SWAP combines two highly successful technologies, viz. Semantic Web and Peer-to-peer computing. SWAP will develop the technology that is necessary to allow users their individual views on knowledge AND let them share knowledge effectively. In order to allow for individual views, every user’s PC is treated as a peer and every user may ask queries to the network of peers. In order to actually find the right piece of knowledge, SWAP employs Semantic Web technology. Current peer-to-peer technology only allows for keyword search and lacks the semantics that is necessary for effective, precise knowledge sharing. Current knowledge repositories lack the capability to provide really individual views in a decentralized framework with low administration overhead. SWAP will produce both. The combination of Semantic Web and Peer-to-peer is highly innovative with prospective benefits to the individualization of work views as well as to the facilitation of knowledge sharing between peers. SWAP will tackle the semantic challenges brought up by this novel combination such that knowledge finding and sharing is effectively possible. The basic infrastructure will build on already available Open Source peer-to-peer solutions. The work package structure of SWAP has been constructed in order to handle the high degree of innovation set out in the project goals, viz. it allows for fast adoption of new techniques and scientific achievements, but ensures effective development of the envisioned objectives. In particular: 1. SWAP will offer a Conceptual Analysis of the problem. The analysis comprises the use of semantic web technology in peer-to-peer computing, but it will also consider how emergent semantics may be constructed by overlapping knowledge structures of different peers (e.g. common categorizations of knowledge, common bookmark names of web pages). 2. SWAP will explore the conceptual architectures made possible by this combination. They constitute the foundations for the subsequent integration task as well as for further exploitation. 3. SWAP will investigate new methods to realize a Semantic Web based peer-to-peer system. 4. The methods will be implemented in a set of tools. 5. The tools will be integrated based on the foundations from the conceptual architectures in a demonstrator that can be tested in case studies. 6. The tool environment will be evaluated in two case studies about Knowledge Management for investment analysts and about Knowledge Sharing between SMEs (virtual enterprises). Project.2003-06-06.5026 english OntoWeb.org admin 2003-06-23 11:43:47 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.5026 2001-2003(C)OntoWeb.org The SemIPort (Semantic Methods and Tools for Information Portals) project develops innovative methods and tools for creating and maintaining semantic information portals for scientific communities. The methods combine techniques developed in the areas of metadata, knowledge management, knowledge representation, personalization, and data visualization. The methods and tools developed will : provide an infrastructure that allows researchers to query a semantically structured data repository; facilitate the interpretation and management of retrieved information; and provide methods for manually or automatically adding annotated informat. Project.2003-06-06.5337 english OntoWeb.org admin 2003-06-23 11:56:23 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.5337 2001-2003(C)OntoWeb.org Im Bereich der Telekommunikation existieren gewaltige Datenmengen, die sich sehr gut mit den Methoden und Verfahren des Data Mining analysieren lassen. In einer Projektstudie bei der Deutschen Telekom AG wurden erste Data-Mining Ansätze für verschiedene Aufgabenstellungen aus dem Bereich Telekommunikation entwickelt. Da diese Resultate sehr vielversprechend waren, wurde zum 1. Januar 1999 mit der Deutschen Telekom AG ein Kooperationsprojekt gestartet, um den Wettbewerb im Telekommunikationsmarkt zu analysieren und Kundengruppen und ihr Verhalten besser beschreiben zu können. Project.2003-06-06.5919 english OntoWeb.org admin 2003-06-23 11:49:20 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.5919 2001-2003(C)OntoWeb.org Ziel des Projektes ist die Bereitstellung von Methoden und Vorgehensweisen für das Wissensmanagement bei Produktions- und Dienstleistungsunternehmen, insbesondere des Mittelstandes, in Baden Württemberg. Der dazu kooperierende Forschungsverbund verfügt über Forschungsergebnisse, die das Gebiet des Wissensmanagements weitgehend abdecken und zudem reif sind für eine Einführung in die betriebliche Praxis. Die Schwerpunkte des vorliegenden Antrages sind so abgestimmt, dass eine modulare Methodenlandschaft für potentielle industrielle Nutzer verfügbar sein wird. Es entsteht so als weiteres wesentliches Ziel des Projektes eine Vernetzung der Wissensmanagement-Forschungskompetenz im Lande, die sich auf eine Vernetzung der Nutzer von Methoden des Wissensmanagements ausweiten wird. Als Vision sieht der Forschungsverbund mittelfristig ein Netzwerk "Wissensmanagement" im Lande Baden-Württemberg aus Forschungseinrichtungen und Unternehmen für eine überwettbewerbliche Fortentwicklung der expliziten Wissensnutzung. Project.2003-06-06.0331 english OntoWeb.org admin 2003-06-23 11:53:56 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.0331 2001-2003(C)OntoWeb.org The main objectives of the project are: The development of a family of ontology languages that extend existing Web standards while maintaining maximum backwards compatibility. The resulting layered architecture will provide the necessary flexibility (standardising on a single language is unrealistic in the Web environment) while maximising interoperability. This work has already begun with the development of OIL, a Web based ontology language that extends and enriches RDFS. The development of a framework of techniques and methodologies that provide an engineering approach to the building and use of ontologies. In particular, techniques will be developed for the semantic integration, migration, reconciliation and sharing of ontologies, issues that will be particularly important in the development of the semantic web. The development of a set of foundational ontologies covering a wide range of application domains. Each of these ontologies will provide a carefully crafted taxonomic backbone with a sound high level structure that can be used as the basis for the development of more detailed domain ontologies. The integration of existing ontologies with foundational ontologies will also provide a principled mechanism for the semantic integration of ontologies. The development of the comprehensive technical infrastructure and tool support that will be required by real world applications in the Semantic Web. In particular, an ontology server architecture will be developed in order to link new and existing components in an integrated and extensible tool suite. This will include tools for editing, integrating and extracting ontologies as well as services such as persistent storage and reasoning support. Project.2003-06-06.0729 english OntoWeb.org admin 2003-06-23 11:55:14 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.0729 2001-2003(C)OntoWeb.org In this context, Information Extraction from texts (IE) is one of the most promising areas of Human Language Technologies (HLT) for KM. IE is an automatic method for locating important facts in electronic documents for successive use, e.g. for annotating documents or for information storing for further use (such as populating an ontology with instances). IE as defined above is the perfect support for knowledge identification and extraction from Web documents as it can - for example - provide support in documents analysis either in an automatic way (unsupervised extraction of information) or semi-automatic way (e.g. as support for human annotators in locating relevant facts in documents, via information highlighting). The main barrier to the use of IE for such purpose is the difficulty in adapting IE systems to new scenarios and tasks, as most of the current technology still requires the intervention of IE experts for building new applications. This makes IE a technology difficult to apply, because personnel skilled in IE are difficult to find in industry, especially in small medium enterprises [Ciravegna 2000]. A main challenge for IE for the next years is to enable people with knowledge of Semantic Web but no or scarce preparation in IE and Computational Linguistics to build new applications/cover new domains. This is particularly important for the broader field of Knowledge Management (KM) whether web based or not: IE is just one of the many technologies to be used in building complex applications: wider acceptance of IE will come only when IE tools will not require any specific skill apart from notions of KM. The potential market for such tools is quite large. Project.2003-06-23.0553 english OntoWeb.org admin 2003-06-23 12:11:57 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-23.0553 2001-2003(C)OntoWeb.org The SemIPort (Semantic Methods and Tools for Information Portals) project develops innovative methods and tools for creating and maintaining semantic information portals for scientific communities. The methods combine techniques developed in the areas of metadata, knowledge management, knowledge representation, personalization, and data visualization. The methods and tools developed will provide an infrastructure that allows researchers to query a semantically structured data repository; facilitate the interpretation and management of retrieved information; and provide methods for manually or automatically adding annotated information. Project.2003-04-03.5925 english OntoWeb.org admin AIFB 2003-05-05 14:31:04 http://ontoweb.org/Projects/Project.2003-04-03.5925 2001-2003(C)OntoWeb.org In diesem Forschungsbereich wird der Einsatz von Formaler Begriffsanalyse in der Wissensentdeckung untersucht. Hierbei wurden Eisberg-Begriffsverbände als Methode zum begrifflichen Clustering entwickelt und der Algorithmus TITANIC zu ihrer Berechnung entworfen. Der Algorithmus ist allgemein zur effizienten Bestimmung von Hüllensystemen konzipiert und ist somit in einer großen Problemklasse (wie etwa für funktionale Abhängigkeiten in relationalen Datenbanken) einsetzbar. Beim Lernen von Assoziationsregeln aus großen Datensätzen treten zwei Probleme auf: die Komplexität der Algorithmen sowie die Komplexität der darzustellenden Ergebnisse. In Kooperation mit der Datenbank-Gruppe der Universität Blaise Pascal in Clermont-Ferrand wurden Algorithmen entwickelt, die unter Ausnutzung struktureller Eigenschaften deutlich kürzere Laufzeiten aufweisen. Auch der o.a. Algorithmus TITANIC kann hierzu verwandt werden. Dieselben strukturellen Eigenschaften können außerdem ausgenutzt werden, um die Menge der anzuzeigenden Assoziationsregeln ohne Informationsverlust zu reduzieren. Methoden zur Wissensentdeckung werden oft in Verbindung mit Datenanalyseverfahren verwendet. Diese Verbindung kann durch einen einheitlichen Wissensrepräsentationsformalismus unterstützt werden. Der Einsatz von formaler Begriffsanalyse als solche Grundlage wurde in dem Forschungsbereich untersucht und in Kooperation mit dem Knowledge Visualization and Ordering Labaratory der Griffith University, Gold Coast, Australien, anhand eines begrifflichen Email-Managementsystems aufgezeigt. Project.2003-05-26.5139 english OntoWeb.org admin 2003-06-23 11:20:22 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-05-26.5139 2001-2003(C)OntoWeb.org DAML is a new DARPA initiative. The DARPA Agent Markup Language Program progress toward the goal of creating a language and tools to facilitate the dynamically identification and understanding of information sources, and to provide interoperability in a semantic manner Project.2003-05-26.2354 english OntoWeb.org admin 2003-06-23 11:18:40 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-05-26.2354 2001-2003(C)OntoWeb.org Im Rahmen des Long Term Research Project Frameworks des ESPRIT-IV-Programmes der EG wurde das IBROW3-Projekt begonnen: An Intelligent Brokering Service for Knowledge-Component Reuse on the World-Wide Web. Projektpartner sind die Universität Amsterdam, die Open University in Milton Keynes, England, das Spanish Council of Scientific Research (IIIA) in Barcelona und das Institut AIFB. Im Advisory Board sind Daimler-Benz Deutschland und das AI Applications Institute aus Großbritannien. Das Ziel von IBROW3 ist die Entwicklung eines intelligenten Brokers, der die Konfiguration wissensbasierter Systeme aus wiederverwendbaren und im WWW verteilten Komponenten unterstützt. Schwerpunkt sind dabei die Komponenten, die das Schließen wissensbasierter Systeme realisieren. In Zusammenarbeit mit der University of Stanford wurde die Universal Problem-solving Method development Language UPML entwickelt und in Zusammenarbeit mit der Open University Milton Keyes wurden Bibliotheken von Problemlösungsmethoden für Designprobleme spezifiziert. Nähere Infos sind zu finden unter: http://www.swi.psy.uva.nl/projects/IBROW3/home.html. Im weiteren Verlauf des Projektes sollen die Wiederverwendung weiterer Softwarekomponenten unterstützt und semiautomatische Unterstützung für die Adaption generischer Komponenten an anwendungsspezifische Gegebenheiten geliefert werden. Project.2003-06-06.5746 english OntoWeb.org admin 2003-08-03 11:21:50 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.5746 2001-2003(C)OntoWeb.org The Web in its? current form is an impressive success with a growing number of users and information sources. However, the growing complexity of the Web is not reflected in the current state of Web technology. The heavy burden of accessing, extracting, interpretating and maintaining information is left to the human user. The Semantic Web having the vision of machine-processable and -interpretable provides means for solving these problems. The Semantic Web is not a separate Web, it is just being developed on top of the existing Web. Ontologies and metadata are important means for realizing the vision of the Semantic Web. RDF (Resource Description Framework) provided by W3C has been identified as a core data model and infrastructure for ontologies and metadata. Several RDF- APIs, parsers, schema and metadata editors, etc. have been developed within the Semantic Web community. However, to establish the Semantic Web much more specialized, comprehensive and intregated tools are required. The Karlsruhe Ontology (KAON) tool suite builds on RDF and provides specialized tools for the SDK, engineering, discovery, management, and presentation of ontologies and metadata. KAON is currently growing to a family of tools, whose aim is to make your life in the age of the Semantic Web easier. We mainly distinguish between the KAON frontend tools and the KAON backend tools. OntoMat-Framework is a comprehensive and flexible integrated development environment and builds the backbone of the KAON frontend tools. It provides a basic support for an application, e.g. a generic plug-in and service mechanism for all KAON plugins. In combination with additional plugins it enables several applications such as ONTOMAT or SOEP. The KAON-API builds on the RDF data model and is the core data access component of all KAON tools, thus, it is the backbone for the KAON backend tools. Project.2003-06-06.0821 english OntoWeb.org admin 2003-06-23 11:28:45 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.0821 2001-2003(C)OntoWeb.org During the last years the WWW has become increasingly popular leading to a increditible large amount of knowledge that is provided by it. However, intelligent access to its knowledge pieces is still very limited. The Ontobroker project uses ontologies to annotate and wrap Web documents and provides an ontology-based answering service to overcome this bottleneck. The Ontobroker supports clients that query for knowledge as well as providers that want to enhange the accessability of their web documents. Project.2003-06-06.1235 english OntoWeb.org admin 2003-06-23 11:33:35 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.1235 2001-2003(C)OntoWeb.org The vision and goal of the project is to produce a distributed learning web infrastructure, which will facilitate greater flexibility and functionality at all levels of university teaching. This will enable knowledge and learning materials to be constantly restructured and remodeled, and so can be individually accessed as and when they are needed. The utilization of distributed, web-based learning materials and collaborative project work allows students to create their own individual timetable and supports independent and autonomous study. Basic technologies such as repositories and metadata, intelligent hypermedia systems, and communication design are the main focus of the project. The exchange of distributed learning materials within the peer-to-peer network is a further important element, as are the intelligent indexing and personalized learning materials search functions. The PADLR project is divided into three modules: infrastructure and intelligent services, server and client side tools, shared and personalized access to educational media. The module ‘infrastructure and intelligent services’ deals with peer-to-peer networks of learning materials. It concentrates on the development of suitable metadata and protocols for the exchange of learning materials in distributed collections of information worldwide, intelligent indexing of learning materials, and personalized query and search algorithms for distributed collections of learning materials. The module ‘server and client side tools’ focuses on modular learning environments and modular material collections, as well as tools for video/audio capturing und annotation using metadata. The module ‘shared and personalized access to educational media’ concentrates on the creation of personalized content, interfaces, and help systems. Their aim is to develop basic principles for personalized ‘courselets’ in several fields. Further areas of interest are the integration of the courselets into innovative curricula and the issue of copyright within networked collections of learning materials. Project.2003-06-06.1706 english OntoWeb.org admin 2003-06-23 11:35:15 http://ontoweb.org/Members/MMikati/Folder.2003-05-26.5106/Project.2003-06-06.1706 2001-2003(C)OntoWeb.org