Refine
Year of publication
Document Type
- Part of Periodical (84) (remove)
Language
- English (84) (remove)
Keywords
- Bluetooth (4)
- ontology (4)
- Knowledge Compilation (3)
- computer clusters (3)
- Campus Information System (2)
- E-KRHyper (2)
- Equality (2)
- Linked Open Data (2)
- OWL (2)
- Ontology (2)
- Petri-Netze (2)
- Semantic Web (2)
- Theorem Proving (2)
- University (2)
- artificial neural networks (2)
- classification (2)
- constraint logic programming (2)
- mobile phone (2)
- multimedia metadata (2)
- parallel algorithms (2)
- probability propagation nets (2)
- risk (2)
- social media (2)
- ABox (1)
- Adaptive Services Grid (ASG) (1)
- Amazon Mechanical Turks (1)
- Augmented Reality (1)
- Automated Theorem Proving (1)
- Automated Theorem Proving Systems (1)
- Bayes Procedures (1)
- COVID-19 (1)
- Calculus (1)
- Cloud Computing (1)
- Computer Supported Cooperative Work (1)
- Conference (1)
- Context-aware processes (1)
- Core Ontology on Multimedia (1)
- Core Ontology on Multimedia (COMM) (1)
- Creativity (1)
- Crowdsourcing (1)
- DPLL procedure (1)
- Description Logic (1)
- Description Logics (1)
- Discussion Forums (1)
- Distributed process execution (1)
- E-KRHyper theorem prover (1)
- E-government (1)
- E-services (1)
- Enhanced Reality (1)
- Enterprise Systems (1)
- Generative Model (1)
- Graph Technology (1)
- Healthcare institution (1)
- Heimarbeit (1)
- Horn Clauses (1)
- Hyper Tableau Calculus (1)
- IASON (1)
- IT Outsourcing (1)
- IT Security (1)
- IT Services (1)
- Image (1)
- Intelligent Information Network (1)
- Internet (1)
- Internet Voting (1)
- KRHyper (1)
- Knowledge Sharing (1)
- Linked Data Modeling (1)
- MIA (1)
- MPEG-7 (1)
- Mixed method (1)
- Mobile Information Systems (1)
- Model-Driven Engineering (1)
- Multi-robot System (1)
- Multiagent System (1)
- Multimedia Metadata Ontology (1)
- Neuronales Netz (1)
- ODRL (1)
- Object Recognition (1)
- Online Community (1)
- Ontology alignment (1)
- POIs (1)
- Personalised Information Systems (1)
- Petri Nets (1)
- Petri net (1)
- Petrinetz (1)
- Probability (1)
- Probability propagation nets (1)
- Process tracing (1)
- Propagation (1)
- Quality assessment system (1)
- RDF (1)
- RDF Graphs (1)
- RDF modeling (1)
- Railway Research (1)
- Railway Research Topics (1)
- Railway Safety (1)
- Railway Safety Research (1)
- ReDSeeDS-Project (1)
- Resource Description Framework (RDF) (1)
- Robocup 2008 (1)
- Routing Information Protocol (RIP) (1)
- Routing Loops (1)
- Routing with Metric based Topology Investigation (RMTI) (1)
- SPARQL (1)
- Schema Information (1)
- Search engine (1)
- Security (1)
- Semantics (1)
- Service-oriented Architectures (SOA) (1)
- Social Networking Platforms (1)
- Software Development (1)
- Software techniques for object recognition (STOR) (1)
- Stochastic Logic (1)
- Support System (1)
- Survey Research (1)
- TAP (1)
- TBox (1)
- Tableau Calculus (1)
- Telearbeit (1)
- Theorem prover (1)
- Tokens (1)
- Traceability (1)
- UML (1)
- Umfrage (1)
- Unified Modeling Language (UML ) (1)
- Vocabulary Mapping (1)
- Vocabulary Reuse (1)
- Web Ontology Language (OWL) (1)
- Website (1)
- Wechselkursänderung (1)
- Werbung (1)
- Word-of-Mouth (1)
- XML (1)
- adaptive resonance theory (1)
- application programming interfaces (1)
- artifcial neural networks (1)
- artiffficial neural networks (1)
- artififfcial neural networks (1)
- assessment model (1)
- blood analysis (1)
- business process management (1)
- categorisation (1)
- core ontologies (1)
- currency exchange rates (1)
- delivery drone (1)
- design thinking (1)
- digital workplace (1)
- directed acyclic graphs (1)
- drone (1)
- e-Commerce (1)
- e-learning (1)
- e-service (1)
- e-service quality (1)
- entrepreneurial design thinking (1)
- entrepreneurial thinking (1)
- entrepreneurship education (1)
- estimation of algorithm efficiency (1)
- event model (1)
- event-based systems (1)
- events (1)
- faceted search (1)
- finite state automata (1)
- first-order logic (1)
- gaze information (1)
- governance (1)
- gradient method of training weight coefficients (1)
- hybrid automata (1)
- hybrid systems (1)
- hybrid work (1)
- iCity project (1)
- image processing (1)
- image semantics (1)
- information system (1)
- knowledge management system (1)
- knowledge work (1)
- living book (1)
- mathematical model (1)
- media competence model (1)
- metadata formats (1)
- metadata standards (1)
- methodology (1)
- minimum self-contained graphs (1)
- mobile application (1)
- mobile devices (1)
- mobile facets (1)
- mobile interaction (1)
- model generation (1)
- multi-agent systems (1)
- parallel calculations (1)
- personal information management (1)
- persönliches Informationsmanagement (1)
- points of interest (1)
- privacy and personal data (1)
- privacy competence model (1)
- privacy protection (1)
- public key infrastructure (1)
- regression analysis (1)
- regular dag languages (1)
- remote work (1)
- rich multimedia presentations (1)
- risks (1)
- scene analysis (1)
- security awareness (1)
- semantic annotation (1)
- semantic desktop (1)
- semantics (1)
- semantischer Desktop (1)
- sequent calculi (1)
- social media data (1)
- social object (1)
- social simulation (1)
- summative evaluation (1)
- tagging (1)
- teams (1)
- technology acceptance model (1)
- time series (1)
- tracking (1)
- virtual goods (1)
- visualization (1)
- web-portal medical e-services (1)
- work from anywhere (1)
- work from home (1)
This paper describes the robot Lisa used by team
homer@UniKoblenz of the University of Koblenz Landau, Germany, for the participation at the RoboCup@Home 2016 in Leipzig, Germany. A special focus is put on novel system components and the open source contributions of our team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on http://wiki.ros.org/agas-ros-pkg.
CAMPUS NEWS - artificial intelligence methods combined for an intelligent information network
(2008)
In this paper we describe a network for distributing personalised information with the usage of artificial intelligence methods. Reception of this information should be possible with everyday mobile equipment. Intelligent filtering and spam protection aim at integrating this technology into our environment. Information on the system architecture and usage of the installation are also presented.
Conventional security infrastructures in the Internet cannot be directly adopted to ambient systems, especially if based on short-range communication channels: Personal, mobile devices are used and the participants are present during communication, so privacy protection is a crucial issue. As ambient systems cannot rely on an uninterrupted connection to a Trust Center, certiffed data has to be veriffed locally. Security techniques have to be adjusted to the special environment. This paper introduces a public key infrastructure (PKI) to provide secure communication channels with respect to privacy, confidentiality, data integrity, non-repudiability, and user or device authentication. It supports three certiffcate levels with a different balance between authenticity and anonymity. This PKI is currently under implementation as part of the iCity project.
An empirical study to evaluate the location of advertisement panels by using a mobile marketing tool
(2009)
The efficiency of marketing campaigns is a precondition for business success. This paper discusses a technique to transfer advertisement content vie Bluetooth technology and collects market research information at the same time. Conventional advertisement media were enhanced by devices to automatically measure the number, distance, frequency and exposure time of passersby, making information available to evaluate both the wireless media as well as the location in general. This paper presents a study analyzing these data. A cryptographic one-way function protects privacy during data acquisition.
The paper deals with a specific introduction into probability propagation nets. Starting from dependency nets (which in a way can be considered the maximum information which follows from the directed graph structure of Bayesian networks), the probability propagation nets are constructed by joining a dependency net and (a slightly adapted version of) its dual net. Probability propagation nets are the Petri net version of Bayesian networks. In contrast to Bayesian networks, Petri nets are transparent and easy to operate. The high degree of transparency is due to the fact that every state in a process is visible as a marking of the Petri net. The convenient operability consists in the fact that there is no algorithm apart from the firing rule of Petri net transitions. Besides the structural importance of the Petri net duality there is a semantic matter; common sense in the form of probabilities and evidencebased likelihoods are dual to each other.
In this paper, we demonstrate by means of two examples how to work with probability propagation nets (PPNs). The fiirst, which comes from the book by Peng and Reggia [1], is a small example of medical diagnosis. The second one comes from [2]. It is an example of operational risk and is to show how the evidence flow in PPNs gives hints to reduce high losses. In terms of Bayesian networks, both examples contain cycles which are resolved by the conditioning technique [3].
Probability propagation nets
(2007)
A class of high level Petri nets, called "probability propagation nets", is introduced which is particularly useful for modeling probability and evidence propagation. These nets themselves are well suited to represent the probabilistic Horn abduction, whereas specific foldings of them will be used for representing the flows of probabilities and likelihoods in Bayesian networks.
Dualizing marked Petri nets results in tokens for transitions (t-tokens). A marked transition can strictly not be enabled, even if there are sufficient "enabling" tokens (p-tokens) on its input places. On the other hand, t-tokens can be moved by the firing of places. This permits flows of t-tokens which describe sequences of non-events. Their benefiit to simulation is the possibility to model (and observe) causes and effects of non-events, e.g. if something is broken down.
The paper is devoted to solving the problem of assessing the quality of the medical electronic service. A variety of dimensions and factors of quality, methods and models applied in different scopes of activity for assessing quality of service is researched. The basic aspects, requirements and peculiarities of implementing medical electronic services are investigated. The results of the analysis and the set of information models describing the processes of assessing quality of the electronic service "Booking an appointment with a physician" and developed for this paper allowed us to describe the methodology and to state the problem of the assessment of quality of this service.
The paper is devoted to solving a problem of the development of the website of Russian municipal policlinics and provides a selection of a set of elements which should be posted on a website. Such elements are necessary to provide citizens with correct and ergonomic e-services. The insufficient development of an infrastructure of institutions of public and municipal administration (particularly, healthcare institutions) in Russia made it necessary to analyze webresources used in different countries at different levels of providing medical services. The information resources of medical treatment facilities of the United Kingdom, of the United Statesrnof America and of the Federal Republic of Germany were researched separately for three existing economic models of healthcare. A set of criteria for the assessment of medical webresources was developed.
This paper describes results of the simulation of social objects, the dependence of schoolchildren's professional abilities on their personal characteristics. The simulation tool is the artificial neural network (ANN) technology. Results of a comparison of the time expense for training the ANN and for calculating the weight coefficients with serial and parallel algorithms, respectively, are presented.
An estimation of the number of multiplication and addition operations for training artififfcial neural networks by means of consecutive and parallel algorithms on a computer cluster is carried out. The evaluation of the efficiency of these algorithms is developed. The multilayer perceptron, the Volterra network and the cascade-correlation network are used as structures of artififfcial neural networks. Different methods of non-linear programming such as gradient and non-gradient methods are used for the calculation of the weight coefficients.
In order to enhance the company’s appeal for potential employees and improve the satisfaction of already salaried workers, it is necessary to offer a variety of work-life balance measures. But as their implementation causes time and financial costs, a prioritization of measures is needed. To express a recommendation for companies, this study is led by the questions if there are work-life balance measures which have more impact on employee satisfaction than others, how big the relative impact of work-life balance measures on job satisfaction in comparison to other work and private life variables is, if there is a relation between the effectiveness of measures and their use and if there is a difference between the measures which are most important from the employees’ perspective and the companies’ offers.
These questions are formulated in eight research hypotheses which are examined in a quantitative research design with online survey data from 289 employees of fifteen different German companies. The formation of a hierarchy of the effectiveness of measures towards job satisfaction as well as the investigation of the relative impact in comparison to other variables is performed using a multiple regression analysis, whilst the differences between employees’ expectations and the availability of offers are examined with t-tests.
Support in childcare, support in voluntary activities and teambuilding events have a significantly higher impact on job satisfaction than other work-life balance measures, and their potential use is higher than the actual use which leads to the conclusion that there is yet potential for companies to improve their employees’ satisfaction by implementing these measures. In addition, flexible work hours, flexible work locations and free time and overtime accounts are the most important measures from the employees’ point of view and already widely offered by the surveyed companies. In general, the overall use of the available measures and the quantity of offered measures are more important with regard to job satisfaction than the specific kind of measure. In addition, work-life balance measures are more important towards job satisfaction for younger people.
The objective of this contribution is to conceptually analyze the potentials of entrepreneurial design thinking as being a rather new method for entrepreneurship education. Based on a literature review of different design thinking concepts we carve out a generic design thinking model upon we conceptually build a new model that considers entrepreneurial thinking as a valuable characteristic.
The results of our work show that the characteristics of entrepreneurial design thinking can enhance entrepreneurship education by supporting respective action fields of entrepreneurial learning. In addition we reveal that entrepreneurial design thinking offers beneficial guidelines for the design of entrepreneurship education programs.
Despite widespread plans of big companies like Amazon and Google to develop unmanned delivery drones, scholarly research in this field is scarce, especially in the information systems field. From technical and legal perspectives, drone delivery in last-mile scenarios is in a quite mature state. However, estimates of user acceptance are varying between high skepticism and exaggerated optimism. This research follows a mixed method approach consisting both qualitative and quantitative research, to identify and test determinants of consumer delivery drone service adoption. The qualitative part rests on ten interviews among average consumers, who use delivery services on a regular basis. Insights gained from the qualitative part were used to develop an online survey and to assess the influence of associated risks on adoption intentions. The quantitative results show that especially financial and physical risks impede drone delivery service adoption. Delivery companies who are currently thinking about providing a delivery drone service may find these results useful when evaluating usage behaviors in the future market for delivery drones.
We present the user-centered, iterative design of Mobile Facets, a mobile application for the faceted search and exploration of a large, multi-dimensional data set of social media on a touchscreen mobile phone. Mobile Facets provides retrieval of resources such as places, persons, organizations, and events from an integration of different open social media sources and professional content sources, namely Wikipedia, Eventful, Upcoming, geo-located Flickr photos, and GeoNames. The data is queried live from the data sources. Thus, in contrast to other approaches we do not know in advance the number and type of facets and data items the Mobile Facets application receives in a specific contextual situation. While developingrnMobile Facets, we have continuously evaluated it with a small group of fifive users. We have conducted a task-based, formative evaluation of the fifinal prototype with 12 subjects to show the applicability and usability of our approach for faceted search and exploration on a touchscreen mobile phone.