Creating and Using Organisational Semantic Webs in Large Networked Organisations (original) (raw)

Shared Ontology for Knowledge Management

2009

This chapter focuses on semantic searching at web scale. The solution presented takes advantage of the specific strengths of semantic repositories and the raw power of relational databases, the latter having been developed over decades and capable of handling efficiently large volumes of data with fixed structure (which is the case with the occurrence statistics) and the former allowing for inference and querying on top of formal knowledge. The interactive faceted search capability described is a demonstration how an approach based on these two technologies is more powerful and efficient for certain tasks as compared to traditional search engines.

Collaborative knowledge capture in ontologies

2005

Abstract This paper describes a new environment, COE, for capturing and formally representing expert knowledge for use in the Semantic Web. COE exploits the ease of use and rapid knowledge construction capabilities of the CmapTools concept mapping system and extends them to support the import and export of formal, machine-interpretable knowledge representations, such as OWL, across multiple ontologies.

On-to-knowledge: Semantic web enabled knowledge management

2002

Abstract. On-To-Knowledge builds an ontology-based tool environment to speed up knowledge management, dealing with large numbers of heterogeneous, distributed, and semi-structured documents typically found in large company intranets and the World Wide Web. The project's target results are:(1) a toolset for semantic information processing and user access;(2) OIL, an ontology-based inference layer on top of the World Wide Web;(3) an associated methodology and validation by industrial case studies.

An ontology-based knowledge management platform

IIWeb, 2003

We describe the development of a knowledge management platform for web-enabled environments featuring intelligence and insight capabilities. The effort is the result of a FP5 project under the IST initiative involving 3 universities, a technology provider and 5 user companies. The main objective of the platform is to analyse, search and present information retrieved from the web) (or any other type of document). This is achieved through the use of Multi-Agent Systems and ontologies. The automatic evolution of dynamic ontologies requires the action of a collection of agents to extract information and discover links using classification and learning techniques. These general-purpose agents will maintain a goal to periodically access the ontology and support search functions. Conceptually similar documents would get clustered into categories and information could then be retrieved by statistical approaches. Discovery of new knowledge would lead to modifications in the ontology by pruning irrelevant sections, refining its granularity and/or testing its consistency.

Semantic Web Technologies in Knowledge Management

Knowledge management is a big challenge especially in large organisations. Knowledge resides in many different forms: as explicit knowledge in documents and processes and as tacit knowledge in people and procedures and in many different forms between these two extremes. The vision of the Semantic Web is to offer more intelligent services by facilitating machine understanding of web content. Ontologies are an important building block in Semantic Web. An ontology describes the concepts, their relationships and properties within their domain, and it can be utilised both to offer automatic infering and interoperability between applications. This is an appropriate vision for knowledge management, too. This paper describes how Semantic Web ontologies can be utilised in a research organisation to create a common language to describe its knowledge. The same ontology can be utilised to manage projects, people, documents and products. With a common ontology, information that is spread out in many different applications and documents can be viewable in a way that is easy to understand and navigate. The ontology makes it possible to search both knowledge content and experts who are linked to different topics, thereby bridging the gap between the tacit and explicit knowledge.

A collaborative semantic web layer to enhance legacy systems

Proceedings of the …, 2007

This paper introduces a framework to add a semantic web layer to legacy organizational information, and describes its application to the use case provided by the Italian National Research Council (CNR) intraweb. Building on a traditional web-based view of information from different legacy databases, we have performed a semantic porting of data into a knowledge base, dependent on an OWL domain ontology. We have enriched the knowledge base by means of text mining techniques, in order to discover on-topic relations. Several reasoning techniques have been applied, in order to infer relevant implicit relationships. Finally, the ontology and the knowledge base have been deployed on a semantic wiki by means of the WikiFactory tool, which allows users to browse the ontology and the knowledge base, to introduce new relations, to revise wrong assertions in a collaborative way, and to perform semantic queries. In our experiments, we have been able to easily implement several functionalities, such as expert finding, by simply formulating ad-hoc queries from either an ontology editor or the semantic wiki interface. The result is an intelligent and collaborative front end, which allow users to add information, fill gaps, or revise existing information on a semantic basis, while keeping the knowledge base automatically updated.

(KA)2: building ontologies for the Internet: a mid-term report

International Journal of Human-Computer Studies, 1999

Ontologies are becoming increasingly more important in many different areas, including the knowledge management area. In knowledge management, ontologies can be used as an instrument to make knowledge assets intelligently accessible to people in organizations through an intranet or the Internet. Most enterprises agree that knowledge is an essential asset for success and survival on a increasingly competitive and global market. In this paper, we present an ontology-based approach through a large-scale initiative involving knowledge management for the knowledge-acquisition research community.

Enhancing the reusability of inter-organizational knowledge: an ontology-based collaborative knowledge management network

2009

Researchers have developed various knowledge management approaches that only focus on managing organizational knowledge. These approaches are developed in accordance with organizational KM strategies and business requirements without the concern of system interoperation. The lack of interoperability means that heterogeneous Knowledge Management Systems from different organizations are unable to communicate and integrate with one another, this results in limitation to reuse inter-organizational knowledge. Here, inter-organizational knowledge is defined as a set of explicit knowledge formalized and created by other organizations. In this research, a collaborative inter-organizational KM network is proposed to provide a platform for organizations to access and retrieve inter-organizational knowledge in a similar domain. Furthermore, ontology and its related mediation methods are incorporated in the network. The concept of ontology enables organizations to explicitly represent their knowledge of a specific domain with representational vocabulary in terms of objects and their interrelated describable relationships. Although different organizations may possess their own set of ontologies, the mediation methods that include mapping, merging and integration are capable of reconciling the underlying heterogeneities of ontologies. In this way, it is possible for the participant organizations to reuse inter-organizational knowledge within the network even though there are fundamental differences among organizations in terms of KMS structures and knowledge formats. The retrieved inter-organizational knowledge could then be used to support knowledge creating, storing, dissemination, using and evaluation of the organizational KM process. In additional, a selection framework is also proposed to assist organizations in choosing suitable ontology mediation approaches, ranging from mapping approaches. levels of automation, mediation methods to matching techniques. While knowledge engineers could reuse inter-organizational knowledge to create and evaluate organizational knowledge, general users are benefit from the effectiveness and efficiency in searching for relevant interorganizational knowledge within the network.