scholarly journals Challenges and Opportunities in Applying Semantics to Improve Access Control in the Field of Internet of Things

2018 ◽  
Vol 21 (2) ◽  
pp. 66
Author(s):  
Riste Stojanov ◽  
Vladimir Zdraveski ◽  
Dimitar Trajanov

The increased number of IoT devices results in continuously generated massive amounts of raw data. Parts of this data are private and highly sensitive as they reflect owner’s behavior, obligations, habits, and preferences. In this paper, we point out that flexible and comprehensive access control policies are “a must” in the IoT domain. The Semantic Web technologies can address many of the challenges that the IoT access control is facing with today. Therefore, we analyze the current state of the art in this area and identify the challenges and opportunities for improved access control in a semantically enriched IoT environment. Applying semantics to IoT access control opens a lot of opportunities, such as semantic inference and reasoning, easy data sharing, data trading, new approaches to authentication, security policies based on a natural language and enhances the interoperability using a common ontology.

Author(s):  
Jian Li ◽  
William K. Cheung

Semantic Web technologies allow on-line resources to be semantically annotated to support more effective and intelligent online services. However, ontologies sometimes may contain sensitive information. Providing access to them requires proper control to ensure the data protection requirement. Yet, the protection should not be too restrictive to make the access management inflexible. While there has been recent work on policy-based access control, in this paper, the authors present a policy representation specifically for access control on ontology-based data and explain how issues like policy propagation and policy conflict resolution are addressed. The authors present bucket-based query rewriting algorithms for realizing the access control policies to avoid sensitive resources leakage in the context of the Semantic Web. The authors validate the correctness of the proposed mechanisms by going through some illustrative examples in detail.


Author(s):  
Jian Li ◽  
William K. Cheung

Semantic Web technologies allow on-line resources to be semantically annotated to support more effective and intelligent online services. However, ontologies sometimes may contain sensitive information. Providing access to them requires proper control to ensure the data protection requirement. Yet, the protection should not be too restrictive to make the access management inflexible. While there has been recent work on policy-based access control, in this paper, the authors present a policy representation specifically for access control on ontology-based data and explain how issues like policy propagation and policy conflict resolution are addressed. The authors present bucket-based query rewriting algorithms for realizing the access control policies to avoid sensitive resources leakage in the context of the Semantic Web. The authors validate the correctness of the proposed mechanisms by going through some illustrative examples in detail.


Author(s):  
Jian Li ◽  
William K. Cheung

Semantic Web technologies allow on-line resources to be semantically annotated to support more effective and intelligent online services. However, ontologies sometimes may contain sensitive information. Providing access to them requires proper control to ensure the data protection requirement. Yet, the protection should not be too restrictive to make the access management inflexible. While there has been recent work on policy-based access control, in this paper, the authors present a policy representation specifically for access control on ontology-based data and explain how issues like policy propagation and policy conflict resolution are addressed. The authors present bucket-based query rewriting algorithms for realizing the access control policies to avoid sensitive resources leakage in the context of the Semantic Web. The authors validate the correctness of the proposed mechanisms by going through some illustrative examples in detail.


Author(s):  
Eugenia I. Papagiannakopoulou ◽  
Maria N. Koukovini ◽  
Georgios V. Lioudakis ◽  
Nikolaos L. Dellas ◽  
Dimitra I. Kaklamani ◽  
...  

Author(s):  
Amrapali Zaveri ◽  
Andrea Maurino ◽  
Laure-Berti Equille

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Data (LD). However, the “publish first, refine later” philosophy leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and semantic ambiguities. In this article, we describe the current state of Data Quality in the Web of Data along with details of the three papers accepted for the International Journal on Semantic Web and Information Systems' (IJSWIS) Special Issue on Web Data Quality. Additionally, we identify new challenges that are specific to the Web of Data and provide insights into the current progress and future directions for each of those challenges.


Author(s):  
Yolanda Blanco-Fernández ◽  
Jose J. Pazos-Arias ◽  
Alberto Gil-Solla ◽  
Manuel Ramos-Cabrer ◽  
Martín López-Nores

The digital TV (DTV) will bring a significant increase in the number of channels and programs available to end users, with many more difficulties for them to find interesting programs among a myriad of irrelevant contents. So, automatic content recommenders should receive special attention in the following years to improve the assistance to users. However, current techniques of content recommenders have important well-known deficiencies, which complicates their wide acceptance. In this paper, a new hybrid approach for automatic TV content recommendation is proposed based on the so-called Semantic Web technologies, that significantly reduces those deficiencies. The strategy uses ontology data structures as a formal representation both for contents and users’ profiles. The approach has been implemented in the AdVAnced Telematics search of Audiovisual contents by semantic Reasoning (AVATAR) tool, a new TV recommender system that makes extensive use of well-known standards, such as TV-Anytime and Web ontology language (OWL). Also, an illustrative example of the kind of reasoning carried out by AVATAR is included, as well as an experimental evaluation of the performance achieved.


Author(s):  
João Vieira ◽  
Pedro Isaías

The Web 3.0 has revolutionized the Internet in the last years and its benefits are still being studied. The way that websites are being developed is also changing because of this Web evolution, giving to Web developers new technologies where computers can better understand and give meaning to content. This chapter presents an overview of technologies considered to be included on the Web 3.0 concept. The main objective of the chapter is to introduce a conceptual framework of Web 3.0, or Semantic Web, technologies that can be used for developing a website. This review of literature introduces the evolution of each of the technologies mentioned, as well as their functions. Some examples and opportunities for use are also presented. The chapter offers a current state-of-the-art and an opportunity for future relevant research in the Web development area.


Author(s):  
João Vieira ◽  
Pedro Isaías

The Web 3.0 has revolutionized the Internet in the last years and its benefits are still being studied. The way that websites are being developed is also changing because of this Web evolution, giving to Web developers new technologies where computers can better understand and give meaning to content. This chapter presents an overview of technologies considered to be included on the Web 3.0 concept. The main objective of the chapter is to introduce a conceptual framework of Web 3.0, or Semantic Web, technologies that can be used for developing a website. This review of literature introduces the evolution of each of the technologies mentioned, as well as their functions. Some examples and opportunities for use are also presented. The chapter offers a current state-of-the-art and an opportunity for future relevant research in the Web development area.


Author(s):  
YOLANDA BLANCO FERNÁNDEZ ◽  
JOSÉ J. PAZOS ARIAS ◽  
ALBERTO GIL SOLLA ◽  
MANUEL RAMOS CABRER ◽  
MARTÍN LÓPEZ NORES ◽  
...  

The generalized arrival of Digital TV will lead to a significant increase in the amount of channels and programs available to end users, making it difficult to find interesting programs among a myriad of irrelevant contents. Thus, in this field, automatic content recommenders should receive special attention in the following years to improve assistance to users. Current approaches of content recommenders have significant well-known deficiencies that hamper their wide acceptance. In this paper, a new approach for automatic content recommendation is presented that considerably reduces those deficiencies. This approach, based on the so-called Semantic Web technologies, has been implemented in the AVATAR tool, a hybrid content recommender that makes extensive use of well-known standards, such as TV-Anytime and OWL. Our proposal has been evaluated experimentally with real users, showing significant increases in the recommendation accuracy with respect to other existing approaches.


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