WANT: A Personal Knowledge Management System on Social Software Agent Technologies.
ABSTRACT A multi-agent system is a network individual agent that work together to achieve a goal through communication and collaboration
among each other. Standardized infrastructure for information or knowledge sharing is required to make autonomous agents interdependent
on each other for effective collaboration in a multi-agent system. In order to enhance productivity of knowledge workers knowledge
management tools should support collaborative environments among desktop, web, and even mobile devices. The Semantic Web is
the place where software agents perform various intelligent tasks using standard knowledge representational schemes that are
named “ontologies.” This paper presents a conceptual framework of the social knowledge activities and knowledge processes
with regard to the social software agents. Our prototype, called WANT, is a wiki-based semantic tagging system for collaborative
and communicative knowledge creation and maintenance by a human or software agent. It can be supported in both desktop and
Article: The metadata enigma.[show abstract] [hide abstract]
ABSTRACT: The article focuses on the difficulties in the metadata solutions in the context of a data warehouse, introducing the multiple elements that constitute metadata to illustrate its inherent complexity The article focuses on the difficulties in the metadata solutions in the context of a data warehouse, introducing the multiple elements that constitute metadata to illustrate its inherent complexity. Metadata is usually viewed as a system's data dictionary, capturing definitions of data entities and the relationships among them. Decision makers may evaluate data quality both impartially and contextually. Providing these metadata components to decision makers has been shown to significantly improve their decision process efficiency as well as the decision outcome.Commun. ACM. 01/2006; 49:88-94.
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ABSTRACT: Recent developments in the resource-based theory of the firm have suggested that organizational knowledge is the key to competitive advantage. We argue for several different types of knowledge, developing a two-by-two matrix using the explicit-implicit and individual-social distinctions. Resource-based theory characteristically overlooks the collective knowledge and skills required to coordinate the resources into a viable bundle. It overlooks, therefore, the synergistic aspects of the organization as a system of practice. We argue that these are emergent, a result of fundamental collective learning and remembering capabilities, and the key to the firm's sustainable competitive advantage. We conclude by raising the paradox embedded in Penrose's theory of the firm, that if the collective resources built up by learning by doing give rise to Penrose rents, they are also appropriable.International Business Review. 01/1994; 3(4):353-367.
Conference Proceeding: End-User Application Development for the Semantic Web[show abstract] [hide abstract]
ABSTRACT: Although a lot of information has become readily accessible and necessary for daily work, the current infrastructure for managing information is ill-suited for information-oriented activities: information and functionality are scattered across applications and websites, making it difficult to aggregate and reuse just the right set of content and operations required for unique user tasks. We discuss a collection of tools built into the Haystack platform that address many of the shortcomings of current applications, and allow composing reusable fragments of information and associated operations and views from the Semantic Web into a task workspace tailored to the user and the task. Users can change the workspace to immediately meet changing requirements to easily include, remove or reuse information in multiple tasks simultaneously. The time that a user invests for the initial setup and occasional updates to the workspace is amortized over the numerous times he or she returns to the task, and all relevant information resources are co-located and ready to use.Semantic Desktop 2005 Workshop, International Semantic Web Conference (ISWC);