scholarly journals Model Annotation and Discovery with the Physiome Model Repository

2018 ◽  
Author(s):  
Dewan M Sarwar ◽  
Reza Kalbasi ◽  
John H Gennari ◽  
Brian E Carlson ◽  
Maxwell L Neal ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Computational Models ◽  
Epithelial Transport ◽  
Semantic Annotation ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Web Technologies ◽  
Model Repository ◽  
Biological Phenomena ◽  
Model Annotation

Motivation: Mathematics and physics based computational models have the potential to help interpret and encapsulate biological phenomena in a computable and reproducible form. Similarly, comprehensive descriptions of such models encoded in computable form help to ensure that such models are accessible, discoverable, and reusable. To this end, researchers have developed tools and standards to encode mathematical models of biological systems enabling reproducibility and reuse; tools and guidelines to facilitate semantic description of mathematical models; and repositories in which to archive, share, and discover models. Biologists and clinicians can leverage these resources to investigate specific questions and hypotheses. Results: We have comprehensively annotated a cohort of models with biological semantics. These annotated models are freely available in the Physiome Model Repository (PMR). To demonstrate the benefits of this approach, we have developed a web-based tool which enables users to discover models relevant to their work, with a particular focus on epithelial transport. In helping a user to discover relevant models this tool will provide users with suggestions for similar or alternative models they may wish to explore or utilize in their model based on the models they would like to use. The semantic annotation and the web tool we have developed is a new contribution enabling scientists to discover relevant models in the PMR as candidates for reuse in their own scientific endeavours. We believe that this approach demonstrates how semantic web technologies and methodologies can contribute to biomedical and clinical research. Availability and implementation: https://github.com/dewancse/model-discovery-tool

ECHO

2010 ◽  
pp. 539-555 ◽  
Author(s):  
Hadas Weinberger
Keyword(s):  
Learning Experience ◽  
Semantic Annotation ◽  
Methodological Approach ◽  
Context Aware ◽  
Web Based ◽  
New Approach ◽  
Approach To Learning ◽  
Web Technologies ◽  
Web Based Learning

In this chapter, we suggest Echo, a model for utilizing Web technologies for the design of Web-based context-aware learning. Web technologies are continuously evolving to enhance information retrieval, semantic annotation, social interactions, and interactive experiences. However, these technologies do not offer a methodological approach to learning. In this chapter, we offer a new approach to Web-based learning, which considers the role of the user in shaping the learning experience. The key feature in Echo is the analysis and modeling of content for the design of a Web-based learning experience in context. There are three elements in Echo: 1) a methodology to guide the learning process, 2) techniques to support content analysis and modeling activities, and 3) a three-layered framework of social-semantic software. Incorporating this framework facilitates knowledge organization and representation. We describe our model, the methodology, and the three-layered framework. We then present preliminary results from on-going empirical research that demonstrates the feasibility of Echo and its usefulness for the design of a context-aware learning experience. Finally, we discuss the usefulness of Echo and its contribution to further research in the field of Web technologies.

scholarly journals Developing Domain Ontology for Issuing Certificate of Citizenship of Nepal

2020 ◽  
Vol 2 (2) ◽  
pp. 73-90
Author(s):  
Rama Bastola ◽  
Subarna Shakya
Keyword(s):  
Heterogeneous System ◽  
Research Work ◽  
Heterogeneous Systems ◽  
Domain Ontology ◽  
Software Systems ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Web Technologies ◽  
Ontology Language ◽  
Common Understanding

Most of the existing software systems are web-based and interactive. Semantic Web Technologies further allows for organizing and encoding information meaningfully. It enables software agents to interpret the information. However, the representation of information in different format has made challenging to interoperate among the heterogeneous systems. The representation of heterogeneous system with common standards and vocabularies is an effective solution for interoperability. For this, development of domain ontology is required for common understanding of the concept. The research work is mainly focused on development of domain ontology for issuing Citizenship of Nepal as e-government is widely considered as a good example of heterogeneous system. Protégé is used as ontology editor and Web Ontology Language (OWL) is used for representation of the concepts. A hybrid methodology with Unified Modelling Language (UML) is used to get in-depth concept of the domain. The domain ontology is verified using built-in reasoner of Protégé and validated with answering competency questions of the domain using SPARQL query.

Security and Privacy in Social Networks

2010 ◽  
pp. 1706-1717
Author(s):  
Barbara Carminati ◽  
Elena Ferrari ◽  
Andrea Perego
Keyword(s):  
Social Networks ◽  
Web Sites ◽  
Information Access ◽  
Personal Data ◽  
Security And Privacy ◽  
Semantic Web Technologies ◽  
Worst Case ◽  
Web Based ◽  
Web Technologies ◽  
Private Data

Web-based social networks (WBSNs) are online communities that allow users to publish resources (e.g., personal data, annotations, blogs) and to establish relationships, possibly of a different type (“friend,” “colleague,” etc.) for purposes that may concern business, entertainment, religion, dating, and so forth. In the last few years, the usage and diffusion of WBSNs has been increasing, with about 300 Web sites collecting the information of more than 400 million registered users. As a result, the “net model” is today used more and more to communicate, share information, make decisions, and ‘do business’ by companies and organizations (Staab et al., 2005). Regardless of the purpose of a WBSN, one of the main reasons for participating in social networking is to share and exchange information with other users. Recently, thanks to the adoption of Semantic Web technologies such as FOAF and other RDF-based vocabularies (Brickley & Miller, 2005; Davis & Vitiello, 2005; Golbeck, 2004), accessing and disseminating information over multiple WBSNs has been made simpler (Ding, Zhou, Finin, & Joshi, 2005). If this has been quite a relevant improvement towards an easier sharing of information, it makes more urgent that content owners have control over information access. In fact, making available possibly sensitive and private data and resources implies that they can be used by third parties for purposes different from the intended ones. As a matter of fact, users’ personal data and resources are regularly exploited not only by companies for marketing purposes, but also by governments and institutions for tracking persons’ behaviors and opinions, and in the worst case, by online predators (Barnes, 2006).

Classroom for the Semantic Web

2005 ◽  
pp. 251-283 ◽  
Author(s):  
Goran Shimic ◽  
Dragan Gasevic ◽  
Vladan Devedzic
Keyword(s):  
Semantic Web ◽  
Petri Net ◽  
Learning Systems ◽  
Learning Materials ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Technologies ◽  
E Learning ◽  
Server System

This chapter emphasizes integration of Semantic Web technologies in intelligent learning systems by giving a proposal for an intelligent learning management system (ILMS) architecture we named Multitutor. This system is a Web-based environment forth development of e-learning courses and for the use of them by the students. Multitutor is designed as a Web-classroom client-server system, ontologically founded, and is built using modern intelligent and Web-related technologies. This system enables the teachers to develop tutoring systems for any course. The teacher has to define the metadata of the course: chapters, the lessons and the tests, the references of the learning materials. We also show how the Multitutor system can be employed to develop learning systems that use ontologically created learning materials as well as Web services. As an illustration we describe a simple Petri net teaching system that is based on the Petrinet infrastructure for the Semantic Web.

Semantic E-Business

2011 ◽  
pp. 214-233
Author(s):  
Rahul Singh ◽  
Lakshmi Iyer ◽  
A. F. Salam
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Business Models ◽  
Business Processes ◽  
Heterogeneous Systems ◽  
Organizational Boundaries ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Web Technologies ◽  
Technical Architecture

We define semantic e-business as “an approach to managing knowledge for coordination of e-business processes through the systematic application of Semantic Web technologies.” Advances in Semantic Web-based technologies offer the means to integrate heterogeneous systems across organizations in a meaningful way by incorporating ontology — a common, standard, and shareable vocabulary used to represent the meaning of system entities; knowledge representation, with structured collections of information and sets of inference rules that can be used to conduct automated reasoning; and intelligent agents that collect content from diverse sources and exchange semantically enriched information. These primary components of the Semantic Web vision form the foundation technology for semantic e-business. The challenge for research in information systems and e-business is to provide insight into the design of business models and technical architecture that demonstrate the potential of technical advancements in the computer and engineering sciences to be beneficial to business and consumers. Semantic e-business seeks to apply fundamental work done in Semantic Web technologies to support the transparent flow of semantically enriched information and knowledge — including content and know-how — to enable, enhance, and coordinate collaborative e-business processes within and across organizational boundaries. Semantic e-business processes are characterized by the seamless and transparent flow of semantically enriched informationand knowledge. We present a holistic view of semantic e-business that integrates emergent and well-grounded Semantic Web technologies to improve the current state of the art in the transparency of e-business processes.

Using Semantis Web Technologies within E-Learning Applications

2011 ◽  
pp. 173-201
Author(s):  
Wilson Castello Branco Neto
Keyword(s):  
Learning Management Systems ◽  
Learning Objects ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Technologies ◽  
Web Based Learning ◽  
E Learning ◽  
Development And Management ◽  
The Web

This chapter reveals how the Web has improved e-learning as well as some of the problems that came along with it. It argues that the main problem is the gap between two groups involved on Web-based learning. The first group spent its energy studying learning processes, although they are not concerned with reducing the costs and the work necessary for the development and management of such systems. On the other hand, the second group aims at facilitating the construction and management of the courses, without turning its efforts toward learning subject. In this chapter, the union of technologies developed by both groups, such as intelligent tutoring systems, adaptive hypermedia, learning management systems, and learning objects, is discussed. The proposal to put together the four technologies is based on Semantic Web technologies, aiming to solve problems faced by developers, teachers, and learners of Web-based learning.

A Survey of Semantic Web Based Architectures for Adaptive Intelligent Tutoring System

2012 ◽  
pp. 239-256
Author(s):  
Suraiya Jabin ◽  
K. Mustafa
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Intelligent Tutoring ◽  
Main Idea ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Technologies ◽  
Artificial Intelligence In Education ◽  
Web Based Education

Most recently, IT-enabled education has become a very important branch of educational technology. Education is becoming more dynamic, networked, and increasingly electronic. Today’s is a world of Internet social networks, blogs, digital audio and video content, et cetera. A few clear advantages of Web-based education are classroom independence and availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, and digital libraries. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. The main idea is to incorporate Semantic Web technologies and resources to the design of artificial intelligence in education (AIED) systems aiming to update their architectures to provide more adaptability, robustness, and richer learning environments. The construction of such systems is highly complex and faces several challenges in terms of software engineering and artificial intelligence aspects. This chapter addresses state of the art Semantic Web methods and tools used for modeling and designing intelligent tutoring systems (ITS). Also it draws attention of Semantic Web users towards e-learning systems with a hope that the use of Semantic Web technologies in educational systems can help the accomplishment of anytime, anywhere, anybody learning, where most of the web resources are reusable learning objects supported by standard technologies and learning is facilitated by intelligent pedagogical agents, that may be adding the essential instructional ingredients implicitly.

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