Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.1
2.8
Journals
Future Internet
Special Issues
Semantic Interoperability and Knowledge Building
share announcement

Semantic Interoperability and Knowledge Building

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (15 June 2012) | Viewed by 70147

Special Issue Editor

Dr. Salvatore Flavio Pileggi

E-Mail
Guest Editor
Polytechnic University of Valencia, Camino de Vera, 46022 Valencia, Spain
Interests: semantic technologies; grid/cloud computing; sensor networks; ambient intelligence; software engineering.

Special Issue Information

Dear Colleagues,

The Semantic Web would be an evolving extension of current Web model (referred as Syntactic Web) that introduces a semantic layer in which semantics, or meaning of information, are formally defined. Semantics should integrate web-centric standard information infrastructures improving several aspects of interaction among heterogeneous systems: semantic interoperability would improve common interoperability models (basic and functional interoperability) introducing the interpretation of means of data. Semantic interoperability is a concretely applicable interaction model under the assumption of adopting rich data models (commonly called Ontology) composed of concepts within a domain and the relationships among those concepts.

Semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors but it is implicitly resident in the knowledge model. In other words, schemas contain information and the “code” to interpret it. They are providing a new understanding of knowledge representation.

This special issue also publishes an extended version of selected contributions from the IWSI (International Workshop on Semantic Interoperability, http://www.icaart.org/workshops.asp#IWSI) and SSW (Semantic Sensor Web, http://www.ic3k.org/SSW.asp) workshops.

Dr. Salvatore Flavio Pileggi
Guest Editor

Keywords

  • modeling and representation of knowledge
  • ontology development
  • Semantic web
  • Semantic systems and applications
  • Semantic technologies
  • Semantic agents and services
  • Semantic interaction
  • Semantic interoperable architectures and middlewares
  • Semantic sensor web
  • Semantic analysis and modeling of domains

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (7 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Editorial

Jump to: Research

502 KiB  
Editorial
When the Social Meets the Semantic: Social Semantic Web or Web 2.5
by Salvatore F. Pileggi, Carlos Fernandez-Llatas and Vicente Traver
Future Internet 2012, 4(3), 852-864; https://doi.org/10.3390/fi4030852 - 21 Sep 2012
Cited by 22 | Viewed by 16565
Abstract
The social trend is progressively becoming the key feature of current Web understanding (Web 2.0). This trend appears irrepressible as millions of users, directly or indirectly connected through social networks, are able to share and exchange any kind of content, information, feeling or [...] Read more.
The social trend is progressively becoming the key feature of current Web understanding (Web 2.0). This trend appears irrepressible as millions of users, directly or indirectly connected through social networks, are able to share and exchange any kind of content, information, feeling or experience. Social interactions radically changed the user approach. Furthermore, the socialization of content around social objects provides new unexplored commercial marketplaces and business opportunities. On the other hand, the progressive evolution of the web towards the Semantic Web (or Web 3.0) provides a formal representation of knowledge based on the meaning of data. When the social meets semantics, the social intelligence can be formed in the context of a semantic environment in which user and community profiles as well as any kind of interaction is semantically represented (Semantic Social Web). This paper first provides a conceptual analysis of the second and third version of the Web model. That discussion is aimed at the definition of a middle concept (Web 2.5) resulting in the convergence and integration of key features from the current and next generation Web. The Semantic Social Web (Web 2.5) has a clear theoretical meaning, understood as the bridge between the overused Web 2.0 and the not yet mature Semantic Web (Web 3.0). Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Graphical abstract

Research

Jump to: Editorial

1958 KiB  
Article
Semantic Legal Policies for Data Exchange and Protection across Super-Peer Domains in the Cloud
by Yuh-Jong Hu, Win-Nan Wu, Kua-Ping Cheng and Ya-Ling Huang
Future Internet 2012, 4(4), 929-954; https://doi.org/10.3390/fi4040929 - 25 Oct 2012
Cited by 2 | Viewed by 7977
Abstract
In semantic policy infrastructure, a Trusted Legal Domain (TLD), designated as a Super-Peer Domain (SPD), is a legal cage model used to circumscribe the legal virtual boundary of data disclosure and usage in the cloud. Semantic legal policies in compliance with the law [...] Read more.
In semantic policy infrastructure, a Trusted Legal Domain (TLD), designated as a Super-Peer Domain (SPD), is a legal cage model used to circumscribe the legal virtual boundary of data disclosure and usage in the cloud. Semantic legal policies in compliance with the law are enforced at the super-peer within an SPD to enable Law-as-a-Service (LaaS) for cloud service providers. In addition, cloud users could query fragmented but protected outsourcing cloud data from a law-aware super-peer, where each query is also compliant with the law. Semantic legal policies are logic-based formal policies, which are shown to be a combination of OWL-DL ontologies and stratified Datalog rules with negation, i.e., so-called non-monotonic cq-programs, for policy representation and enforcement. An agent at the super-peer is a unique law-aware guardian that provides protected data integration services for its peers within an SPD. Furthermore, agents at the super-peers specify how law-compliant legal policies are unified with each other to provide protected data exchange services across SPDs in the semantic data cloud. Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Figure 1

295 KiB  
Article
Plausible Description Logic Programs for Stream Reasoning
by Adrian Groza and Ioan Alfred Letia
Future Internet 2012, 4(4), 865-881; https://doi.org/10.3390/fi4040865 - 17 Oct 2012
Cited by 5 | Viewed by 7403
Abstract
Sensor networks are estimated to drive the formation of the future Internet, with stream reasoning responsible for analysing sensor data. Stream reasoning is defined as real time logical reasoning on large, noisy, heterogeneous data streams, aiming to support the decision process of large [...] Read more.
Sensor networks are estimated to drive the formation of the future Internet, with stream reasoning responsible for analysing sensor data. Stream reasoning is defined as real time logical reasoning on large, noisy, heterogeneous data streams, aiming to support the decision process of large numbers of concurrent querying agents. In this research we exploited non-monotonic rule-based systems for handling inconsistent or incomplete information and also ontologies to deal with heterogeneity. Data is aggregated from distributed streams in real time and plausible rules fire when new data is available. The advantages of lazy evaluation on data streams were investigated in this study, with the help of a prototype developed in Haskell. Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Figure 1

1003 KiB  
Article
Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry
by Khalil Riad Bouzidi, Bruno Fies, Catherine Faron-Zucker, Alain Zarli and Nhan Le Thanh
Future Internet 2012, 4(3), 830-851; https://doi.org/10.3390/fi4030830 - 11 Sep 2012
Cited by 20 | Viewed by 9550
Abstract
Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area, covering products, components and project implementations. They also play an important role in ensuring the quality of a building, and to minimize its environmental impact. Control or [...] Read more.
Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area, covering products, components and project implementations. They also play an important role in ensuring the quality of a building, and to minimize its environmental impact. Control or conformance checking are becoming more complex every day, not only for industrials, but also for organizations charged with assessing the conformity of new products or processes. This paper will detail the approach taken by the CSTB (Centre Scientifique et Technique du Bâtiment) in order to simplify this conformance control task. The approach and the proposed solutions are based on semantic web technologies. For this purpose, we first establish a domain-ontology, which defines the main concepts involved and the relationships, including one based on OWL (Web Ontology Language) [1]. We rely on SBVR (Semantics of Business Vocabulary and Business Rules) [2] and SPARQL (SPARQL Protocol and RDF Query Language) [3] to reformulate the regulatory requirements written in natural language, respectively, in a controlled and formal language. We then structure our control process based on expert practices. Each elementary control step is defined as a SPARQL query and assembled into complex control processes “on demand”, according to the component tested and its semantic definition. Finally, we represent in RDF (Resource Description Framework) [4] the association between the SBVR rules and SPARQL queries representing the same regulatory constraints. Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Figure 1

316 KiB  
Article
Semantic Observation Integration
by Sven Schade, Frank Ostermann, Laura Spinsanti and Werner Kuhn
Future Internet 2012, 4(3), 807-829; https://doi.org/10.3390/fi4030807 - 3 Sep 2012
Cited by 9 | Viewed by 8634
Abstract
Although the integration of sensor-based information into analysis and decision making has been a research topic for many years, semantic interoperability has not yet been reached. The advent of user-generated content for the geospatial domain, Volunteered Geographic Information (VGI), makes it even more [...] Read more.
Although the integration of sensor-based information into analysis and decision making has been a research topic for many years, semantic interoperability has not yet been reached. The advent of user-generated content for the geospatial domain, Volunteered Geographic Information (VGI), makes it even more difficult to establish semantic integration. This paper proposes a novel approach to integrating conventional sensor information and VGI, which is exploited in the context of detecting forest fires. In contrast to common logic-based semantic descriptions, we present a formal system using algebraic specifications to unambiguously describe the processing steps from natural phenomena to value-added information. A generic ontology of observations is extended and profiled for forest fire detection in order to illustrate how the sensing process, and transformations between heterogeneous sensing systems, can be represented as mathematical functions and grouped into abstract data types. We discuss the required ontological commitments and a possible generalization. Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Figure 1

1523 KiB  
Article
Towards Annotopia—Enabling the Semantic Interoperability of Web-Based Annotations
by Jane Hunter and Anna Gerber
Future Internet 2012, 4(3), 788-806; https://doi.org/10.3390/fi4030788 - 30 Aug 2012
Cited by 2 | Viewed by 8768
Abstract
This paper describes the results of a collaborative effort that has reconciled the Open Annotation Collaboration (OAC) ontology and the Annotation Ontology (AO) to produce a merged data model [the Open Annotation (OA) data model] to describe Web-based annotations—and hence facilitate the discovery, [...] Read more.
This paper describes the results of a collaborative effort that has reconciled the Open Annotation Collaboration (OAC) ontology and the Annotation Ontology (AO) to produce a merged data model [the Open Annotation (OA) data model] to describe Web-based annotations—and hence facilitate the discovery, sharing and re-use of such annotations. Using a number of case studies that include digital scholarly editing, 3D museum artifacts and sensor data streams, we evaluate the OA model’s capabilities. We also describe our implementation of an online annotation server that supports the storage, search and retrieval of OA-compliant annotations across multiple applications and disciplines. Finally we discuss outstanding problem issues associated with the OA ontology, and the impact that certain design decisions have had on the efficient storage, indexing, search and retrieval of complex structured annotations. Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Figure 1

1201 KiB  
Article
Context-Based Orchestration for Control of Resource-Efficient Manufacturing Processes
by Matthias Loskyll, Ines Heck, Jochen Schlick and Michael Schwarz
Future Internet 2012, 4(3), 737-761; https://doi.org/10.3390/fi4030737 - 14 Aug 2012
Cited by 47 | Viewed by 10539
Abstract
The increasing competition between manufacturers, the shortening of innovation cycles and the growing importance of resource-efficient manufacturing demand a higher versatility of factory automation. Service-oriented approaches depict a promising possibility to realize new control architectures by encapsulating the functionality of mechatronic devices into [...] Read more.
The increasing competition between manufacturers, the shortening of innovation cycles and the growing importance of resource-efficient manufacturing demand a higher versatility of factory automation. Service-oriented approaches depict a promising possibility to realize new control architectures by encapsulating the functionality of mechatronic devices into services. An efficient discovery, context-based selection and dynamic orchestration of these services are the key features for the creation of highly adaptable manufacturing processes. We describe a semantic service discovery and ad-hoc orchestration system, which is able to react to new process variants and changed contextual information (e.g., failure of field devices, requirements on the consumption of resources). Because a standardized vocabulary, especially for the description of mechatronic functionalities, is still missing in the manufacturing domain, the semantic description of services, processes and manufacturing plants as well as the semantic interpretation of contextual information play an important part. Full article
(This article belongs to the Special Issue Semantic Interoperability and Knowledge Building)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-7
Back to TopTop