Dynamic Tagging for Enterprise Knowledge Sharing and Representation

The development of Web 2.0 technology provides an easy way for people to transfer and share knowledge. As a collaborative tagging tool, folksonomy is an efficient indexing method in Web 2.0 environments. After analyzing the pros and cons of current knowledge management systems, this research proposes a dynamic Tagging system that combines folksonomy technologies with other approaches including automatic schema enrichment and training. The proposed system improves access to a large, growing collection by supporting users collaboratively contribute to the building of tags. In addition, the proposed system provides an efficient way for firms to represent knowledge and share knowledge with customers and other firms

Semantic technologies: from niche to the mainstream of Web 3? A comprehensive framework for web Information modelling and semantic annotation

Context: Web information technologies developed and applied in the last decade have considerably changed the way web applications operate and have revolutionised information management and knowledge discovery. Social technologies, user-generated classification schemes and formal semantics have a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, evaluate its efficiency, identify the challenges involved and propose a comprehensive framework for web information modelling and semantic annotation, which is the thesis’ original contribution to knowledge. The proposed framework assists web information modelling, facilitates semantic annotation and information retrieval, enables system interoperability and enhances information quality. Implications: Semantic technologies coupled with social media and end-user involvement can instigate innovative influence with wide organisational implications that can benefit a considerable range of industries. The scalable and sustainable business models of social computing and the collective intelligence of organisational social media can be resourcefully paired with internal research and knowledge from interoperable information repositories, back-end databases and legacy systems. Semantified information assets can free human resources so that they can be used to better serve business development, support innovation and increase productivity

Language technologies and the evolution of the semantic web

The availability of huge amounts of semantic markup on the Web promises to enable a quantum leap in the level of support available to Web users for locating, aggregating, sharing, interpreting and customizing information. While we cannot claim that a large scale Semantic Web already exists, a number of applications have been produced, which generate and exploit semantic markup, to provide advanced search and querying functionalities, and to allow the visualization and management of heterogeneous, distributed data. While these tools provide evidence of the feasibility and tremendous potential value of the enterprise, they all suffer from major limitations, to do primarily with the limited degree of scale and heterogeneity of the semantic data they use. Nevertheless, we argue that we are at a key point in the brief history of the Semantic Web and that the very latest demonstrators already give us a glimpse of what future applications will look like. In this paper, we describe the already visible effects of these changes by analyzing the evolution of Semantic Web tools from smart databases towards applications that harness collective intelligence. We also point out that language technology plays an important role in making this evolution sustainable and we highlight the need for improved support, especially in the area of large-scale linguistic resources

The genesis and emergence of Web 3.0: a study in the integration of artificial intelligence and the semantic web in knowledge creation

The web as we know it has evolved rapidly over the last decade. We have gone from a phase of rapid growth as seen with the dot.com boom where business was king to the current web 2.0 phase where social networking, Wiki’s, Blogs and other related tools flood the bandwidth of the world wide web. The empowerment of the web user with web 2.0 technologies has led to the exponential growth of data, information and knowledge on the web. With this rapid change, there is a need to logically categorise this information and knowledge so it can be fully utilised by all. It can be argued that the power of the knowledge held on the web is not fully exposed under its current structure and to improve this we need to explore the foundations of the web. This dissertation will explore the evolution of the web from its early days to the present day. It will examine the way web content is stored and discuss the new semantic technologies now available to represent this content. The research aims to demonstrate the possibilities of efficient knowledge extraction from a knowledge portal such as a Wiki or SharePoint portal using these semantic technologies. This generation of dynamic knowledge content within a limited domain will attempt to demonstrate the benefits of semantic web to the knowledge age

A lightweight web video model with content and context descriptions for integration with linked data

The rapid increase of video data on the Web has warranted an urgent need for effective representation, management and retrieval of web videos. Recently, many studies have been carried out for ontological representation of videos, either using domain dependent or generic schemas such as MPEG-7, MPEG-4, and COMM. In spite of their extensive coverage and sound theoretical grounding, they are yet to be widely used by users. Two main possible reasons are the complexities involved and a lack of tool support. We propose a lightweight video content model for content-context description and integration. The uniqueness of the model is that it tries to model the emerging social context to describe and interpret the video. Our approach is grounded on exploiting easily extractable evolving contextual metadata and on the availability of existing data on the Web. This enables representational homogeneity and a firm basis for information integration among semantically-enabled data sources. The model uses many existing schemas to describe various ontology classes and shows the scope of interlinking with the Linked Data cloud

Social tagging as a knowledge collecting strategy in the engineering design change process

This article focuses on analysing the feasibility of using social tagging as a tool for knowledge collection and retrieval in the context of the product development process (PDP). This process is a social activity that involves groups of individuals who share a common goal: to design a product . Traditional knowledge-based systems (KBS) are not very well suited to capture the tacit knowledge that is embedded in this process. Social tagging is proposed in this article as the mechanism to externalize the tacit knowledge about the best CAD modelling strategies between the design team members. This knowledge is especially relevant for the management of engineering change orders because this process is closely related to the modelling methodology used to create the three-dimensional (3D) CAD models that have to be adapted to accomplish a specific design modification. In order to analyse the feasibility of this approach, an experimental study was conducted to understand the tagging process in this context and the benefit of using this information in the modification procedure of 3D CAD models. Preliminary experimental results show that tagging represents a feasible approach to support knowledge collection on best CAD modelling practices.Alduchin-Quintero, G.; Contero, M. (2012). Social tagging as a knowledge collecting strategy in the engineering design change process. Art, Design and Communication in Higher Education. 10(2):147-162. doi:10.1386/adch.10.2.147_114716210

CHORUS Deliverable 4.5: Report of the 3rd CHORUS Conference

The third and last CHORUS conference on Multimedia Search Engines took place from the 26th to the 27th of May 2009 in Brussels, Belgium. About 100 participants from 15 European countries, the US, Japan and Australia learned about the latest developments in the domain. An exhibition of 13 stands presented 16 research projects currently ongoing around the world

Knowledge Management for Public Administrations: Technical Realizations of an Enterprise Attention Management System

The improvement of governments’ efficiency has gained great importance and validity especially in the current times of economic downturn. E-Government constitutes the most contemporary techno-managerial proposition in the track of possible interventions. The paper addresses, more specifically, empowerments necessitated by Public Administration (PA) organizations. Anchored on the needs of three real-life cases, the paper describes the conception and the realization of an IT artefact together with its methodological appeals aiming at improving information access and delivery and thus PAs’ decision making capacity. Our proposition constitutes a novel approach for managing users’ attention in knowledge intensive organizations which goes beyond informing a user about changes in relevant information towards proactively supporting the user to react on changes. The approach is based on an expressive attention model, which is realized by combining ECA (Event-Condition-Action) rules with ontologies. The technical realizations described in the paper constitute the underlying infrastructure of an Enterprise Attention Management System