Approaches for personalised knowledge retrieval

Abstract

Purpose -The purpose of this paper is to describe new search methods based on semantic information structures to offer a personalised and interactive knowledge retrieval to the user. Design/methodology/approach -A careful look on existing "knowledge management projects" leads to a proposed approach of a "knowledge broker network" where transfer of knowledge is based on communication between humans. To enhance the quality of search results a new search algorithm ("Search Assistance Algorithm (SAA)") is described in a simplified manner.Findings -The paper provides information on the knowledge broker network and shows the advantages of this concept especially of the automated part.Research limitations/implications -The paper shows the proposed approach has not formally being tested yet. Some pilot studies have been made and a study especially for the SAA is planned for the near future. Practical implications -This approach has the potential to change the way of transfer of knowledge using a knowledge broker network based on knowledge management systems, which could be improved by our SAA in practice. Originality/value -Using knowledge management systems in a "standard way" by feeding in information and using retrieval methods is not optimal for sharing knowledge between humans. To provide and update information is very cost-intensive. Using "meta-information" about "who is expert in which area" and bring information-seeker and experts together could be the optimal method. This knowledge broker network helps to bring this idea into reality.

Bridging intention and behavior of knowledge sharing

“…Many companies tend to force the employees to enter their knowledge into an IT system (Loew et al, 2007) and set up a knowledge management system (KMS). This KMS consists of existing information databases such as ERP systems, document management systems, workflow management systems etc, and a system which is able to connect all these systems and provide a common access point for the user.…”

Cloud-Based Knowledge Brokering Platform for Managing Construction Claims — A Conceptual Framework

“…The mechanism within the system to automatically recommend suitable experts for a claim can be supported by the semantic search technology. In this regard, [18] has demonstrated the way experts could be identified within a Web-based portal using the technology. A semantic network is a structure for representing knowledge as a pattern of interconnected nodes and arcs [19].…”

“…A semantic network is a structure for representing knowledge as a pattern of interconnected nodes and arcs [19]. Semantic search uses the links or relationships between concepts and instances in the semantic network, instead of the conventional keywords matching approach, to improve the accuracy and relevance of the results returned [18]. On the other hand, experts can also bid for tasks advertised by the contractors in the system (e.g.…”

HOMER: A semantically enhanced knowledge management approach in the domain of homemade explosives intelligence

“…The focus on work carried out in this area is based on achieving better personalisation by fine-tuning analysis and prediction algorithms to raise result precision and recall, as well as the development of hybrid systems that manage to tackle limitations imposed by separate contentbased or collaborative filtering systems (Loew et al 2007;Rajeswari and Hariharan 2016). Annotating content with tags, drawn from a folksonomy (i.e.…”

“…user profile details, their current location), or exploitation of methods used to represent the knowledge on the platform (e.g. semantics, ontologies, taxonomies) (Loew et al 2007). Essentially, systems designed with such principles in their core are capable of adapting to the users and their needs, and hence solve knowledge navigation problems users may encounter within the knowledgebase of their organisation.…”