Weronika T. Adrian

How to Reason by HeaRT in a Semantic Knowledge-Based Wiki

Semantic wikis constitute an increasingly popular class of systems for collaborative knowledge engineering. We developed Loki, a semantic wiki that uses a logic-based knowledge representation. It is compatible with semantic annotations mechanism as well as Semantic Web languages. We integrated the system with a rule engine called Heart that supports inference with production rules. Several modes for modularized rule bases, suitable for the distributed rule bases present in a wiki, are considered. Embedding the rule engine enables strong reasoning and allows to run production rules over semantic knowledge bases. In the paper, we demonstrate the system concepts and functionality using an illustrative example.

Mobile context-based framework for threat monitoring in urban environment with social threat monitor

Engaging users in threat reporting is important in order to improve threat monitoring in urban environments. Today, mobile applications are mostly used to provide basic reporting interfaces. With a rapid evolution of mobile devices, the idea of context awareness has gained a remarkable popularity in recent years. Modern smartphones and tablets are equipped with a variety of sensors including accelerometers, gyroscopes, pressure gauges, light and GPS sensors. Additionally, the devices become computationally powerful which allows for real-time processing of data gathered by their sensors. Universal access to the Internet via WiFi hot-spots and GSM network makes mobile devices perfect platforms for ubiquitous computing. Although there exist numerous frameworks for context-aware systems, they are usually dedicated to static, centralized, client-server architectures. There is still space for research in the field of context modeling and reasoning for mobile devices. In this paper, we propose a lightweight context-aware framework for mobile devices that uses data gathered by mobile device sensors and performs on-line reasoning about possible threats based on the information provided by the Social Threat Monitor system developed in the INDECT project.

Mobile Context-Based Framework for Monitoring Threats in Urban Environment

With a rapid evolution of mobile devices, the idea of context awareness has gained a remarkable popularity in recent years. Modern smartphones and tablets are equipped with a variety of sensors including accelerometers, gyroscopes, pressure gauges, light and GPS sensors. Additionally, the devices become computationally powerful which allows real-time processing of data gathered by their sensors. Universal access to the Internet via WiFi hot-spots and GSM network makes mobile devices perfect platforms for ubiquitous computing. Although there exist numerous frameworks for context-aware systems, they are usually dedicated to static, centralized, client-server architectures. There is still space for research in a field of context modeling and reasoning for mobile devices. In this paper, we propose a lightweight context-aware framework for mobile devices that uses data gathered by mobile device sensors and perform on-line reasoning about possible threats, based on the information provided by the Social Threat Monitor system developed in the INDECT project.

Web-Based Knowledge Acquisition and Management System Supporting Collaboration for Improving Safety in Urban Environment

Effectiveness and popularity of an information system is nowadays significantly influenced by its social aspects and the benefits it provides for the user community. This paper presents a progress report of recent developments within the Task 4.6. of the INDECT project aimed at development of a threat monitoring system with social features and GIS integration. The main focus is on the improved prototype system for distributed knowledge acquisition and management. The prototype is a result of a thorough analysis of previous attempts to develop the system, and a reworked design and implementation with several important improvements. In the paper, the concepts and requirements of the system are briefly recalled, selected features of the enhanced system are highlighted and a practical use case example is described. The presented scenario illustrates how citizens and police officers can cooperate with high efficiency and low cost using the system.

Traffic Danger Ontology for Citizen Safety Web System

In this paper a novel approach to development of a Web-based threat information system for citizens is presented. The method assumes a significant role of a domain ontology and Description Logics (DL) reasoning. In order to test this approach a prototype ontology-driven application has been developed. The main objective of the application is to provide real time information for users about threats represented with 2D GIS system. The system integrates a database and an ontology for storing and inferring desired information. While the abstract of traffic danger domain is described by the ontology, the location details of traffic conditions are stored in the database. During run-time the ontology is populated with instances stored in a database and used by a DL reasoner to infer required facts. The paper gives an overview of the system design and implementation.

Prototypes of a Web System for Citizen Provided Information, Automatic Knowledge Extraction, Knowledge Management and GIS Integration

This paper presents preliminary results of work conducted within the INDECT project, Deliverable D4.14. The main goal of this deliverable is to develop a web system for acquisition of information from citizens, automatic knowledge extraction and knowledge management with GIS features. The paper presents three prototype systems and outlines their functionality. Social features have been implemented to encourage users to actively participate in data acquisition. Each of the presented systems offers a slightly different functionality and is based on a somewhat different conceptual model. The prototypes have been developed with the use of various software development technologies and tools for practical evaluation of each of the possible approaches. The results presented here constitute the basis for the implementation of the final system.

Distributed and collaborative knowledge management using an ontology-based system

Semantic annotations and formally grounded ontologies constitute flexible yet powerful methods of knowledge representation. Using them in a system allows to perform automated reasoning and can enhance the knowledge management. In the paper, we present a system for collaborative knowledge management, in which an ontology and ontological reasoning is used. The main objective of the application is to provide information for citizens about threats in an urban environment. The system integrates a database and an ontology for storing and inferring desired information. While a terminology of the traffic danger domain is described by the ontology, the location details of traffic conditions are stored in the database. During run-time, the ontology is populated with instances stored in the database and used by a Description Logic reasoner to infer new facts.

The ASP System DLV: Advancements and Applications

We briefly describe the answer set programming system DLV, focusing on some of its peculiar features and mentioning a number of successful applications.

Semantic Views of Homogeneous Unstructured Data

Homogeneous unstructured data (HUD) are collections of unstructured documents that share common properties, such as similar layout, common file format, or common domain of values. Building on such properties, it would be desirable to automatically process HUD to access the main information through a semantic layer – typically an ontology – called semantic view. Hence, we propose an ontology-based approach for extracting semantically rich information from HUD, by integrating and extending recent technologies and results from the fields of classical information extraction, table recognition, ontologies, text annotation, and logic programming. Moreover, we design and implement a system, named KnowRex, that has been successfully applied to curriculum vitae in the Europass style to offer a semantic view of them, and be able, for example, to select those which exhibit required skills.

Prototyping: is it a more creative way for shaping ideas

Prototyping is an important phase during development of innovative solutions. Iterative design process and testing prototypes with users may highly improve the final result. Design Thinking methodology developed in Silicon Valley is widely recognized and used in many successful companies as a method to foster creativity and innovation. The paper presents selected case studies from Polish universities, where Design Thinking and prototyping have been introduced.