The document discusses the history and evolution of the semantic web. It describes how the semantic web was originally envisioned by Tim Berners-Lee as a way to link data across the web but was not practical to implement at scale initially. Over time, semantic web technologies have been applied to various applications with mixed success, but still have potential to revolutionize how people interact with information on the internet. Current implementations face challenges but the field continues to progress.

3. Introduction of
semantic web
The Semantic Web is a
vision for linking data
across webpages,
applications and files.
Some people consider it
part of the natural
evolution of the web, in
which Web 1.0 was about
linked webpages, Web 2.0
was about linked apps and
Web 3.0 is about linked
data. It was actually part of
computer scientist Tim
Berners-Lee's original plan
for the World Wide Web
but was not practical to
implement at scale at the
time

4. Early history of
semantic web
The Semantic Web is a
vision for linking data
across webpages,
applications and files.
Some people consider it
part of the natural
evolution of the web, in
which Web 1.0 was about
linked webpages, Web 2.0
was about linked apps and
Web 3.0 is about linked
data. It was actually part of
computer scientist Tim
Berners-Lee's original plan
for the World Wide Web
but was not practical to
implement at scale at the
time

5. Application of
semantic web
Other lessons address
what the Semantic Web
is, what are key
characteristics of a
Semantic Web
application, and where
its strengths lie
compared to most
traditional technologies
(coming soon!). This
lesson presents several
specific, successful
examples of Semantic
Web applications in
order to bring these lofty
ideas down to reality.

6. Types of semantic
web
The Semantic Web, sometimes
known as Web 3.0 (not to be
confused with Web3), is an
extension of the World Wide
Web through standards set by
the World Wide Web
Consortium (W3C). The goal of
the Semantic Web is to make
Internet data machine-
readableas Web 3.0 (not to be
confused with Web3), is an
extension of the World Wide
Web through standards set by
the World Wide Web
Consortium (W3C). The goal of
the Semantic Web is to make
Internet data machine-readable

7. Pros and cons of
semantic web
Converting a webpage to use
semantic HTML can require
a significant amount of
refactoring, which can be
time-consuming. However,
the long-term benefits of
using semantic HTML, such
as improved accessibility and
easier code maintenance, can
often outweigh this initial
effort.be time-consuming.
However, the long-term
benefits of using semantic
HTML, such as improved
accessibility and easier code
maintenance, can often
outweigh this initial effort.

8. Current status of
semantic web
This change in status is significant,
but in some ways, the Semantic
Web was on life-support since its
inception, and it continued to
survive only with the medical
intervention of academic
departments who had no need to
produce useable software or solve
serious industry needs.
That’s not to say that Semantic Web
technologies never served any
industry needs. They certainly did
so, but their penetration was
limited. And this limited
penetration was not only the result
of ignorance on the part of data
architects or software engineers. It
was also the fault of deep problems
with the ideas in the Semantic Web
itself.

9. Future prospects of
semantic web
In the rapidly
evolving landscape
of the digital age,
the Semantic Web
stands as a
groundbreaking
concept that has the
potential
to revolutionize the
way we interact
with and
understand
information on the
internet.

10. Bibliography of
semantic web
Achieving space domain awareness
requires the identification,
characterization, and tracking of
space objects. Storing and
leveraging associated space object
data for purposes such as hostile
threat assessment, object
identification, and collision
prediction and avoidance present
further challenges. Space objects
are characterized according to a
variety of parameters including
their identifiers, design
specifications, components,
subsystems, capabilities,
vulnerabilities, origins, missions,
orbital elements, patterns of life,
processes, operational statuses, and
associated persons, organizations,
or nations. The Space Object
Ontology provides a consensus-
based realist framework