This article aims at providing better understanding of the applicability of Semantic Web tools and technologies in practice. It introduces a case study of the use of semantic technologies for extraction, integration and meaningful search and retrieval of expertise data, as an example of the new approaches to data integration and information management. In particular, the paper discusses the process of building expert profiles in a form of ontology database by integrating competences from structured and unstructured sources. The results of the case study show that emerging Semantic Web technologies such as the OWL 2, SPARQL, SPIN rule language, and public vocabularies such as FOAF, DOAC, bibTeX, Dublin Core and other can be used for building individual and enterprise competence models. The proposed approach extends the functionalities of existing enterprise information systems and offers possibilities for development of future Internet services. This allows organizations to express their core competences and talents in a standardized, machine processable and understandable format, and hence facilitates their integration in the European Research Area and beyond.
One of the principles of managing structured knowledge of an application domain is to exploit the notion of an ontology. Generalization of knowledge entities using formal semantic metadata enables classi cation and structuring of knowledge for better metadata management. Classi cation serves to form conceptual hierarchy of ontologies to reflect relationships among entities in the domain semantically while structuring helps to position vertical domain generalizations in appropriate relation-ships horizontally. We present a novel approach for conceptualization of enterprise application information in such a hierarchy to structure knowledge in abstract and domain speci c ontologies in RDFS forming reusable knowledge bases. We overcome conceptualization complexities in ligree enterprise information models by focusing on essential aspects of data types and their semantics to align relationship for business objects, enterprise data types and semantic entities with pragmatic consideration on a lightweigt semantic information model to maximize flexibility and inferential efficiency service query answering as well as reuse of structured knowledge artifacts.
Knowledge communication is an essential mechanism to facilitate intra- and inter-organizationalnowledge transfer. In order to improve the efficiency of knowledge communi-cation, organizations need to pay particular attention to the clarity of conveyed knowledge in order not to create confusion, misunderstandings, or misapplication of knowledge. In this con-tribution, we show where and how the concept of clarity matters for knowledge management in general, and for knowledge communication in particular. We review and operationalize the clarity concept so that it can become the object of a systematic management effort. Further-more, we show ways of how clarity can be pro-actively and systematically managed. We have tested our conception of clarity in a survey on clarity in knowledge-focused presentations, and we present the results in this paper. An outlook on future research on clarity in knowledge management concludes the article.
Semantic web provides virtual communities that enable intelligent interaction between software agents and people due to availability of standard open ontologies. But, as the semantic web is gaining much popularity, there is a massive growth seen in the ontology development which poses new research challenges such as ontology classification, ranking, searching, retrieval, etc. This results many recent developments, like OntoKhoj, Swoogle, OntoSearch, that facilitate user for such tasks. These semantic web portals mainly treat ontologies as plain texts and use traditional classification algorithms of plain text for classifying ontologies in directories and assigning predefined labels rather than using semantic knowledge hidden within the ontologies. These approaches suffer with many types of classification problems and lack of accuracy, especially in the case of overlapping ontologies that share common vocabularies. In this paper, we define ontology classification problem and categorized it into many sub-problems. We present a new methodology for ontology classification that is based on ontology approach for ontology classification and retrieval. The proposed framework, ONTCLASSIFIRE, benefit construction, maintenance or expansion of ontologies directories on the semantic web, and helps in ontology management and retrieval for software agents and people. We conclude that the use of context specific knowledge hidden in ontologies gives more accurate results of ontology classification and retrieval.
Ontology evaluation is an integral part of the ontology development process. Errors in ontology create serious problems for the information system based on it. To our surprise, the existing systems are unable to identify most of the errors. We evaluate some well known ontologies against the published error taxonomy and describe our algorithms to evaluate ontologies. The target errors include circulatory errors in class and property hierarchy, common class and property in disjoint decomposition, redundancy of sub class and sub property, redundancy of disjoint relation and disjoint knowledge omission. For the implementation, ontologies are indexed using a variant of already proposed and published scheme Ontrel. In addition to the previous errors taxonomy, the algorithms also cover recently extended error taxonomy. We evaluate our algorithms for performance and report errors detected in well known ontologies including Gene Ontology (GO), WordNet Ontology, OntoSem Ontology.
We first describe the state of the art of organizational learning, mentioning the theories and types of it. The need of organizational learning, contributing processes and the main processes are further explained. Various methods of organizational learning are introduced. A template for a short description is proposed, which gives an overview about existing methods. The template then offers the possibility to indicate which method can be applied on Enterprise Knowledge Maturing.
Although receiving significant attention in management research, the organizational competence concept still remains difficult to apply, due to the vagueness of the theoretical construct, and due to the lack of pragmatic procedures to make it actionable. According to recent research, knowledge visualization may mitigate the elusiveness of the competence concept by assisting the identification, management, and communication of competences. In this paper, we thus review the academic literature in search for conceptual representations designed to support organizational competence mapping at the intra-, and inter-organizational level. By taking a synoptic overview of the collected representations, we single out the building blocks of competence visualization, and develop a corresponding classification. Drawing on this classification, we position twelve existing competence representation methods in an integrative framework to assist practitioners in selecting the right representation method and to inform scholars about future research and development needs.
Pattern based task management has been proposed as a promising approach to work experience reuse in knowledge intensive work environments. While initial work has focused on the conceptualization and development of a generic framework, the process and user interaction of the task pattern lifecycle has not been addressed. In this paper, we introduce task copy augmented by Abstraction Services as a novel approach to facilitate task pattern creation and maintenance in a semi-automatic fashion. Also, we develop the architecture to demonstrate the underlying ideas by leveraging the advantage of semantic technologies.
Professional translation services are often perceived as quite expensive and people tend to go for the lowest price possible when commissioning a translation. To stay capable of competing with lay translators, professional translators have to continuously increase the efficiency of their work process. Researching information consumes a considerable part of the time needed for producing a high-quality translation. This work evaluates whether Web 2.0 applications with their social and collaborative characteristics have the potential to support the professional translator in his daily work. Here the main focus of attention is on a possible increase in efficiency of search and knowledge management processes. In phase one of the study we conducted a survey to determine the translator’s preferred search tactics, knowledge resources, and communication channels. Secondly, we conducted user tests on a Web 2.0 social media sharing platform followed by open interviews to find further evidence for the potential of Web 2.0-based collaborative applications in the professional translator’s business.
We introduce the concept of organizational knowledge maturing based on the idea of developing knowledge assets. We explain the dimensions that have to be considered and introduce the Knowledge Maturing Dimension Framework to measure the maturity level. Finally we describe service classes as the building blocks of a future organizational learning and maturing environment (OLME).
Due to increasing professionalization and specialization in the development of computer and video games new challenges regarding the support of knowledgeintensive activities emerge. This paper aims at sensitizing and systematizing the needs and potentials for continuous integration of knowledge management into game development. It describes the interplay of development activities and involved parties with the knowledge creation process and provides insight into a tool-based approach that aims to support knowledge management in game development on three distinct levels.
Despite intensive research within the field of knowledge management and its components, the issue of knowledge valuation and its organisational integration presents a big challenge. Existing research papers about knowledge valuation have remained on very abstract levels and therefore cannot be very easily adapted to the needs of a specific company. Often only scarce information is provided for specific practical implementation. This interferes considerably with the application of existing methods of knowledge valuation. In addition, support by information technology seems only seldom to be found nowadays, which also complicates the application of existing methods in organisations. The aim of this research paper is to compare selected established approaches of knowledge valuation on the basis of certain criteria. Furthermore, an analysis and identification of possibilities for improvement are given.