Services aux conférences Mandl

Résumé: In just a few short years, KM has become an integral part of law firms’ infrastructure. Surprisingly, the business community and its in-house departments are just beginning to realize the potential of in-house KM. The longer they wait, the more it will cost them.

Résumé: Following the three successful conferences held in October 2000, April 2003 and April 2006 we are holding a further two day conference to examine progress in research on inks, substrates and processes for producing digital prints which may be subjected to archival storage.

Résumé: In just a few short years, KM has become an integral part of law firms’ infrastructure. Surprisingly, the business community and its in-house departments are just beginning to realize the potential of in-house KM. The longer they wait, the more it will cost them.

Résumé: The Twenty-Second International Conference on Software Engineering and Knowledge Engineering (SEKE 2010) will be held at the Hotel Sofitel, Redwood City, San Francisco Bay, USA, July 1-3, 2010. The conference aims at bringing together experts in software engineering and knowledge engineering to discuss on relevant results in either software engineering or knowledge engineering or both. Special emphasis will be put on the transference of methods between both domains.

Résumé: Knowledge Management (KM) is a discipline concerned with the analysis and technical support of practices used in an organization to identify, create, represent, distribute and enable the adoption and leveraging of good practices embedded in collaborative settings and, in particular, in organizational processes. Effective knowledge management is an increasingly important source of competitive advantage, and a key to the success of contemporary organizations, bolstering the collective expertise of its employees and partners.

There are several perspectives on KM, but all share the same core components, namely: People, Processes and Technology. Some take a techno-centric focus, in order to enhance knowledge integration and creation; some take an organizational focus, in order to optimize organization design and workflows; some take an ecological focus, where the important aspects are related to people interaction, knowledge and environmental factors as a complex adaptive system similar to a natural ecosystem.

Information Sharing (IS) is a term used for a long time in the information technology (IT) lexicon, related to data exchange, communication protocols and technological infrastructures. Although standardization is indeed an essential element for sharing information, IS effectiveness requires going beyond the syntactic nature of IT and delve into the human functions involved in the semantic, pragmatic and social levels of organizational semiotics.

The two areas are intertwined as information sharing is the foundation for knowledge management. KMIS aims at becoming a major meeting point for researchers and practitioners interested in the study and application of all perspectives of Knowledge Management and Information Sharing.

Résumé: Knowledge Engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and geographic information systems. From the software development point of view, KE uses principles that are strongly related to software engineering. KE is also related to mathematical logic, as well as strongly involved in cognitive science and socio-cognitive engineering where the knowledge is produced by socio-cognitive aggregates (mainly humans) and is structured according to our understanding of how human reasoning and logic works. Currently, KE is strongly related to the construction of shared knowledge bases or conceptual frameworks, often designated as ontologies.

Ontology Development aims at building reusable semantic structures that can be informal vocabularies, catalogs, glossaries as well as more complex finite formal structures representing the entities within a domain and the relationships between those entities. Ontologies, have been gaining interest and acceptance in computational audiences : formal ontologies are a form of software, thus software development methodologies can be adapted to serve ontology development. A wide range of applications is emerging, especially given the current web emphasis, including library science, ontology-enhanced search, e-commerce and configuration..

KEOD aims at becoming a major meeting point for researchers and practitioners interested in the study and development of methodologies and technologies for Knowledge Engineering and Ontology Development.

Résumé: Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. This has proven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet and the widespread use of large databases have created an important need for knowledge discovery methodologies. The challenge of extracting knowledge from data draws upon research in a large number of disciplines including statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing, to deliver advanced business intelligence and web discovery solutions.

Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload".

Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

The primary focus of KDIR is to provide a major forum for the scientific and technical advancement of knowledge discovery and information retrieval.

Résumé: The purpose of the IC3K is to bring together researchers, engineers and practitioners on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management.

IC3K is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas.

KDIR - International Conference on Knowledge Discovery and Information Retrieval
KEOD - International Conference on Knowledge Engineering and Ontology Development
KMIS - International Conference on Knowledge Management and Information Sharing

Résumé: GROUP Conferences provide forums for researchers and practitioners who are interested in topics related to computer-based systems that have an impact on groups, organizations and social networks. Relevant issues include design, implementation, deployment, evaluation, methodologies, and effects of these systems.