‘Intelligent Context' for Personalized Mobile Learning

2010 ◽  
pp. 236-270 ◽  
Author(s):  
Philip Moore ◽  
Bin Hu ◽  
Mike Jackson ◽  
Jizheng Wan
Keyword(s):  
Contextual Information ◽  
Mobile Technologies ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Context Reasoning ◽  
Educational Provision ◽  
Context Modelling ◽  
Systems Identification ◽  
Research Questions

There have been significant developments in higher education resulting in interest in personalised educational provision. Concomitant with these changes is the evolving capability and ubiquity of mobile technologies. To facilitate personalisation and leverage the power of mobile technologies in mobile pedagogic systems identification of individuals is a prerequisite; this can be achieved using an individual’s profile (termed context). This chapter considers the background to context with related research. Context modelling, the processing of contextual information, context matching and the context matching algorithm, ontology, and the Semantic Web technologies are introduced. Context reasoning and inference in rule-based systems is considered and the context reasoning ontology is presented with scenario-based evaluation. The chapter concludes with a discussion, consideration of future research, and open research questions.

Data Confidentiality on the Semantic Web

2008 ◽  
pp. 3309-3320
Author(s):  
Csilla Farkas
Keyword(s):  
Semantic Web ◽  
Formal Semantics ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Inference Problem ◽  
Web Technologies ◽  
Ontology Language ◽  
Future Research Directions ◽  
Description Framework ◽  
Resource Description

This chapter investigates the threat of unwanted Semantic Web inferences. We survey the current efforts to detect and remove unwanted inferences, identify research gaps, and recommend future research directions. We begin with a brief overview of Semantic Web technologies and reasoning methods, followed by a description of the inference problem in traditional databases. In the context of the Semantic Web, we study two types of inferences: (1) entailments defined by the formal semantics of the Resource Description Framework (RDF) and the RDF Schema (RDFS) and (2) inferences supported by semantic languages like the Web Ontology Language (OWL). We compare the Semantic Web inferences to the inferences studied in traditional databases. We show that the inference problem exists on the Semantic Web and that existing security methods do not fully prevent indirect data disclosure via inference channels.

Knowledge Management Portals for Empowering Citizens and Societies

2011 ◽  
pp. 42-63
Author(s):  
Hakikur Rahman
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Semantic Web ◽  
Emerging Technologies ◽  
Future Research ◽  
Common People ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Intellectual Content ◽  
Huge Data

Knowledge management is not a simple technology driven modus operandi, rather it is policy driven issue that is intermingled with technology, decision, management and intellectuality. Along this route, empowering common citizens utilizing knowledge development utilities is a challenge to the researchers and development practitioners. Furthermore, dissemination of intellectual content on the Web for public view, their understanding, capacity development, and specifically for being utilized as a tool to increase their social, educational, political and economic ability is by far the most difficult part of the system. The process complicates further, when emerging technologies are being adopted to provide the solution, especially for the common people of the community with their social and political implications. However, in recent years, knowledge management has become a new branch of system management for achieving breakthrough in entrepreneurship, social and governance performance synergizing people, process, technology and policy. At the same time, emerging technologies like, data mining are being utilized for carrying out intelligent decision among dispersed source of huge data. Semantic Web Technologies are also being incorporated in the decision making processes. This chapter is focusing on knowledge management issues for developing knowledge management portals to empower citizens and societies. In this context, the chapter introduced critical aspects of knowledge management perspectives, justified establishment of knowledge management portals acting as a tool of empowerment, provided insight on data mining as a technology of implementation, throws a solution by introducing Semantic Web Technologies as an essential technology for establishing knowledge management portals, puts forward contemporary challenges during the establishment of knowledge management portal, illustrated a few cases that are acting as knowledge management portals, and concluded before giving a few hints on future research issues for empowering common element of the society.

scholarly journals Context Modelling Using Semantic Web Technologies

2012 ◽  
Vol 21 (2) ◽  
Author(s):  
Hyosook Jung ◽  
Sujin Yoo ◽  
Seongbin Park
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Context Modelling

Interconnecting music repositories with semantic web technologies—an RDF- and schema.org-based approach

2020 ◽  
Author(s):  
Anna Neovesky ◽  
Frederic von Vlahovits
Keyword(s):  
Semantic Web ◽  
Research Data ◽  
Semantic Web Technologies ◽  
Metadata Standard ◽  
Web Technologies ◽  
Data Standard ◽  
Research Perspectives ◽  
Web Standards ◽  
Research Questions ◽  
New Research

Abstract The growing amount of openly available research data enables various possibilities of reuse. Data can be analyzed, visualized, or even further processed, enriched, and combined with other sources to enable new research questions and a different view on the material. Several catalogues and research tools aggregate collections on specific topics to make them searchable and reusable. To be able to bring together different collections, a common data standard is necessary. This article discusses how semantic web technologies can be used to connect digital as well as analogue music catalogues and music editions. The article first discusses how music can be searched using its characteristic melody and presents the approach of the open-source search engine for music incipits, IncipitSearch. Subsequently, the advantages of semantic web standards for musicology are highlighted. Then, the underlying RDF- and schema.org-based metadata standard, which is used to aggregate and distribute the data, is discussed. The article concludes with an outlook on research perspectives for digital musicology and musicology in general.

scholarly journals An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5435
Author(s):  
Jesus Ivan Rubio-Sandoval ◽  
Jose L. Martinez-Rodriguez ◽  
Ivan Lopez-Arevalo ◽  
Ana B. Rios-Alvarado ◽  
Adolfo Josue Rodriguez-Rodriguez ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Semantic Web ◽  
Tracking System ◽  
Contextual Information ◽  
Indoor Navigation ◽  
Navigation Systems ◽  
Semantic Web Technologies ◽  
Academic Environments ◽  
Web Technologies ◽  
Time Position

Indoor navigation systems incorporating augmented reality allow users to locate places within buildings and acquire more knowledge about their environment. However, although diverse works have been introduced with varied technologies, infrastructure, and functionalities, a standardization of the procedures for elaborating these systems has not been reached. Moreover, while systems usually handle contextual information of places in proprietary formats, a platform-independent model is desirable, which would encourage its access, updating, and management. This paper proposes a methodology for developing indoor navigation systems based on the integration of Augmented Reality and Semantic Web technologies to present navigation instructions and contextual information about the environment. It comprises four modules to define a spatial model, data management (supported by an ontology), positioning and navigation, and content visualization. A mobile application system was developed for testing the proposal in academic environments, modeling the structure, routes, and places of two buildings from independent institutions. The experiments cover distinct navigation tasks by participants in both scenarios, recording data such as navigation time, position tracking, system functionality, feedback (answering a survey), and a navigation comparison when the system is not used. The results demonstrate the system’s feasibility, where the participants show a positive interest in its functionalities.

scholarly journals EcoDaLo: Federating Advertisement Targeting with Linked Data

2020 ◽  
pp. 87-103
Author(s):  
Sven Lieber ◽  
Ben De Meester ◽  
Ruben Verborgh ◽  
Anastasia Dimou
Keyword(s):  
Future Research ◽  
Quality Traits ◽  
Global Media ◽  
High Quality ◽  
Semantic Web Technologies ◽  
Privacy Concerns ◽  
Web Technologies ◽  
Media Companies ◽  
The Media ◽  
Local Companies

Abstract A key source of revenue for the media and entertainment domain is ad targeting: serving advertisements to a select set of visitors based on various captured visitor traits. Compared to global media companies such as Google and Facebook that aggregate data from various sources (and the privacy concerns these aggregations bring), local companies only capture a small number of (high-quality) traits and retrieve an unbalanced small amount of revenue. To increase these local publishers’ competitive advantage, they need to join forces, whilst taking the visitors’ privacy concerns into account. The EcoDaLo consortium, located in Belgium and consisting of Adlogix, Pebble Media, and Roularta Media Group as founding partners, aims to combine local publishers’ data without requiring these partners to share this data across the consortium. Usage of Semantic Web technologies enables a decentralized approach where federated querying allows local companies to combine their captured visitor traits, and better target visitors, without aggregating all data. To increase potential uptake, technical complexity to join this consortium is kept minimal, and established technology is used where possible. This solution was showcased in Belgium which provided the participating partners valuable insights and suggests future research challenges. Perspectives are to enlarge the consortium and provide measurable impact in ad targeting to local publishers.

Data Confidentiality on the Semantic Web

2006 ◽  
pp. 73-90 ◽  
Author(s):  
Csilla Farkas
Keyword(s):  
Semantic Web ◽  
Formal Semantics ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Inference Problem ◽  
Web Technologies ◽  
Ontology Language ◽  
Future Research Directions ◽  
Description Framework ◽  
Resource Description

This chapter investigates the threat of unwanted Semantic Web inferences. We survey the current efforts to detect and remove unwanted inferences, identify research gaps, and recommend future research directions. We begin with a brief overview of Semantic Web technologies and reasoning methods, followed by a description of the inference problem in traditional databases. In the context of the Semantic Web, we study two types of inferences: (1) entailments defined by the formal semantics of the Resource Description Framework (RDF) and the RDF Schema (RDFS) and (2) inferences supported by semantic languages like the Web Ontology Language (OWL). We compare the Semantic Web inferences to the inferences studied in traditional databases. We show that the inference problem exists on the Semantic Web and that existing security methods do not fully prevent indirect data disclosure via inference channels.

LOWERING THE BARRIERS TO PARTICIPATION IN THE DEVELOPMENT OF HUMAN-ARTIFACT INTERACTION SYSTEMS

2008 ◽  
Vol 02 (04) ◽  
pp. 469-502 ◽  
Author(s):  
BIN GUO ◽  
SATORU SATAKE ◽  
MICHITA IMAI
Keyword(s):  
Ad Hoc ◽  
User Study ◽  
End Users ◽  
Computer Users ◽  
Semantic Web Technologies ◽  
Human Relationships ◽  
Web Technologies ◽  
Context Reasoning ◽  
Knowledge Infrastructure ◽  
Current Systems

The development of wireless sensor networks enables sensors to be embedded in everyday artifacts to create smart artifacts. Smart artifacts can deliver a variety of context-aware human-centric services. However, current systems mainly rely on ad-hoc definitions of context information, which makes it difficult to achieve knowledge sharing, reuse and reasoning. Moreover, smart-artifact applications developed by experts sometimes cannot meet end users' needs, but current systems do not allow end users to exert control over their smart homes. To avoid having to start from scratch when building new smart-artifact systems, and to empower experienced computer users to participate in the control of their smart environments, we developed a new knowledge infrastructure called Sixth-Sense. Unlike previous systems, Sixth-Sense builds on semantic web technologies. It defines a normalized ontology (called SS-ONT) using OWL. SS-ONT is focused on modeling general human-artifact interactions, and reflects several vital aspects of these interactions, such as artifact property and status description, and artifact-artifact and artifact-human relationships. Using this ontology model as a basis, we address some of the principles involved in performing context querying and context reasoning. An initial user study with 14 experienced computer users was conducted to determine the usability of our system. We also evaluate the runtime performance of our system and discuss some of the lessons learnt from the evaluation.

An Ontology-Based Context-Aware Infrastructure for Smart Homes

2011 ◽  
pp. 272-299 ◽  
Author(s):  
Bin Guo ◽  
Daqing Zhang ◽  
Michita Imai
Keyword(s):  
Semantic Web ◽  
Smart Homes ◽  
Context Aware ◽  
End User ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Context Reasoning ◽  
Series Of Experiments

A general infrastructure that can facilitate the development of context-aware applications in smart homes is proposed. Unlike previous systems, our system builds on semantic web technologies, and it particularly concerns the contexts from human-artifact interaction. A multi-levels’ design of our ontology (called SS-ONT) makes it possible to realize context sharing and end-user-oriented customization. Using this infrastructure as a basis, we address some of the principles involved in performing context querying and context reasoning. The performance of our system is evaluated through a series of experiments.

scholarly journals Semantic File Annotation and Retrieval on Mobile Devices

2011 ◽  
Vol 7 (2) ◽  
pp. 107-122 ◽  
Author(s):  
Sadaqat Jan ◽  
Maozhen Li ◽  
Ghaidaa Al-Sultany ◽  
Hamed Al-Raweshidy ◽  
Ibrar Ali Shah
Keyword(s):  
Semantic Web ◽  
Mobile Devices ◽  
User Satisfaction ◽  
Rapid Development ◽  
File Systems ◽  
Mobile Technologies ◽  
Mobile Environment ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
File Retrieval

The rapid development of mobile technologies has facilitated users to generate and store files on mobile devices such as mobile phones and PDAs. However, it has become a challenging issue for users to efficiently and effectively search for files of interest in a mobile environment involving a large number of mobile nodes. This paper presents SemFARM framework which facilitates users to publish, annotate and retrieve files which are geographically distributed in a mobile network enabled by Bluetooth. The SemFARM framework is built on semantic web technologies in support of file retrieval on low-end mobile devices. A generic ontology is developed which defines a number of keywords, their possible domains and properties. Based on semantic reasoning, similarity degrees are computed to match user queries with published file descriptions. The SemFARM prototype is implemented using the Java mobile platform (J2ME). The performance of SemFARM is evaluated from a number of aspects in comparison with traditional mobile file systems and enhanced alternatives. Experimental results are encouraging showing the effectiveness of SemFARM in file retrieval. We can conclude that the use of semantic web technologies have facilitated file retrieval in mobile computing environments maximizing user satisfaction in searching for files of interest.

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