating the domain knowledge from the operational knowledge is another common use of ontologies.

However, because of the Semantic Web's distributed nature, data on it will inevitably come from many different ontologies.

Using ontologies takes some practice.

Based on F-logic and O-logic, a formal description language of ontologies with value restrictions is proposed.

With the development of the semantic web and the rich of ontologies, ontology similarity becomes a hot issue of the current research.

On one hand, the ontologies we develop during domain analysis tend to involve classes that inherit from multiple parents.

I believe we will see increasing use of UML as industries and consumers begin to develop their ontologies and services using XML.

In addition, many ontologies are domain specific in fields such as technology, environmental science, chemistry and linguistics.

Part 5 takes the ontologies you created in Part 4 and used them to enable users to change out information sources.

In Part 5, you will take the ontologies created in Part 4 and use them to enable users to change out information sources.

The WSDL-S annotated tools add semantic tags to the existing WSDL file based on one or more ontologies.

A standard means of describing relationships between data items (ontologies defined with the OWL Web Ontology Language)

Describing a Browsing and Searching Personalization System For Digital Libraries by Means of Ontologies

Once adoption of ontologies has begun in an organization, McCreary's list of ten pitfalls should be heeded

Constructing Dynamic Recommended Product Ontologies

SOA Reference Ontology standards provides means for overcoming this limitation through usage of ontologies

Heterogeneous Spatial Information Interoperability Based on Cooperative Ontologies

Huge number of ontologies exist already, using proprietary formats

A standard means to describe relationships between data items: Ontologies that use the OWL Web Ontology Language

Complex Networks Characteristics in Ontologies

LOAIT Workshop: Legal Ontologies and Artificial Intelligence Techniques

Approximate querying between heterogeneous ontologies based on association matrix

Similarity Comparing Measures in Ontologies

A Novel Approach for Retrieval and Ranking for the Ontologies on the Semantic Web

Integrating Ontologies and Thesauri for RDF Schema Creation

Research on Formal Categorical Ontologies

Research progress in geographical spatio-temporal ontologies

Study on Knowledge Query in Personalized Ontologies

Description logics for fuzzy ontologies on semantic web

Novel method for searching ontologies on semantic web

The equivalence of terms across ontologies

Constructing Virtual Domain Ontologies Based on Domain Knowledge Reuse

Evaluate your data in the context of existing ontologies

An Ontology Based WWW Broker to Select Ontologies,

Multi-level complex approach for Web services matchmaking based on domain ontologies

Use tools made for designing ontologies

OWL is a language for defining ontologies. OWL

The goal is to develop a Web Ontologies Languageto define

The Semantic Web needs a support of ontologies

Information retrieval model based on ontologies

Study of Modeling of Ontologies Based on OWL

A Formal Approach for Multiple Representations in GIS Based on DL Ontologies

Others begin to use ontologies, too

Research on the Collaborative Evolution of OWL Ontologies Based on And-or Graph

Similarity of XML-Schema Elements Based on Domain Ontologies