Need and Relevance of Common Vocabularies and Ontologies …
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Ontologies are tranquil to outspread as associations and notion equivalently easy
to connect with the present ontologies. It also provides the meaningful significance
of datum in different format; even data is unstructured, semi-structured or structured, making data amalgamation simpler with text quarrying, and information based
analysis.
3.5 Restrictions of Ontology
Ontologies offer an opulent group of tools and techniques for information modelling,
but it comes by way of some limitations also. One such restriction is the existing property paradigms. For instance, while providing dominant class, the most recent version
of the Web Ontology Language—OWL2 has limited set of property paradigms.
Another limitation is that they specify how data has to be structured and avoid
addition of extra data. Frequently, data introduced from a new source would be
operationally inconsistent with the constraints set. Therefore, this new data need to
be modified before being incorporated with existing data.
4 Need of Vocabulary and Ontology
Efficient data storage is must needed to keep relevant multimedia data connected and
organized. This data is having lots of variance with large volume and velocity. IoT
is going to gather data from different applications developed and used by different
people is going to have inconsistency in naming methodology. If a similar vocabulary
is used it become easy to gather relevant data. Query processing and decision making
processes will also become an easy task for end users to gather important information
and used it further.
5 Ontology Quality Methodology
For evaluation and validation ontologies, ontology quality methodology [1] is used.
It has following categories to measure the quality of data
(1) Serialization
Serialization is the sequential process to convert data of an individual object into
form of binary values. Bit data is easy to save and send during communication. Its
main aim is to save all different states of data, which make its serial retrieval easy. The
inverse process of serialization is called deserialization. Serialization allows user to
save sequential states of an individual object and re-construct it also by retracing. It
provide data storage and data exchange simple among distributed applications. With
141
Ontologies are tranquil to outspread as associations and notion equivalently easy
to connect with the present ontologies. It also provides the meaningful significance
of datum in different format; even data is unstructured, semi-structured or structured, making data amalgamation simpler with text quarrying, and information based
analysis.
3.5 Restrictions of Ontology
Ontologies offer an opulent group of tools and techniques for information modelling,
but it comes by way of some limitations also. One such restriction is the existing property paradigms. For instance, while providing dominant class, the most recent version
of the Web Ontology Language—OWL2 has limited set of property paradigms.
Another limitation is that they specify how data has to be structured and avoid
addition of extra data. Frequently, data introduced from a new source would be
operationally inconsistent with the constraints set. Therefore, this new data need to
be modified before being incorporated with existing data.
4 Need of Vocabulary and Ontology
Efficient data storage is must needed to keep relevant multimedia data connected and
organized. This data is having lots of variance with large volume and velocity. IoT
is going to gather data from different applications developed and used by different
people is going to have inconsistency in naming methodology. If a similar vocabulary
is used it become easy to gather relevant data. Query processing and decision making
processes will also become an easy task for end users to gather important information
and used it further.
5 Ontology Quality Methodology
For evaluation and validation ontologies, ontology quality methodology [1] is used.
It has following categories to measure the quality of data
(1) Serialization
Serialization is the sequential process to convert data of an individual object into
form of binary values. Bit data is easy to save and send during communication. Its
main aim is to save all different states of data, which make its serial retrieval easy. The
inverse process of serialization is called deserialization. Serialization allows user to
save sequential states of an individual object and re-construct it also by retracing. It
provide data storage and data exchange simple among distributed applications. With