Special Issue "Semantic Interoperability and Knowledge Building"

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

Deadline for manuscript submissions: closed (15 June 2012)

Special Issue Editor

Guest Editor
Dr. Salvatore Flavio Pileggi

Polytechnic University of Valencia, Camino de Vera, 46022 Valencia, Spain
E-Mail
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

Published Papers (7 papers)

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Editorial

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Open AccessEditorial When the Social Meets the Semantic: Social Semantic Web or Web 2.5
Future Internet 2012, 4(3), 852-864; doi:10.3390/fi4030852
Received: 30 May 2012 / Revised: 28 June 2012 / Accepted: 7 September 2012 / Published: 21 September 2012
Cited by 4 | PDF Full-text (502 KB) | HTML Full-text | XML Full-text
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
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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)
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Research

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Open AccessArticle Semantic Legal Policies for Data Exchange and Protection across Super-Peer Domains in the Cloud
Future Internet 2012, 4(4), 929-954; doi:10.3390/fi4040929
Received: 21 September 2012 / Revised: 13 October 2012 / Accepted: 17 October 2012 / Published: 25 October 2012
Cited by 1 | PDF Full-text (1958 KB) | HTML Full-text | XML Full-text
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
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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)
Open AccessArticle Plausible Description Logic Programs for Stream Reasoning
Future Internet 2012, 4(4), 865-881; doi:10.3390/fi4040865
Received: 9 August 2012 / Revised: 9 September 2012 / Accepted: 25 September 2012 / Published: 17 October 2012
Cited by 1 | PDF Full-text (295 KB) | HTML Full-text | XML Full-text
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
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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)
Open AccessArticle Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry
Future Internet 2012, 4(3), 830-851; doi:10.3390/fi4030830
Received: 6 July 2012 / Revised: 23 August 2012 / Accepted: 27 August 2012 / Published: 11 September 2012
Cited by 3 | PDF Full-text (1003 KB) | HTML Full-text | XML Full-text
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
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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)
Open AccessArticle Semantic Observation Integration
Future Internet 2012, 4(3), 807-829; doi:10.3390/fi4030807
Received: 18 June 2012 / Revised: 6 August 2012 / Accepted: 21 August 2012 / Published: 3 September 2012
Cited by 3 | PDF Full-text (316 KB) | HTML Full-text | XML Full-text
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
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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)
Open AccessArticle Towards Annotopia—Enabling the Semantic Interoperability of Web-Based Annotations
Future Internet 2012, 4(3), 788-806; doi:10.3390/fi4030788
Received: 21 June 2012 / Revised: 7 August 2012 / Accepted: 24 August 2012 / Published: 30 August 2012
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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,
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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)
Open AccessArticle Context-Based Orchestration for Control of Resource-Efficient Manufacturing Processes
Future Internet 2012, 4(3), 737-761; doi:10.3390/fi4030737
Received: 18 June 2012 / Revised: 31 July 2012 / Accepted: 9 August 2012 / Published: 14 August 2012
Cited by 11 | PDF Full-text (1201 KB) | HTML Full-text | XML Full-text
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
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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)

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