Amin Anjomshoaa

A Cloud Repository and Discovery Framework Based on a Unified Business and Cloud Service Ontology

Cloud computing introduces a fundamental shift in service delivery. A market registry, flexibility, exchangeability and integration of services are important issues for its success. In this work we introduce a unified Cloud and business service ontology with querying capabilities. Our framework addresses two aspects: on the one hand it gives answer to leading question how we can structure the term Cloud computing (as a question of basic research) and how we can enable a matching between offered Cloud services and demand. It closes the gap how we can summarize and describe Cloud services in a standardized way. On the other hand, it particularly addresses the demand for flexibility and exchangeability by the Cloud Computing paradigm and can serves as a repository of services.

SAMOA - A Semi-Automated Ontology Alignment Method for Systems Integration in Safety-Critical Environments

The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identify similarities between heterogeneous ontologies and to automatically create suitable mappings for transformation. However, the usage of standard OA approach for safety-critical domains needs further investigation.In this paper, we describe a semi-automated ontology alignment approach (SAMOA) well-suitable for integration scenarios of safety-critical applications. The major contribution of our approach is the modeling differentiation between individual system knowledge and generic domain-specific knowledge.We evaluate our approach by providing a typical use case example from the Air Traffic Management (ATM) domain. In addition we analyze to what extent the SAMOA approach can be supported by state-of-the-art OA approaches.

A Smart Indoor Navigation Solution Based on Building Information Model and Google Android

There are many types of indoor and outdoor navigation tools and methodologies available. A majority of these solutions are based on Global Positioning Systems (GPS) and instant video and image processing. These approaches are ideal for open world environments where very few information about the target location is available, but for large scale building environments such as hospitals, governmental offices, etc the end-user will need more detailed information about the surrounding context which is especially important in case of people with special needs. This paper presents a smart indoor navigation solution that is based on Semantic Web technologies and Building Information Model (BIM). The proposed solution is also aligned with Google Androids concepts to enlighten the realization of results.

Privacy Aspects of Mashup Architecture

Evolution of Web 2.0 applications has changed the outlook of business models and companies. Organizations need to rethink their communication, marketing and sale channels and how their employees and customers interact together internally and externally. Following this new trend, they also need to adopt their IT infrastructure and enhance their online presence and services in order to stay competitive in their businesses. Through this technological transition to Web 2.0 paradigm new security and privacy issues arise which should be taken into consideration to protect the whole Rich Internet Application (RIA) components. Web 2.0 has also introduced new possibilities for a better human computer interaction via rich internet applications such as Mashups that provide a user-driven micro-integration of web-accessible data. At the moment Mashups are mainly used for less important tasks such as customized queries and map-based visualizations; however they have the potential to be used for more fundamental, complex and sophisticated tasks in combination with business processes. In this paper, the security and privacy aspects of Mashup Architecture and some existing challenges will be discussed in more details.

Proposing a context-aware enterprise mashup readiness assessment framework

Web mashups have received a lot of attention recently as more enterprises are engaged in enterprise 2.0 initiatives. So far, there is insufficient research on the adoption and diffusion of Web mashups in an enterprise context. In this paper, we discussed the benefits and issues associated with enterprise mashups. We proposed a context-aware enterprise mashup readiness assessment framework to help enterprise managers and decision makers determine their needs and readiness for enterprise mashups. A case study was conducted to verify the usefulness of the proposed framework. The results show that our work can be used to guide enterprises with their decision making for the adoption of enterprise mashups and thus contribute to the development of a rigorous strategy for enterprise mashup adoption, development and diffusion.

Linked Widgets: An Approach to Exploit Open Government Data

More and more governments publish Open Government Data (OGD) for their citizens, which receives great interest; because they are not only covering many domains, but also are meaningful and trustful. Since the data are not ready to be linked to other sources, some governments have started to follow the Linked Open Data paradigm as a mean to improve data quality. However, exploiting Linked Data is still a challenging task, which requires a profound understanding of underlying datasets, as well as considerable technical expertise. In this paper, we present an approach to remove the barrier between end users and Linked Data generally, and Open Government Linked Data particularly.

Combining and integrating advanced IT-concepts with semantic web technology mashups architecture case study

Even though Semantic Web technologies have flourished consistently in the past few years, it is unlikely to achieve the Semantic Web goals on the global Web in near future. The initial expectations such as turning the World Wide Web to a machine-comprehendible medium are far away from realization. The best proof of this is a look at the current status of World Wide Web and small percentage of websites and services that are Semantically-enabled. The main reason for this situation is that so far it is not easy to get people to learn and apply Semantic Web concepts for their Web content and use them efficiently in their daily life. In this context advanced IT concepts such as Mashups can support Semantic Web goals and at the same time Semantic Web technologies can also improve computer-to-computer and human-to-computer interactions in enterprise systems. In this paper the two-way support of advanced IT and Semantic Web is explored and a novel approach for advancing the power of web forms is presented.

Exploitation of Semantic Web Technology in ERP Systems

Until recently existing technologies enabling the integration of enterprise systems, use very few of the capabilities of modern research. For example, the activity of finding services, which should deliver expected enterprise functionality, has to be driven by humans. The process of assembling pieces of functionality into complex business processes also involves human interaction. The semantic web technology can be used in the context of an ERP to enable the lacking automation process. This technology can significantly contribute to overcome the deficiencies rooting from the heterogeneity of information contents and semantics generated from various sources. A challenge in Enterprise Information System is the detailed capture of activities and process information. The semantic integration of Personal Information Management Systems could be regarded as a first step towards the modernization of ERP applications. We also describe the opportunities of significantly improving business security by using ontologies. The use of ontology concepts of the Semantic Web can be regarded as an essential step in the evolution of Service Oriented Architectures for ERP applications.

Towards an Ontology-based Risk Assessment in Collaborative Environment Using the SemanticLIFE

The rise in interconnectivity in the last few years has made computer systems and networks more vulnerable to threats as they are accessed by an ever increasing number of users. Nowadays organizations are lacking proper security measures and means to calculate risk assessment for their assets. Legacy systems in organizations are facing different kind of risks like viruses, bugs and system failure causing damages to hardware and software resulting in data loss. The ultimate challenge in many organizations is to assess their risk factors for their computers and networks. There is no way to completely overcome the threat that an organization might have. The goal is to calculate risks, so that problems resulting from them could be minimized and to fill the gap between business entities (like a project, a role) and organization infrastructure using semantic Web technologies. SemanticLIFE is a personal information management system which gathers the user interaction events and correlates those by using ontologies. In this paper the ontology-based risk assessment in the context of the organizational security, a fundamental issue for planners and decision makers in the IT field, is explored using SemanticLIFE tool

Widget-based Exploration of Linked Statistical Data Spaces

Today, public statistical data plays an increasingly important role both in public policy formation and as a facilitator for informed decision-making in the private sector. In line with to the increasing adoption of open data policies, the amount of data published by governments and organizations on the web is growing rapidly. To make such data more useful, the W3C has developed the RDF Data Cube Vocabulary to facilitate the publication of data in a more structured and interlinked manner. Although important first steps toward building a web of statistical linked datasets have been made, however, providing adequate facilities for end users to interactively explore and make use of the published data largely remains an unresolved challenge. This paper presents a widget-based approach to deal with this issue. In particular, we introduce a mashup platform that allows users without advanced skills and knowledge of Semantic Web technologies to interactively analyze datasets through widget compositions and visualizations. Furthermore, we provide mechanisms for the interconnection of datasets to support sophisticated knowledge extraction.