Understanding Interlinked Data – Visualising, Exploring, and Analysing Ontologies

Companies are faced with managing as well as integrating large collections of distributed data today. Here, the challenging task is not to store these volumes of structured and interlinked data but to understand and analyze its explicit or implicit relationships. However, up to date there is virtually no support in navigating, visualizing or even analyzing structured data sets of this size appropriately. This paper describes novel rendering techniques enabling a new level of visual analytics combined with interactive exploration principles. The underlying visualization rationale is driven by the principle of providing detail information with respect to qualitative as well as quantitative aspects on user demand while offering an overview at any time. By means of our prototypical implementation and a real-world data set we show how to answer several data specific tasks by interactive visual exploration.

Learner-Generated Annotation of Learning Resources – Lessons from Experiments on Tagging

The importance of comprehensive annotations for learning resources is widely recognized. However, it is often unclear how these annotations should be created. A promising solution might be that learners annotate learning resources during execution of learning processes. This paper examines tagging as a learner-driven approach that can be used to get annotations on a collaborative level. The characteristics of learner-generated annotations in learning scenarios and the applicability of these annotations to describe learning resources are investigated. As empirical grounding, the results of three independent experiments are presented in order to inform decisions concerning the establishment of stitutionalized settings deploying tagging approaches.

Providing Multi Source Tag Recommendations in a Social Resource Sharing Platform

In today’s information environments, tagging is widely used to provide informationabout arbitrary types of digital resources. This information is created by end users with different motivations and for different kinds of purposes. When aiming to support users in the tagging process, these differences play an important role. This paper discusses several approaches to generate tag recommendations, and a prototypical recommender system for the social resource sharing platform ALOE will be presented.
This interactive system allows users to control the generation of the recommendations by selecting the sources to be used as well as their impact. The component was introduced at DFKI, and a first evaluation showed that the recommender component was considered as helpful by a majority of users.

VAMP: Semantic Validation of MPEG-7 Profiles

This paper describes the VAMP web application for the validation of MPEG-7 descriptions with respect to semantic constraints defined in a profile. The semantic constraints are formalised using an ontology and a set of rules.

MPEG-7 Video Annotation Tool

This paper presents a video annotation system which enables efficiently to annotate video footage. It provides automatic feature extraction methods which support the user in navigation through and structuring of the video content. An annotation at image region level is supported by object redetection and tracking functionalities. The result content description of the footage is saved in MPEG-7.

Requirements of Fragment Identification

The task of creating specific references rests on specifications that qualify how parts of resources can be addressed. The lack of standards for fragment identifiers has lead to the problem that links, metadata and references merely point to whole resources. Although it is suggested that fragment identification is specified with a media type’s MIME type registration, there are few formats that provide a fragment identification scheme. Furthermore formats that specify fragment identification schemes have not agreed on a common set of requirements. In this paper we present an overview of the current status of interoperable fragment definitions, point out promising activities that promote interoperable fragment definitions and suggest strategies to promote uniform fragment identifiers. Additionally a set of requirements is defined and described to ease the development of fragment identification standards.

A Semantics-aware Platform for Interactive TV Services

Interactive digital TV is becoming a reality throughout the globe. The most important part of the picture is new services for the user, in terms of audio-video quality, but mostly in terms of entirely new content and interacting experience. To this end, we explore the potential of introduction of semantics in the distribution, processing and usage of the media content. We propose a smart iTV receiver framework capable of collecting, extending and processing (reasoning) semantic metadata related to the broadcast multimedia content. System architecture is presented along with an example service to illustrate the combination of semantic metadata, user preferences and external data sources.

An Approach for On-Demand E-Learning to Support Knowledge Work

The requirements on learning support from knowledge work differ compared to traditional work. Based on those observations an approach for supporting learning in knowledge work is proposed considering requirements from e-learning as well as from knowledge management. In addition to traditional e-learning, on-demand e-learning takes the current situation of the knowledge worker into consideration to ensure learning support of knowledge work is proposed. For using a broad variety of resources in on demand e-learning a single metadata schema for describing seems not sufficient for every organisation. Therefore, application profiles appear adequate for describing resources used in the proposed approach for arranging knowledge elements. Identifying the knowledge workers current situation a learning need should be derived and to use it afterwards for selecting and delivering knowledge elements.

Sharing Digital Resources and Metadata for Open and Flexible Knowledge Management Systems

This paper discusses the requirements of a framework for sharing digital resources and metadata to meet the needs of open, flexible Knowledge Management solutions. The changing nature of the Web and its users as observed in recent years clearly establishes the need for new approaches and technologies to fully exploit the potential for working with existing digital resources. Formal metadata about the resources can be combined with information created in lightweight and user-centric approachesin order to significantly enhance resource descriptions and enable more efficient access to existing knowledge. The ALOE system, currently in development at DFKI, is one such solution and it is used here as the basis for a sample realization of an appropriate framework.

A Multimedia Annotation Vocabulary for Semantically Supported Multimedia Presentation Generation

As the annotation of media resources becomes increasingly viable with intuitive tools and semi-automatic extraction of information, the need for a common annotation vocabulary becomes ever stronger. Such a vocabulary needs to be able to provide enough information to a computer system to allow for media retrieval, adaptation and presentation. On the other hand, complexity will inhibit uptake on the Semantic Web, where simplicity seems to be the key to success. I present my research in building an automated multimedia presentation system and from this experience I outline a vocabulary which covers the needs of retrieval, adaptation and presentation of media by intelligent systems.

Visualizing Reuse: More than Meets the Eye

In this paper we discuss an interactive visualization application that aims to visualize a large repository of small reusable content components that were created by disaggregating legacy content. The purpose of this decomposition is to produce content that can be automatically reused in on-the-fly assemblies of new learning objects. The purpose of the visualization application is to offer insight in the structure of the contents of the repository and to enable access to them in an effective and efficient way.

Towards Document Repositories Based on Semantic Documents

Documents and document repositories are important for knowledge management. By using semantic documents with additional metadata, it is possible to link ontologies and documents to achieve efficient document management. Ontologies can then model both the domain vocabulary and the document structure and relate them to documents and document parts. The advantage of this ontology-based document structure is that it can support several services for document repositories, such as advanced semantic search.

Intelligent Community Lifecycle Support

Knowledge sharing in communities has attracted much attention in the field of knowledge management in research and practice. In this paper we outline a view where the community lifecycle is supported at different stages. The central component of our framework is the community ontology SWRC+COIN that describes the typical structure of communities. We exemplarily show how communities in the academic domain can be detected automatically by means of analyzing information flow in a bibliographic Peer-to-Peer system and how the instantiated community knowledge base can be exploited to support cooperative work in the communities.

Challenges in Knowledge Discovery: Structured Repositories and Multimedia Content

Recent trends in structure and content of global knowledge spaces present new challenges to the field of Knowledge Discovery. Very large, highly structured repositories are increasingly replacing smaller, flat information spaces. Such repositories are often filled with multimedia documents, including image, audio and video data. This publication briefly outlines the underlying trends and discusses implications on approaches to Knowledge Discovery. Some examples for applications accomodating these implications are presented and analysed for lessons learned which can be incorporated in designing future Knowledge Discovery systems. Emphasis is given to the visualisation of hierarchical structures and to cross-media knowledge mining, two fields crucial for adressing future challenges to Knowledge Discovery.

The Infolayer – A Simple Knowledge Management System Put to Use in Academia

In spite of the growing number of KMS emanating from academia, only few of these systems seem to be actively used by their creators. We can only speculate about the reasons, but lack of usability and support for real-life business processes are likely to be two of them. This paper presents the Infolayer, a KMS developed at the Artificial Intelligence unit at Dortmund university. Originally developed as an integrated information infrastructure for human users and software agents within a specific project, it has grown into a general KMS solution. Where other systems are built around complex reasoning capabilities based on Description Logics, the Infolayer’s focus is ease of use, customizability and integration of industry standards like UML. The system is being actively used to drive the intranet/internet presence of our unit as well as a number of other projects.

Integration of Digital Libraries into Learning Environments

In this paper we present some results of the project LEBONED which deals with the integration of digital libraries and their contents into Learning Management Systems. After describing in brief how the architecture of a standard Learning Management System has to be modified to enable such an integration, we present in more detail the LEBONED Metadata Architecture which describes the process of importing and processing documents and their metadata from digital libraries. Finally, we give a short discussion about our decision to physically store imported documents in an content repository of the Learning Management System instead of leaving them in the digital libraries.

Situated Models and Metadata for Learning Management

This paper depicts the interrelation between situated learning and learning management from an organisational and personal perspective. Based on this introduction we show how educational metadata can be used for approaches of situated learning and how we can take care of learning approaches and contexts using situated and context specific metadata and role-based models.

Knowledge Management within Digital Libraries by means of Personalization

This paper presents research results obtained from the project Personal Adaptable Digital Library Environment (PADDLE). The main focus of the DFG funded research project E; is to apply concepts of knowledge management to digital libraries by introducing personalization techniques. The idea is to enable the specific needs, experiences, skills and tasks of a knowledge worker using a digital library could be taken into account. Metadata is the key issue for doing this. Therefore the PADDLE system architecture describes a metadata . manager, which allows the association of metadata with the knowledge objects stored in distributed information resources. Based on this architecture several personalization concepts like workspaces and profiles are introduced. Finally, a geographic information portal is described that realizes a new way of seeking and accessing geodata related knowledge objects within a digital library.

Structural Computing and Metadata Management

The usefulness and desirability of high-quality metadata in information and knowledge management tasks is widely acknowledged. However, the methods for managing metadata generally treat the metadata as “second-class” objects. ln other types of information systems, information management techniques specihcally designed for the unique charateristics of metadata have been designed, implemented, and refined for many decades, albeit in different settings. ln this paper, we consider the lessons learned from structural computing systems with respect to metadata management, and how these lessons generalize to other knowledge management tasks.

Metadata Standards: What, Who and Why

In order to be able to (re-)use digital content, interested users must be able to identify and locate relevant documents. This requires descriptive data, nowadays generally referred to as metadata. Technical standards for a scaleable deployment on a global scale are required if we want to achieve a critical mass of resources. In this paper, we present the current status of ongoing work in this area, with a particular emphasis on the IEEE LTSC Learning Object Metadata standard [IEEE, 2001] and related developments in the context of the ISSS Learning Technologies Workshop [ISSS, 2001].

i-KNOW 2012

12th International Conference on Knowledge Management and Knowledge Technologies | 5 to 7 September 2012 | Messe Congress Graz, Austria

Tag Archives: metadata