5,794 research outputs found
Review of Semantic Importance and Role of using Ontologies in Web Information Retrieval Techniques
The Web contains an enormous amount of information, which is managed to accumulate, researched, and regularly used by many users. The nature of the Web is multilingual and growing very fast with its diverse nature of data including unstructured or semi-structured data such as Websites, texts, journals, and files. Obtaining critical relevant data from such vast data with its diverse nature has been a monotonous and challenging task. Simple key phrase data gathering systems rely heavily on statistics, resulting in a word incompatibility problem related to a specific word's inescapable semantic and situation variants. As a result, there is an urgent need to arrange such colossal data systematically to find out the relevant information that can be quickly analyzed and fulfill the users' needs in the relevant context. Over the years ontologies are widely used in the semantic Web to contain unorganized information systematic and structured manner. Still, they have also significantly enhanced the efficiency of various information recovery approaches. Ontological information gathering systems recover files focused on the semantic relation of the search request and the searchable information. This paper examines contemporary ontology-based information extraction techniques for texts, interactive media, and multilingual data types. Moreover, the study tried to compare and classify the most significant developments utilized in the search and retrieval techniques and their major disadvantages and benefits
Recommended from our members
STELLAR (Semantic Technologies Enhancing the Lifecycle of Learning Resources): Jisc Final Report
[Project Summary]
As one of the earliest distance learning providers The Open University (OU) has a rich heritage of archived learning materials. An ever increasing amount of that is in digital form and is being deposited with the University Archive. This growth has been driven by digitisation activity from projects such as AVA (Access to Video Assets) and the Fedora-based Open University Digital Library ‘a place to discover digital and digitised archival content from the OU Library, from videos and images to digitised documents’. Other digital content is being captured from web archiving activities, such as work to preserve Moodle Virtual Learning Environment course websites. An evidence based understanding is required to inform digital preservation policies, curation strategy and investment in digital library development.
Following the Pre-enhancement, Enhancement and Post-enhancement methodology set out by Jisc, STELLAR adopted the model of a balanced scorecard to ascertain the value ascribed to the non-current learning materials. Four aspects were considered: Personal and professional perspectives of value; Value to the Higher Educational and academic communities; Value to internal processes and cultures; Financial perspectives of value. The outcomes of the survey indicated that stakeholders place a high value on the materials, and that they perceived them to have value in all areas evaluated.
Three OU courses were chosen from the digital library for the transformation stage. These materials were enhanced and transformed into RDF, a process that required more extensive metadata expertise and effort than was expected. Following enhancement the RDF was accessed through a tool called DiscOU, created by a member of the project team from the OU’s Knowledge Media Institute. DiscOU uses both linked data and a semantic meaning engine to analyse the meaning of the text in a search query. This is matched against the meaning of the content derived from an index of the full-text of the digital library content.
In the final stage stakeholders were asked through a survey and series of workshops to use the DiscOU proof-of-concept tool to assess their perception of the value of this transformation. This has revealed that overall, academics and other stakeholders in the university do believe that the value of the selected materials was positively impacted by the application of semantic technologies
Recommended from our members
Learning in an age of digital networks
The final years of the twentieth century and early years of the twenty first century have been marked by the rapid rise of digital and networked technologies. Some have even called it a paradigm shift and suggested that it will lead to a dramatic change in the way young people learn (Tapscott and Williams, 2010). As with all commentary on new technologies we should beware of being carried away with the excitement of the new. There is a recurrent innovation cycle beginning with over excitement followed by disappointment and once the reaction has set in against the new it is followed by a move away to yet another new technology, often before a proper assessment and evaluation of the previous cycle can take place. Equally we must be careful not to ignore the profound changes that are taking place and how they may affect universities and learning in society more generally. A recent description by a UK based think tank Demos characterized the kind of university that is emerging from the engagement with new digital and networked technologies as the 'edgeless university' (Bradwell, 2009). The term edgeless is borrowed from work on the city that suggests edgeless cities have the function of cities without being organized in their classic form. In the same way the Demos pamphlet suggests that the university retains an identifiable function but the functions of the university are no longer confined to a single institution nor are they confined to higher education institutions more broadly. Over a decade ago Brown and Duguid (2000) identified the core functions of universities as the capacity to grant degrees, to accredit students and to provide the warrant that guaranteed the credentials obtained by the students from the university. They also suggested that the introduction of what were then new technologies would lead to an increased focus on these core functions. The core role remains in the edgeless university but the boundaries to these may alter. This article tries to provide a way of thinking about new technologies that manages to balance these two conflicting needs. It identifies some current ways of thinking about the changes taking place in universities that are related to digital and networked technologies and to assess their impact. It then goes on to suggest the kinds of choices we may have to make in relation to new technologies at a variety of levels, the personal, the institutional and in terms of society in general. The edgeless university is associated with broad technological change but whether such change is inevitable is still an issue that needs to be discussed
PERICLES Deliverable 4.3:Content Semantics and Use Context Analysis Techniques
The current deliverable summarises the work conducted within task T4.3 of WP4, focusing on the extraction and the subsequent analysis of semantic information from digital content, which is imperative for its preservability. More specifically, the deliverable defines content semantic information from a visual and textual perspective, explains how this information can be exploited in long-term digital preservation and proposes novel approaches for extracting this information in a scalable manner. Additionally, the deliverable discusses novel techniques for retrieving and analysing the context of use of digital objects. Although this topic has not been extensively studied by existing literature, we believe use context is vital in augmenting the semantic information and maintaining the usability and preservability of the digital objects, as well as their ability to be accurately interpreted as initially intended.PERICLE
Mobile crowd sensing architectural frameworks: A comprehensive survey
Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials, a number of research challenges should be sufficiently addressed. The aim of this paper is to survey representative mobile crowd sensing applications and frameworks proposed in related research literature, analyze their distinct features and discuss on their relative merits and weaknesses, highlighting also potential solutions, in order to take a step closer to the definition of a unified MCS architectural framework
- …