Provenance Data Models and Assertions: A Demonstrative Approach
127
10 Conclusions
The Semantic Web has come miles from its inception. It has envisaged technology
and languages to describe data transfer through XML and RDF. It further evolved
to embrace Description Logic and cardinality; however, the real transformation was
visible when the researchers became able to develop Semantic Web documents in
the form of ontologies through the various flavors of OWL recommended by W3C.
The main concern with the semantic representation and information interchange in
IoE ecosystems is the trust and reliability of the contents and origination of the said
ontology/data item, i.e. can the user trust it, who developed it, who or which agent
modified the contents further, are still the questions to be answered. This led to the
incorporation of provenance through which any ontology can be embedded with
aspects like the version of the entity, who was the agent that manipulated the said
ontology, and through which activity of the agent was the ontology manipulated.
The latest recommendation by W3C in Time Ontology [6] has also not exploited
provenance to its full and is a work in progress. This chapter has explored the need
for provenance, the primary components of provenance, its types, and other detailed
implementations. The authors have presented the code snippets and implementational
screenshots for ease of understandability. The deliberations on the detailed development of the ontology, discussing its properties, and demonstrating all aspects of
implementation are beyond the scope of the chapter and thus have been intentionally
avoided.
References
1. Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska K.: “Towards Semantic
Interoperability Between Internet of Things Platforms” Integration, Interconnection, and Interoperability of IoT Systems, Internet of Things (2018). https://doi.org/10.1007/978-3-319-613
00-0_6
2. Effective Design of Trust Ontologies for Improvement in the Structure of Socio-Semantic Trust
Networks
127
10 Conclusions
The Semantic Web has come miles from its inception. It has envisaged technology
and languages to describe data transfer through XML and RDF. It further evolved
to embrace Description Logic and cardinality; however, the real transformation was
visible when the researchers became able to develop Semantic Web documents in
the form of ontologies through the various flavors of OWL recommended by W3C.
The main concern with the semantic representation and information interchange in
IoE ecosystems is the trust and reliability of the contents and origination of the said
ontology/data item, i.e. can the user trust it, who developed it, who or which agent
modified the contents further, are still the questions to be answered. This led to the
incorporation of provenance through which any ontology can be embedded with
aspects like the version of the entity, who was the agent that manipulated the said
ontology, and through which activity of the agent was the ontology manipulated.
The latest recommendation by W3C in Time Ontology [6] has also not exploited
provenance to its full and is a work in progress. This chapter has explored the need
for provenance, the primary components of provenance, its types, and other detailed
implementations. The authors have presented the code snippets and implementational
screenshots for ease of understandability. The deliberations on the detailed development of the ontology, discussing its properties, and demonstrating all aspects of
implementation are beyond the scope of the chapter and thus have been intentionally
avoided.
References
1. Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska K.: “Towards Semantic
Interoperability Between Internet of Things Platforms” Integration, Interconnection, and Interoperability of IoT Systems, Internet of Things (2018). https://doi.org/10.1007/978-3-319-613
00-0_6
2. Effective Design of Trust Ontologies for Improvement in the Structure of Socio-Semantic Trust
Networks