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A. Sharma and R. B. Battula
difficult in such cases. Avability on web make ontologies to easily available anytime
anywhere. The queries and correlation of data become easy in this case. It will remain
updated in real time with multi user accessibility.
5. Popularity
Popularity is the most important aspect to improve the quality of words and it plays
an important role in data set. Unpopular words get vanished from daily conversation
and rarely used. The elimination of this data is not a good decision because it helps
to identify miscellaneous hidden information. But it has to give low priority for
optimal identification. Most of the least used words represent unauthorized data with
respective of forensics. Arrangement of ontologies on basis of popularity helps to
make frequently used data easily available. It makes operations less time consuming.
System optimality gets increased with this feature.
6. Maintenance with time
Maintenance of data allows speeding up query process by illuminating the inherent
relations which are authenticated and approved through the semantics of ontology.
The complication of reasoning within ontology, is in this manner moved from demand
time to apprise time.
7. Meta data Vocabulary
“Data about Data” or set of words denoting the features of resources is known
as Meta data. Ontology is a metadata vocabulary. Generally, metadata vocabularies
are domain precise. Controlled vocabularies are homogeneous and ordered words
provide a dependable way to define data. Metadata designers allocate terms from
vocabularies to simplify information recovery.
Commonly vocabularies contain subject headings, lists, files, and thesauri.
Controlled vocabularies can be organised in alphabetical lists with a hierarchical
arrangement of data. Thesauri also comprise synonyms, associated data, scope and
notes, data antiquity, alternative idioms, or numerical data. Ontologies include even
more specification, such as description, concepts, hierarchy and relationships with
other values.
6 Application
Smart City [2] requires interoperable system, to process data securely, and manages
services. Secure data access will reduce the cost of operation. Some famous Ontologies for Smart Cities [1] are KM4City (Knowledge Model for City), Semantic Traffic
Analytics and Reasoning for CITY(STAR-CITY), SCOnt (Smart City Ontology),
and CityPulse
Agriculture and Food supply [3] is also needed a dictionary o track entities in
system and to manage information from seeding to selling of crops. It helps to
manage data of farm items and to keep transaction easy. Smart City, Smart Home,
A. Sharma and R. B. Battula
difficult in such cases. Avability on web make ontologies to easily available anytime
anywhere. The queries and correlation of data become easy in this case. It will remain
updated in real time with multi user accessibility.
5. Popularity
Popularity is the most important aspect to improve the quality of words and it plays
an important role in data set. Unpopular words get vanished from daily conversation
and rarely used. The elimination of this data is not a good decision because it helps
to identify miscellaneous hidden information. But it has to give low priority for
optimal identification. Most of the least used words represent unauthorized data with
respective of forensics. Arrangement of ontologies on basis of popularity helps to
make frequently used data easily available. It makes operations less time consuming.
System optimality gets increased with this feature.
6. Maintenance with time
Maintenance of data allows speeding up query process by illuminating the inherent
relations which are authenticated and approved through the semantics of ontology.
The complication of reasoning within ontology, is in this manner moved from demand
time to apprise time.
7. Meta data Vocabulary
“Data about Data” or set of words denoting the features of resources is known
as Meta data. Ontology is a metadata vocabulary. Generally, metadata vocabularies
are domain precise. Controlled vocabularies are homogeneous and ordered words
provide a dependable way to define data. Metadata designers allocate terms from
vocabularies to simplify information recovery.
Commonly vocabularies contain subject headings, lists, files, and thesauri.
Controlled vocabularies can be organised in alphabetical lists with a hierarchical
arrangement of data. Thesauri also comprise synonyms, associated data, scope and
notes, data antiquity, alternative idioms, or numerical data. Ontologies include even
more specification, such as description, concepts, hierarchy and relationships with
other values.
6 Application
Smart City [2] requires interoperable system, to process data securely, and manages
services. Secure data access will reduce the cost of operation. Some famous Ontologies for Smart Cities [1] are KM4City (Knowledge Model for City), Semantic Traffic
Analytics and Reasoning for CITY(STAR-CITY), SCOnt (Smart City Ontology),
and CityPulse
Agriculture and Food supply [3] is also needed a dictionary o track entities in
system and to manage information from seeding to selling of crops. It helps to
manage data of farm items and to keep transaction easy. Smart City, Smart Home,