Need and Relevance of Common Vocabularies and Ontologies …
143
(8) Ontology Design
What’s, why’s and where’s organise the ontology in data set to identify the best
place for data. Ontology designers need to find correct place to classify data in
ontology with its relationship with rest. Matching problems doesn’t provide optimal
solution which makes need of ontology design. Domain and task are two major
entities in designing of ontologies. Domain establishes a relationship and information
of individuals and task makes them identify able in the set.
Selection of Ontology has to be based on some parameters are as follow:
1. Goal of ontology
Sharing common understanding of the structure of data is one of the major goals
of ontology. For example, if different Web sites contain medical data it becomes
difficult to share it or correlate it with other sites data. If these Web domains share
and distribute the similar ontology, data extraction and aggregation becomes easy.
The users can practice this combined statistics to reply enquiries or as feedback into
other applications.
Permitting reprocess of domain information was unique and powerful services
after recent outpouring in ontology exploration. For instance, models used for representation of dissimilar time in different domains. This comprises the concepts of time
pauses among domains, points in time, comparative time measurement, and much
more. If we requires a large ontology, integration of several present ontologies help
to create better and enormous province.
Production of unambiguous domain norms creates it easy on the way to alter if
there is any changes occurred. Separating the domain describe mechanisms rendering
to the mandatory measurement and implement it independently.
2. Size
Large size of ontology increases its efficiency as well as complexity. The small
size ontologies are not enough to perform any operation, so it gets integrated with
parent class but still remain as an individual class. The big ontology requires optimal
search and update algorithms whereas classification in such data sets is more accurate.
Interrelationship makes it difficult to manage and find a relation individually among
objects or classes.
3. Documentation
Proper documentation of ontology makes it easy to use and access. Usually for
developer it is easy to extend and integrate different data values with the help of
documentation. The proper management of ontology make easy to identify an error.
4. Avability on Web
Avability of ontology on web make it easy to update frequently having more
precise and updated knowledge. The linking of data also becomes easy to categorized data because of it. If an unknown user having less or no information will edit
data it will decrease its performance and quality. Identification of such faults is too
143
(8) Ontology Design
What’s, why’s and where’s organise the ontology in data set to identify the best
place for data. Ontology designers need to find correct place to classify data in
ontology with its relationship with rest. Matching problems doesn’t provide optimal
solution which makes need of ontology design. Domain and task are two major
entities in designing of ontologies. Domain establishes a relationship and information
of individuals and task makes them identify able in the set.
Selection of Ontology has to be based on some parameters are as follow:
1. Goal of ontology
Sharing common understanding of the structure of data is one of the major goals
of ontology. For example, if different Web sites contain medical data it becomes
difficult to share it or correlate it with other sites data. If these Web domains share
and distribute the similar ontology, data extraction and aggregation becomes easy.
The users can practice this combined statistics to reply enquiries or as feedback into
other applications.
Permitting reprocess of domain information was unique and powerful services
after recent outpouring in ontology exploration. For instance, models used for representation of dissimilar time in different domains. This comprises the concepts of time
pauses among domains, points in time, comparative time measurement, and much
more. If we requires a large ontology, integration of several present ontologies help
to create better and enormous province.
Production of unambiguous domain norms creates it easy on the way to alter if
there is any changes occurred. Separating the domain describe mechanisms rendering
to the mandatory measurement and implement it independently.
2. Size
Large size of ontology increases its efficiency as well as complexity. The small
size ontologies are not enough to perform any operation, so it gets integrated with
parent class but still remain as an individual class. The big ontology requires optimal
search and update algorithms whereas classification in such data sets is more accurate.
Interrelationship makes it difficult to manage and find a relation individually among
objects or classes.
3. Documentation
Proper documentation of ontology makes it easy to use and access. Usually for
developer it is easy to extend and integrate different data values with the help of
documentation. The proper management of ontology make easy to identify an error.
4. Avability on Web
Avability of ontology on web make it easy to update frequently having more
precise and updated knowledge. The linking of data also becomes easy to categorized data because of it. If an unknown user having less or no information will edit
data it will decrease its performance and quality. Identification of such faults is too