The document discusses the Semantic Web, which aims to make web data more easily processable by machines through linking related information. It has four main components - URIs for identification, RDF for describing data, RDF Schema for describing data properties, and OWL for adding reasoning. This allows machines to better interpret and draw conclusions from web data. Challenges include dealing with the vastness, vagueness, uncertainty and inconsistency of web data. The document outlines benefits like more precise information retrieval and simplified application integration. It encourages contributions to developing Semantic Web languages and applications.
Introduction to semantic web. Includes its goal, features, why we need, semantic web related framework, RDF's, Advantages, Uniform resource locator, web ontology language, micro-formats.
Introduction to semantic web. Includes its goal, features, why we need, semantic web related framework, RDF's, Advantages, Uniform resource locator, web ontology language, micro-formats.
The Semantic Web is an evolving development of the World Wide Web in which the word semantic stands for the meaning of. The semantic of something is the meaning of something. The Semantic Web or Web 2.0 or Web3.0 is a “Web of data” that enables machines to understand the semantics or meaning. Of information on the World Wide Web. It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other. Enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. The term was coined by Tim Beemers-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium. Which oversees the development of the proposal Semantic Web standards? He defines the Semantic Web as “a web of data that can be processed directly and
indirectly by machines.”
The Semantic Web is an evolving development of the World Wide Web in which the word semantic stands for the meaning of. The semantic of something is the meaning of something. The Semantic Web or Web 2.0 or Web3.0 is a “Web of data” that enables machines to understand the semantics or meaning. Of information on the World Wide Web. It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other. Enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. The term was coined by Tim Beemers-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium. Which oversees the development of the proposal Semantic Web standards? He defines the Semantic Web as “a web of data that can be processed directly and
indirectly by machines.”
"Mobile Commerce is any transaction, involving the transfer of ownership or rights to use goods and services, which is initiated and completed by using mobile (Cell-phone, PDA, Smart-phone) access to mobile communication networks over different technologies” .
The Semantic Web is a vision of information that is understandable by computers. Although there is great exploitable potential, we are still in "Generation Zero'' of the Semantic Web, since there are few real-world compelling applications. The heterogeneity, the volume of data and the lack of standards are problems that could be addressed through some nature inspired methods. The paper presents the most important aspects of the Semantic Web, as well as its biggest issues; it then describes some methods inspired from nature - genetic algorithms, artificial neural networks, swarm intelligence, and the way these techniques can be used to deal with Semantic Web problems.
Improve information retrieval and e learning usingIJwest
The Web-based education and E-Learning has become a very important branch of new educational technology. E-learning and Web-based courses offer advantages for learners by making access to resources and learning objects very fast, just-in-time and relevance, at any time or place. Web based Learning Management Systems should focus on how to satisfy the e-learners needs and it may advise a learner with most suitable resources and learning objects. But Because of many limitations using web 2.0 for creating E-learning management system, now-a-days we use Web 3.0 which is known as Semantic web. It is a platform to represent E-learning management system that recovers the limitations of Web 2.0.In this paper we present “improve information retrieval and e-learning using mobile agent based on semantic web technology”. This paper focuses on design and implementation of knowledge-based industrial reusable, interactive, web-based training activities at the sea ports and logistics sector and use e-learning system and semantic web to deliver the learning objects to learners in an interactive, adaptive and flexible manner. We use semantic web and mobile agent to improve Library and courses Search. The architecture presented in this paper is considered an adaptation model that converts from syntactic search to semantic search. We apply the training at Damietta port in Egypt as a real-world case study. we present one of possible applications of mobile agent technology based on semantic web to management of Web Services, this model improve the information retrieval and E-learning system.
The World Wide Web is booming and radically vibrant due to the well established standards and widely accountable framework which guarantees the interoperability at various levels of the application and the society as a whole. So far, the web has been functioning at the random rate on the basis of the human intervention and some manual processing but the next generation web which the researchers called semantic web, edging for automatic processing and machine-level understanding. The well set notion, Semantic Web would be turn possible if only there exists the further levels of interoperability prevails among the applications and networks. In achieving this interoperability and greater functionality among the applications, the W3C standardization has already released the well defined standards such as RDF/RDF Schema and OWL. Using XML as a tool for semantic interoperability has not achieved anything effective and failed to bring the interconnection at the larger level. This leads to the further inclusion of inference layer at the top of the web architecture and its paves the way for proposing the common design for encoding the ontology representation languages in the data models such as RDF/RDFS. In this research article, we have given the clear implication of semantic web research roots and its ontological background process which may help to augment the sheer understanding of named entities in the web.
Semantic Technology. Origins and Modern Enterprise Usemyankova
With the help of Semantic Technology rather than locked into siloed, proprietary data formats that impede storage, access and retrieval, data pieces would seamlessly become interoperable and easy to integrate.
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Web was developed to share information among the users through internet as some hyperlinked documents.
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few works has been done, specially the publication of legacy data within a University domain as Linked
Data.
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Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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https://arxiv.org/abs/2306.08302
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Semantic web
1. 5th
Assignment Web Technology
Department of Information Technology,
Institute of Graduate Studies and Research,
University of Alexandria,Egypt.
Presented by:
Ahmed Atef Elnaggar
Supervisor:
Prof. Ahmed M. Elfatatry
2. What Is The Semantic Web?
The Semantic Web is a mesh of information linked up in such a way as to be easily processable
by machines, on a global scale. You can think of it as being an efficient way of representing data
on the World Wide Web, or as a globally linked database.
Purpose
The main purpose of the Semantic Web is driving the evolution of the current Web by enabling
users to find, share, and combine information more easily. The semantic web is a vision of
information that can be readily interpreted by machines, so machines can perform more of the
tedious work involved in finding, combining, and acting upon information on the web.
Capability The technology must be capable of:
Retrieving large amounts of textual data quickly.
Allowing users to add annotations so that a reasoning capability exists.
Making text retrieval more specific.
Allowing conclusions to be drawn by data on the Web and across organizations.
Challenges
Some of the challenges for the Semantic Web include vastness, vagueness, uncertainty,
inconsistency, and deceit. Automated reasoning systems will have to deal with all of these issues
in order to deliver on the promise of the Semantic Web.
Figure 1: The Semantic Web Layers
FOUR COMPONENTS OF THE SEMANTIC
URI – UNIFORM RESOURCE IDENTIFIER
URI’s are simple web identifiers that are often found on the World
Wide Web (i.e. http, ftp).
RDF – RESOURCE DESCRIPTION FRAMEWORK
RDF is used by The Semantic Web to describe data, thus allowing it to
be shared more conveniently. It enables software developers to design
products that will deploy better search engines by utilizing the metadata.
As a result, users have more control over what they are viewing.
Additionally, RDF is vocabulary agnostic which creates an
interoperable environment capable of supporting a diverse range of ontologies.
RDF SCHEMA
The RDF Schema is a language used by The Semantic Web to describe the data properties used in RDF.
display it. Semantic Web uses OWL to add reason to data by identifying and describing relationships
between data
items. OWL
ontologies are capable of processing the content of information, rather than just presenting the data to
users.
3. The Power Of Semantic Web Languages
The main power of Semantic Web languages is that any one can create one, simply by publishing
some RDF that describes a set of URIs, what they do, and how they should be used. We have
already seen that RDF Schema and DAML are very powerful langauges for creating languages.
Because we use URIs for each of the terms in our languages, we can publish the languages easily
without fear that they might get misinterpreted or stolen, and with the knowledge that anyone in
the world that has a generic RDF processor can use them
BENEFITS OF THE SEMANTIC WEB
• Information is captured in a language agnostic format.
• A central repository for knowledge is created.
• More precise, relevant information is captured.
• Processes and procedures are mapped to data sources.
• One collective view of knowledge across enterprise applications is created.
As a result:
• Point-to-point integration becomes obsolete.
• Application integration is easy and efficient.
• Superfluous data decreases.
• knowledge across applications becomes consistent.
• Upgrades and maintenance are simplified.
What Can I Do To Help?
There are many ways in which one can contribute to creating the Semantic Web. Here's a few of
them:-
Publish some globally useful data in RDF.
Write an inference engine in the language of your choice.
Spread the word: do some education and outreach.
Help in the developent of RDF Schema and/or DAML.
Contribute in representing state in RDF, a rather neglected field of research.
Apply your own development backgrounds to the Semantic Web, give us all a new angle
to consider it from.
Instead of using some proprietary system for your next application, consider making it a
Semantic Web project instead.
There are many other ways in which one can help as well: ask in the community for more details.
4. References
1. ^ "XML and Semantic Web W3C Standards Timeline". 2012-02-04.
2. ^ a b c
"W3C Semantic Web Activity". World Wide Web Consortium (W3C). November
7, 2011. Retrieved November 26, 2011.
3. ^ a b
Berners-Lee, Tim; James Hendler and Ora Lassila (May 17, 2001). "The Semantic
Web". Scientific American Magazine. Retrieved March 26, 2008.
4. ^ Lee Feigenbaum (May 1, 2007). "The Semantic Web in Action". Scientific American.
Retrieved February 24, 2010.
5. ^ Berners-Lee, Tim (May 1, 2001). "The Semantic Web". Scientific American. Retrieved
March 13, 2008.
6. ^ Nigel Shadbolt, Wendy Hall, Tim Berners-Lee (2006). "The Semantic Web Revisited".
IEEE Intelligent Systems. Retrieved April 13, 2007.