Milan Segedinac

An OWL representation of the MLO model

Learning opportunities play an important role in the vision of curriculum favored by the Bologna Process. This paper proposes an ontology intended for representing learning opportunities. The ontology is designed in accordance with European standardized models addressing metadata sufficient for representing learning opportunities. Since the models are proposed as Dublin Core application profiles, the ontology has been implemented following a set of guidelines for expressing Dublin Core application profiles using OWL. Proposed ontology facilitates the introduction of Semantic Web technologies in the field of curriculum management, and will bi a start-point for the implementation of a Semantic Web application aimed at curriculum management.

Semantic integration of enterprise information systems using meta-metadata ontology

This paper proposes a non-domain-specific metadata ontology as a core component in a semantic model-based document management system (DMS), a potential contender towards the enterprise information systems of the next generation. What we developed is the core semantic component of an ontology-driven DMS, providing a robust semantic base for describing documents’ metadata. We also enabled semantic services such as automated semantic translation of metadata from one domain to another. The core semantic base consists of three semantic layers, each one serving a different view of documents’ metadata. The core semantic component’s base layer represents a non-domain-specific metadata ontology founded on ebRIM specification. The main purpose of this ontology is to serve as a meta-metadata ontology for other domain-specific metadata ontologies. The base semantic layer provides a generic metadata view. For the sake of enabling domain-specific views of documents’ metadata, we implemented two domain-specific metadata ontologies, semantically layered on top of ebRIM, serving domain-specific views of the metadata. In order to enable semantic translation of metadata from one domain to another, we established model-to-model mappings between these semantic layers by introducing SWRL rules. Having the semantic translation of metadata automated not only allows for effortless switching between different metadata views, but also opens the door for automating the process of documents long-term archiving. For the case study, we chose judicial domain as a promising ground for improving the efficiency of the judiciary by introducing the semantics in this field.

Semantic web based architecture for managing hardware heterogeneity in wireless sensor network

Wireless Sensor Networks (WSNs) are vivid and relatively new paradigm. Usually they are built for the specific purposes which, in the case of large systems of WSNs, can result in high hardware heterogeneity. In this paper we have proposed an ontology-based model aimed at resolving the hardware heterogeneity in large systems of WSNs, and the GLOSENT architecture that facilitates integration of heterogeneous WSNs. In addition, as a case study the concrete SN device SunSPOT is represented using proposed ontology.

Spatio-Temporal Localization of Agricultural Machinery Operations

The utilization of agricultural mechanization is crucial to its efficient exploitation that, in turn, significantly influences the entire agricultural economy as well as soil quality. Contemporary agricultural machines are GPS enabled, allowing localization and recording of their motion. In this paper we present an approach to spatio-temporal localization of agricultural mechanization operations based on a linear classifier in fuzzy linear space. We trained a classifier on data labeled using a fuzzy linear classifier in order to create a training set for a data mining predictor that may be helpful in automated management of records describing agricultural machinery’s dynamics. The training set was comprised of spatial coordinates of the machine recorded from a GPS device and then manually classified into two classes, denoting whether the machine is utilized for its primary purpose (productive operations like sowing, cultivating, spraying, etc.) or for non-productive operations such as moving the machine in transport from/to fields.

Multilayer document model for semantic document management services

Purpose The purpose of this paper is to identify the benefits of an approach in which document management systems (DMSs) are based on a formal and explicit document model, primarily in terms of facilitating domain-specific customization. Design/methodology/approach Within this paper, a generic document model is proposed. The model consists of two layers. A general purpose layer, which represents common features of the documents, and a domain-specific layer, modeling properties particular to application domain. The general purpose layer is based on ISO 82045, providing high degree of interoperability with other systems developed with respect to this set of standard. Findings Splitting document model into the layers enables DMSs to be tailored for each particular domain of application, depending on the general purpose layer. The existence of domain-specific layer allows documents to be interpreted differently in different domains of application. Practical implications In order to enable customization of DMS for a particular domain, the implementation of domain-specific document layer is required. Also, the proposed model does not explicitly deal with document dynamics. Originality/value The proposed document ontology is general enough to provide the representation of documents not depending on a specific scope of application, yet flexible enough to enable extensions through which domain-specific document features can be expressed. The separation of document model enables development of core DMS offering services relying explicitly on the general purpose layer on one hand, as well as domain-specific customization of DMS on the other.

A machine-readable description of generic instructional strategies in e-courses

The paper describes a language for specifying generic and content‐neutral instructional strategies in e‐courses. The language has been designed to be generic, instructionally expressive, and machine‐readable. The paper presents the language syntax, case study on representative instructional strategies and an evaluation of the language characteristics.