hj nern / (hans joachim nern)
duesseldorf / germany
[ free space ]
Dr.-Ing. Hans Joachim Nern
Dr-Ing H-Joachim Nern obtained his Diploma for Electrical Engineering at the University of Wuppertal, Germany, at the faculty of Electrical Engineering and Information Technology. He received his doctoral degree (Dr-Ing) at the Institute of Automatic Control and Technical Cybernetics at the University of Wuppertal within the research group of Prof Dr sc techn HA Nour Eldin.
The doctoral thesis of Hans-Joachim Nern was related to the application of quaternionic representation schemes to the design of non linear observers. He is specialised in the area of non linear observer design, control theory, pattern recognition, decision making and machine learning techniques, like classification, clustering and case based reasoning.
Since 1994 Dr H-Joachim Nern is engaged in applying AI methods, techniques and algorithms in the field of Information Technology and Knowledge Management: distributed decision support units and recommender systems, multi-agent systems, and collaborative environments (Knixmas, Infrawebs) and platforms. The application of such AI techniques and methods have been verified within several international development projects (RTD) in the fields of e-business, e-logistics, e-marketing, and data-mining as well as customer relationship (CRM) and supply chain management (SCM). Recently he is employed in the following research and development fields: Semantic Web, Ontologies, Web Services, Knowledge Management, Enterprise Application Integration, Enterprise Service Buses, and E-business and E-government applications.
Since 1990 until present he has published up to 100 scientific papers in different interdisciplinary fields like automatic control, pattern recognition, knowledge management, information and media technology, and semantic based systems.
Since 2001 Dr Hans-Joachim Nern is involved in the consulting and expert group Aspasia Knowledge Systems in Duesseldorf.
Since 2004 he is additionally concerned with the TV and media area focused on the merging of TV and IT Know How, methods and techniques.
WorkShop 2008 Euromedia
"Semantic Televison, Digital Right, TV Workflow, SOA"
"Aspects of Watermarking technologies applied to Digital TV Broadcast Objects"
H Joachim Nern, J. Wassermann, A. Dziech
Abstract: The objective of the presented paper is to give a short overview about watermarking approaches for audio visual objects (AV-objects). Since the market of handling digital media within digital TV stations is strong developing in this paper aspects of innovation-related activities of watermarking applications as well as current research and investigation streams are pointed out. Furthermore an approach for watermarking of AV-objects considering DCT, Wavelet and PLT transforms is discussed.
"Framework Approach for Search and Meta-Data Handling of AV Objects in Digital TV Cycles"
T Atanasova, H Joachim Nern, N. M. Sgouros, A. Dziech
Abstract: The paper objective is to describe an approach for a software framework consisting of an application oriented tool set for enhanced search, retrieval and processing of audio-visual (AV) content objects. Using semantic web service technologies and watermarking techniques the framework is designed to cover several aspects of object and workflow handling. It allows optimized system integration to support workflow environments realized as P2P as well as open network and mobile service approaches.
"Modules for an Integrated System Approach for Advanced Processing of AV-objects in Digital TV Workflow"
T Atanasova, H Joachim Nern, V Dimtchev, G Jesdinsky
Abstract: The scope of this paper is to describe the integrated system approach for advanced processing of AV-Objects. This system approach is oriented on the design of a software framework consisting of several modules and services, whereas the service designing and composing process is oriented on the WSMO specification. The proposed integrated system approach consists mainly of a threefold approach: meta-search, recognition and classification of objects, application of watermarking methods and the integration of interoperability features of semantic web services. The integrated modules concerning the retrieval, the watermarking, the semantic annotation and the workflow aspects are overviewed.
"Semantics Poses Challenge for Web Services, Information Society Technologies"
D. Kuropka, H.-Joachim Nern, G. Agre
"Semantic Web Service Development Based on a Knowledge Management Layer - INFRAWEBS Approach"
H.-Joachim Nern, T. Atanasova, G. Agre, A. Micsik, L. Kovacs, J.Saarela
"Intelligent Framework for Generating Open (Adaptable) Development Platforms for Web-Service Enabled Applications Using Semantic Web Technologies, Distributed Decision Support Units and Multi-Agent-Systems"
H. Joachim Nern G. Agre, T. Atanasova, A. Micsik, L. Kovacs, T. Westkaemper, J. Saarela, Z. Marinova, A. Kyriakov
"INFRAWEBS - Open development platform for web service applications."
“Fuzzy Concept Sets (FCS) Applied to Semantic Organisational Memories within Semantic Web Service Designing and Composing Cycles”
H Joachim Nern, A Dziech, E Tacheva
„Applying Clustering and Classification Methods to distributed Decision Making in Semantic Web Services Maintaining and Designing Cycles”
H Joachim Nern, A Dziech, T Atanasova
“Semantic Information Routing as a Pre-Process for Semantic Web Service Generation - SIR OM”
T Wetkaemper, H J Nern, J Saarela
„INFRAWEBS Semantic Web Unit for Design and Composition of Semantic Web Services”
Tatiana Atanasova, Gennady Agre, H Joachim Nern
„Migrating from Web Services to Semantic Web Services: INFRAWEBS Approach”
Gennady Agre, Tatiana Atanasova, H Joachim Nern
„Case-Based Semantic Web Service Designer and Composer”
Gennady Agre, Tatiana Atanasova, H Joachim Nern
„Distributed Decision Support in Multi-Agent Environment for Semantic Web Services”
T Atanasova, H Joachim Nern
“System Framework for Generating Open Development Platforms for Web-Service Enabled Applications Using Semantic Web Technologies, Distributed Decision Support Units and Multi-Agent-Systems– INFRAWEBS II”
H Joachim Nern, G. AGRE, T Atanasova
“Distributed Decision Support Embedded in Semantic Web Service Development and Maintenance Environments for Intelligent e-Business Applications”
H Joachim Nern, J Saarela
„Intelligent Framework for Networked Businesses and Governments Using Semantic Web Services and Multi-Agent Systems"
Nern H.-J., Atanasova T., Agre G., Saarela J.
"Semantic Information Routing as a Pre-Process for Semantic Web Service Generation - SIR & OM"
H. Joachim Nern, T.Westkaemper, J. Saarela
"System Framework for Generating Open Development Platforms for Web-Service Enabled Applications Using Semantic Web Technologies, Distributed Decision Support Units and Multi-Agent-Systems – INFRAWEBS II"
H. Joachim Nern, G. Agre,
T. Atanasova, J. Saarela
Web, Web-Services, Ontologies, Distributed Decision Making, Development
platforms, Multi-Agent Systems
"Distributed Decision Support Embedded in Semantic Web Service Development and Maintenance Environments for Intelligent e-Business Applications"
Key-Words: Decision Support, Distributed Decision Support, Closed Loop Approaches, Semantic Web, Web Services, Semantic Web Services, E-Business
Abstract: The paper introduces an approach for embedding distributed decision support mechanisms in Semantic Web Service development environments. To cover several non-functional aspects, like interoperability, adaptability, Service composability and scalability a set of AI-methodologies are applied. Interoperability is achieved by exchanging semantically enriched Services among platform partners within P2P networks. The machine processability of ontology based structures in conjunction with "closed loop" approaches in the Service operation, maintenance and feedback cycle ensures implicitly a high degree of stable adaptability and scalability. A Quality of Service Broker as part of the distributed decision support unit evaluates experience feedback patterns archived in distributed rule and case bases.
"INFRAWEBS - Intelligent Framework for Networked Businesses and Governments Using Semantic Web Services and Multi-Agent Systems"
H. Joachim Nern, ATANASOVA T., AGRE G., SAARELA J.
Key-Words: Semantic Web, Web Services, Ontologies, Semantic Based Collaboration, Semantic Web Unit, Case-Based Reasoning, Knowledge Brokering, Intelligent Knowledge Management, Multi-Agent System
Abstract: In this paper the conceptualization and
design of an ICT framework is proposed and discussed - an intelligent framework
for supporting organizational networking and the effective sharing of resources.
The challenges for this are to:
"New Approach for Online Case-Based Reasoning WEB-Services in Knowledge Management Applications"
H. Joachim Nern, Pautzke F., Atanasova T.
Abstract: Due to the fact that nowadays new knowledge creation and generation is rapidly accelerating, the development of efficient tools and systems for knowledge management and reasoning is essential. A main application field in the wide area of knowledge management is designated to decision support systems - systems which provide comprehensive support in gathering, organisation, refinement and distribution of knowledge.
The initial point for presenting this paper are the results of an European project the authors have been involved in . Consequently and on the basis of this former RTD actions [2, 3, 4] the authors present in this paper an enhancement of a specific type of decision support methodology - a new approach in Case Based Reasoning (CBR) for the general application in WEB-Services. The main realisation trait of this new system is the use of a closed loop approach considering and taking into account statistically evaluated user and experience feedback information implicitly. This closed loop structure assures a stable dynamically growing of the internal case bases and optimal adaptation to the user resp. systems needs.
"Multi-Agent Approach for Task Related Decision Supported Information Retrieval"
H. Joachim Nern, Atanasova T, Pautzke, F.
Abstract: This paper presents an approach for building research models accessing distributed and heterogene-ous knowledge pools using multi-agent information retrieval. Accordingly task-oriented scenarios for intelli-gent information retrieval are discussed. Searching and browsing activities range from a well-defined search for a specific document to a non-specific task to estimate which kind of information is available. An algorithm for information retrieval is proposed that provides decision support to optimise the search results. The system uses metadata information schemes to provide services in refining user queries to focus a search, in automatically routing queries to relevant servers and in clustering related items.
Key-Words: multi-agent system, decision support, knowledge network, metadata description schemes, information retrieval, distributed and heterogeneous knowledge pools
"Realisation of a Task Oriented Recommender System applied to XPS-Bases Research Networking"
H. Joachim Nern et al
Abstract:The realisation of a task oriented Decision Support System (DSS) used within an XPS-based research network is introduced in this paper. The knowledge (information) retrieval process is instantiated and supervised by a recommender system - supporting the user resp. researcher in determining and classifying his information requirements related to his research task. The retrieval procedure is undertaken stepwise in an iterative way, so that the user is conducted in optimising his task description and accordingly optimising his information retrieval.
The recommender system provides a multistage access cycle for converging the searching and retrieval process based on evaluation of feedback information. The system extracts out of the user’s (researcher’s) predefined task characteristically knowledge patterns and accordingly recommends relevant information objects. These objects are automatically rated with respect to their task related relevancy.
KEYWORDS: Intelligent information retrieval, decision support systems, recommender systems, adaptive knowledge management, document clustering, object classification
"Filtering and Classification of Meta-Data-Information Objects for Knowledge Sharing within an AI-Based Research Network"
"Decision Support Unit as Part of a Global Knowledge-Shared Research Network"
"An Intelligent CORBA-Based Software System for Management of Distributed Computer Applications"
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