Semantic web technologies for video surveillance metadata

Video surveillance systems are growing in size and complexity. Such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality, and enhanced visual interfaces. Within a surveillance system, relevant information (like technical details on the video sequences, or analysis results of the monitored environment) is described using metadata standards. However, different modules typically use different standards, resulting in metadata interoperability problems. In this paper, we introduce the application of Semantic Web Technologies to overcome such problems. We present a semantic, layered metadata model and integrate it within a video surveillance system. Besides dealing with the metadata interoperability problem, the advantages of using Semantic Web Technologies and the inherent rule support are shown. A practical use case scenario is presented to illustrate the benefits of our novel approach

Multimedia Annotation Interoperability Framework

Multimedia systems typically contain digital documents of mixed media types, which are indexed on the basis of strongly divergent metadata standards. This severely hamplers the inter-operation of such systems. Therefore, machine understanding of metadata comming from different applications is a basic requirement for the inter-operation of distributed Multimedia systems. In this document, we present how interoperability among metadata, vocabularies/ontologies and services is enhanced using Semantic Web technologies. In addition, it provides guidelines for semantic interoperability, illustrated by use cases. Finally, it presents an overview of the most commonly used metadata standards and tools, and provides the general research direction for semantic interoperability using Semantic Web technologies

From anarchy to good practice: the evolution of standards in archaeological computing

This paper reviews the importance of standards in archaeological computing and traces their development, and the tensions surrounding their deployment. Three categories of standards are defined: technical, content and metadata standards. Standards are shown to be particularly important to current initiatives which seek to achieve interoperability between distributed electronic resources. If we are to achieve the potential advantages of a semantic web for heritage data over traditional search engine technologies, standards are essential. The paper introduces the Archaeotools project, which is seeking to create a faceted browse interface to archaeological resources. It concludes that data standards and ontologies are essential to the success of such projects

The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation

Background. 
The complexity and inter-related nature of biological data poses a difficult challenge for data and tool integration. There has been a proliferation of interoperability standards and projects over the past decade, none of which has been widely adopted by the bioinformatics community. Recent attempts have focused on the use of semantics to assist integration, and Semantic Web technologies are being welcomed by this community.

Description. 
SADI – Semantic Automated Discovery and Integration – is a lightweight set of fully standards-compliant Semantic Web service design patterns that simplify the publication of services of the type commonly found in bioinformatics and other scientific domains. Using Semantic Web technologies at every level of the Web services “stack”, SADI services consume and produce instances of OWL Classes following a small number of very straightforward best-practices. In addition, we provide codebases that support these best-practices, and plug-in tools to popular developer and client software that dramatically simplify deployment of services by providers, and the discovery and utilization of those services by their consumers.

Conclusions.
SADI Services are fully compliant with, and utilize only foundational Web standards; are simple to create and maintain for service providers; and can be discovered and utilized in a very intuitive way by biologist end-users. In addition, the SADI design patterns significantly improve the ability of software to automatically discover appropriate services based on user-needs, and automatically chain these into complex analytical workflows. We show that, when resources are exposed through SADI, data compliant with a given ontological model can be automatically gathered, or generated, from these distributed, non-coordinating resources - a behavior we have not observed in any other Semantic system. Finally, we show that, using SADI, data dynamically generated from Web services can be explored in a manner very similar to data housed in static triple-stores, thus facilitating the intersection of Web services and Semantic Web technologies

Knowledge Integration to Overcome Ontological Heterogeneity: Challenges from Financial Information Systems

The shift towards global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and web data sources. In particular, we focus on the importance of this capability and technologies we have designed to overcome ontological heterogeneity, a common type of disparity in financial information systems. Our approach to representing and reasoning with ontological heterogeneities in data sources is an extension of the Context Interchange (COIN) framework, a mediator-based approach for achieving semantic interoperability among heterogeneous sources and receivers. We also analyze the issue of ontological heterogeneity in the context of source-selection, and offer a declarative solution that combines symbolic solvers and mixed integer programming techniques in a constraint logic-programming framework. Finally, we discuss how these techniques can be coupled with emerging Semantic Web related technologies and standards such as Web-Services, DAML+OIL, and RuleML, to offer scalable solutions for global semantic interoperability. We believe that the synergy of database integration and Semantic Web research can make significant contributions to the financial knowledge integration problem, which has implications in financial services, and many other e-business tasks.Singapore-MIT Alliance (SMA

OntoTag: XML/RDF(S)/OWL Semantic Web Page Annotation in ContentWeb

As the Semantic Web and the Language Resources research fields become closer, the need for standard representation formats and languages gets clearer, specially taking into account the increasing need for cooperation and interoperability between both fields that is being set forth. The purpose of this paper is to present how this process of standardisation and integration is being achieved in ContentWeb by means of OntoTag, a multi-level (also multi-purpose and possibly multi-language) hybrid (ontologic and linguistic) platform for Semantic Web annotation, designed according to EAGLES standards and implemented with last generation Semantic Web languages (XML/ RDF(S)/OWL)

Combining Multiple Web Accessibility Evaluation Reports using Semantic Web Technologies

This paper describes a process for automatic combination of testing reports for the accessibility of Web applications, obtained by different testing tools and applying different standards on Web accessibility. Interoperability is guaranteed using semantic Web technologies, which allow describing the reports by RDF (Resource Description Framework) triples. The reports refer to elements of a knowledge base consisting of vocabularies, ontologies and rules of inference, in which the conceptual relations between accessibility standards, as WCAG (Web Content Accessibility Guidelines) or Section 508 among others, are formalized previously. A software prototype that uses the Apache Jena framework for implementing the process is presented

Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems

Dissertation presented to obtain the Ph.D degree in BioinformaticsThe data deluge in biology resulting from wide adoption of highthroughput technologies, coupled with the increasing reliance on web technologies for knowledge organization, sharing and discovery, has created unprecedented opportunities, and challenges, for knowledge engineering in Life Sciences domains. The Semantic Web technologies correspond to a set of standards and best practices for improving data sharing and interoperability on the Web that can greatly advance research in data-driven sciences such as translational medicine and systems biology. Current Semantic Web approaches for addressing those challenges have either relied on automatically formatting biological data sources as RDF (Resource Description Framework), the lingua franca of the Semantic Web, or in the development of bio-{)ntologies. Albeit the significant integrative advances that those represent, wide adoption of Semantic Web technologies by the communities acquiring and modeling experimental biological data has remained suboptimal.(...