The current WWW is a powerful tool for research and education, but its utility is hampered by the inability of the user to navigate easily the nefarious sources for the information he requires. The Semantic Web is a vision to solve this problem. It is proposed that a new WWW architecture will support not only Web content, but also associated formal semantics [4]. The idea is that the Web content and accompanying semantics (or metadata) will be accessed by Web agents, allowing these agents to reason about the content and produce intelligent answers to users' queries.
The Semantic Web, in practice, comprises a layered framework: an XML layer for expressing the Web content; a Resource Description Framework (RDF) [8] layer for representing the semantics of the content; an ontology layer for describing the vocabulary of the domain; and a logic layer to enable intelligent reasoning with meaningful data [18].
XML was designed as a simple, flexible way of transporting structured documents across the Web. With XML, "tags" or hidden labels may be created - such as or - that annotate Web pages or sections of text within a page. XML is machine-readable, i.e. programs can read and understand it, but the program developer has to know what the page writer uses each tag for. In other words, XML allows users to add arbitrary structure to their documents but says nothing about what the structures mean [5].
The meaning of document content is expressed with RDF that is simply a data model and format that allows the creation of machine-readable data. It comprises a set of triples, i.e. three Universal Resource Identifiers (URI) that may be used to describe any possible relationship existing between the data subject, object and predicate [7] [16]. Thus, all data stored in the system is easily readable and processable. It is important to note that RDF provides the syntax, but not the actual meaning of the properties we ascribe to the data. For example, it does not define what data properties such as Title or Category or Related-To mean. Properties like these are not standalone; they come in packages called domain vocabularies. A learning object, for example, may include a set of properties such as Course, Sub-Section, Author, Title, Similar-To, Difficulty-Level, Rating, etc. Thus, for every domain there is a need for a specific ontology to describe the vocabularies and to make sure they are compatible.
Ontologies in the context of the Semantic Web are specifications of the conceptualization and corresponding vocabulary used to describe a domain [12].
a.k.a. a.k Web. The Web. The Web. 16 Apr. Foner, Eric, and John A. Garraty.
Nuccitelli, R., Guerra, E. and Fernandes, C. (2010) “Parsing XML Documents in Java using Annotations”. In XML: Aplicações e Tecnologias Associadas, 8, Vila do Conde.
This paper is intended to be an introductory tutorial on the Very Large Knowledge Base (VLKB) called CYC. Described herein is the reasoning for the origination of the CYC project, the intended usefulness of the project (application areas), how CYC is being constructed, and a brief introduction to the supporting tools that have been developed to interact with the CYC knowledge base.
Register, R. (2013). The importance of metadata for E-content. EContent Quarterly, 1(1), 30-44. Retrieved from http://search.proquest.com/docview/1467943727?accountid=10043
Web IS. The importance of web led the classical information systems to transform in order to integrate with web technologies. This means that a web application can access an organization’s dataset. And as we mentioned above, this integration creates new data issues, like security and accessibility.
CYC is a very large, multi-contextual knowledge base and inference engine. The development of CYC was started at the Microelectronics and Computer Technology Corporation(MCC) during the early 1980s and continued at Cycorp, Inc. On January 1, 1995 at Austin, Texas. Doug Lenat, the former head of the CYC Project at MCC and the president of Cycorp at present, has lead the development of the CYC project from the beginning. The goal of the Cyc project is to break the software brittleness bottleneck once and for all by constructing a foundation of basic common sense knowledge system and semantic substratum of terms, rules, and relations that will enable a variety of knowledge-intensive products and services. T...
Blaike (2000) asserted that ontology to involve, “claims and assumptions that are made about natur...
Ed. Edward N. Zalta, Ph.D. Winter 2011 Edition ed. Web. The Web. The Web.
Developing an ontology of political entities which contains the names of the political actors , their variants ( acronyms), and their roles in the political scope.
The geographic information is converted into linked geospatial data, for exposing, sharing and connecting resources in the web. For example, a geographical feature described in the data has a URI with links pointing to other geographical features based on their geospatial relation. The knowledge model and catalogue model of the datasets (metadata) is changed according to the developments in the field of semantic web to accommodate details that are necessary for pattern recognition and subsequent linking .The SDI should use open data...
unified because reasoning and problem solving may involve several areas simultaneously. A robot circuitrepair syste m, for instance, needs to reason about circuits in terms of electrical connectivity and physical layout, and about time both for circuit timing analysis and estimating labor costs. The sentences describing time therefore must be capable of being combined w ith those describing spatial layout, and must work equally well for nanoseconds and minutes, and for angstroms and meters. After we present the general ontology, we will apply it to write sentences describing the domain of grocery shopping. A brief reverie on the subject of shopping brings to mind a vast array of topics in need of representation: locations, movement, physical objects, shapes, sizes, grasping, releasing, colors, categories of objects, anchovies, amounts of stuff, nutrition, cooking, nonstick frying pans, taste, time, money, direct debit cards, arithmetic, economics, and so on. The domain is more than adequate to exercise our ontology, and leaves plenty of scope for the reader to do some creative knowledge representation of his or her own. 228 Chapter 8. Building a Knowledge Base Our discussion of the
The Wireless Markup Language (WML) is used to create pages that can be delivered using WAP. WML is a language that allows the text portions of Web pages to be presented on cellular telephones and personal digital assistants (PDAs) via wireless access. WML is part of the Wireless Application Protocol (WAP) that is being proposed by several vendors to standards bodies. The Wireless Application Protocol works on top of standard data link protocols, such as Global System for Mobile communication, code-division multiple access, and Time Division Multiple Access, and provides a complete set of network communication programs comparable to and supportive of the Internet set of
Fischer, G. (1995). Distributed cognition, learning webs, and domain-oriented design environments [World Wide Web Document]. Indianapolis: Proceedings of the CSCL'95 Conference. Available: http://www-cscl95.indiana.edu/cscl95/fischer.html
Nowadays, teaching is no longer restricted to face-to-face interaction between the students and the teachers. (Yueh & Hsu, 2008). The usage of learning management systems in the classroom and in the workplace continues to play an important role in helping instructors, trainers and educators in meeting their pedagogical as well as their organizational goals (see Argyris, 1977; Beatty & Ulasewicz, 2006; Liu, Li & Carlsson, 2010; Shrivastava, 1983; Ong, Lai & Wang, 2004). Becoming ubiquitous since the 80’s and 90’s, learning management systems (LMS) are one of the means of e-learning—a learning situation where instructors and learners are separated by distance, time, or both (Raab, Ellis, & Abdon, 2002) as well as m-learning (mobile