In resource based learning settings learners have to cope with a multitude of resources. One big challenge for learners is managing the knowledge contained in these resources appropriately. We discuss some existing knowledge modeling methods and related tools with regard to learning scenarios. This paper focuses on presenting a knowledge modeling approach based on personal knowledge networks. Aggregation and mapping of these personal networks can form a community network supporting exchange of knowledge. Furthermore a proof-of-concept is described.
Several data quality management (DQM) tasks like duplicate detection or consistency checking depend on domain specific knowledge. Many DQM approaches have potential for bringing together domain knowledge and DQM metadata. We provide an approach which uses this knowledge modeled in ontologies instead of aquiring that knowledge by cost-intensive interviews with domain-experts. These ontologies can directly be annotated with DQM specific metadata. With our approach a synergy effect can be achieved when modeling a domain ontology, e.g. for defining a shared vocabulary for improved interoperability, and performing DQM. We present three DQM applications which directly use knowledge provided by domain ontologies. These applications use the ontology structure itself to provide correction suggestions for invalid data, identify duplicates, and to store data quality annotations at schema and instance level.
Classical knowledge representation methods traditionally work with established relations such as synonymy, hierarchy and unspecified associations. Recent developments like ontologies and folksonomies show new forms of collaboration, indexing and knowledge representation and encourage the reconsideration of standard knowledge relationships. In a summarizing overview we show which relations are currently utilized in elaborated knowledge representation methods and which may be inherently hidden in folksonomies and ontologies.
The search for professional knowledge is affected by an endemic ambiguity in the definition of required and provided competences. Ontologies represent a mean for disambiguation, by providing a shared vocabulary for job market knowledge domain. In this paper we propose an ontology based search engine for curricula, which exploits the semantic annotation of available curricula to rank them with respect to a knowledge request and implements novel technologies for dynamic and interactive web applications development.
Daily work with information spread across multiple data sources is still a time consuming task when it comes to managing, searching and securely distributing to dedicated recipients. The paper describes the generation of a homogeneous knowledge representation extracted from heterogeneous personal data sources. Used for unified navigation through personal knowledge it assists the user in retrieving any information even with limited devices such as smartphones through a single interface.
People need information to create new knowledge. For each piece of information obtained, a range of previous knowledge, competences, beliefs and own concept definitions significantly influence personal perception and one’s knowledge creation. This in turn, affects the ability to remember, reason, solve problems and interpret information. These issues have to be considered when planning knowledge management systems, in which information retrieval and handling, reuse, people interaction, knowledge interchange and dissemination comprise its characteristics. This paper is based on the Knowledge Object definition from Merrill and proposes an approach which more precisely enables Knowledge Object representation, taking into account the domain in which a KO is used, a range of previous knowledge, competences, beliefs, concept definitions, user profile and recommendation from community users.
A formal product model contains all the information (structured and formalized) to systematically reproduce a specific product (as economic asset). There are several approaches for formalizing product model information in the old economy (for example CAD/CAM-based product models in discrete parts manufacturing). The service sector evolved to the most important sector in all developed economies. Knowledge plays a crucial role for delivering many services. For complex, IT-based service products high in variants (such as insurances, IT outsourcing or public administration services) existing approaches are not suitable but formalization is desired (e.g. it allows easier rendering, export or trade of such products). This paper elicits a possible strategy for defining formal product models for knowledge-based services using knowledge representation and semantic web technologies.
An analysis of the development of the concept of knowledge is provided involving the consequences of the scientific and the management revolution. The situation of conceiving knowledge in the industrial society is outlined. An analysis of important factorst leading to he present sitation is provided focusing on the role of the IT-revolution, esp. Artificial intelligence and knowledge based systems and organisational learning as a key factor of value creation. Finally the present situation is outlined ending with a conception of what knowledge management is.