Visualization in Ontology Tools

Lanzenberger, Monika; Sampson, Jennifer; Rester, Markus

doi:10.1109/cisis.2009.178

Cited by 38 publications

(25 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An extensive survey of different approaches and tools is given by Lanzenberger et al [3] and Katifori et al [4]. The approaches adapt wellknown information visualization techniques, which are used e.g., to represent hierarchical and non-hierarchical structures.…”

Section: Introductionmentioning

confidence: 99%

Knoocks - A Visualization Approach for OWL Lite Ontologies

Kriglstein

Wallner

2010

2010 International Conference on Complex, Intelligent and Software Intensive Systems

View full text Add to dashboard Cite

With increasing popularity of ontologies in various communities, visualizations of their content and structure became more and more important. In the past few years a number of visualization approaches were developed with the focus either on the representation of the relationships between classes or on the hierarchical structure and instances. However for several applications, a visualization which combines information about instances, classes and hierarchical as well as non-hierarchical relationships is from interest. In this paper we present Knoocks (Knowledge Blocks), which is a visualization approach with focus on both the interconnections within the ontology and the instances in conjunction with their hierarchical structure.

show abstract

Section: Introductionmentioning

confidence: 99%

Knoocks - A Visualization Approach for OWL Lite Ontologies

Kriglstein

Wallner

2010

2010 International Conference on Complex, Intelligent and Software Intensive Systems

View full text Add to dashboard Cite

show abstract

“…In the literature, there are several techniques and associated tools for the visualization and comprehension of large conceptual schemas or ontologies (see [11][12][13][14][15][16][17][18]). The group of techniques more appropriate for our purposes is the one called focus+context.…”

Section: Introductionmentioning

confidence: 99%

Understanding Constraint Expressions in Large Conceptual Schemas by Automatic Filtering

Villegas

Olivé

Sancho

2012

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Human understanding of constraint expressions (also called schema rules) in large conceptual schemas is very difficult. This is due to the fact that the elements (entity types, attributes, relationship types) involved in an expression are defined in different places in the schema, which may be very distant from each other and embedded in an intricate web of irrelevant elements. The problem is insignificant when the conceptual schema is small, but very significant when it is large. In this paper we describe a novel method that, given a set of constraint expressions and a large conceptual schema, automatically filters the conceptual schema, obtaining a smaller one that contains the elements of interest for the understanding of the expressions. We also show the application of the method to the important case of understanding the specification of event types, whose constraint expressions consists of a set of pre and postconditions. We have evaluated the method by means of its application to a set of large conceptual schemas. The results show that the method is effective and efficient. We deal with conceptual schemas in UML/OCL, but the method can be adapted to other languages.

show abstract

“…Many ontology authoring tools and suites come with a number of graphical views of RDF and ontology data. For example, the ontology engineering tool Protï£¡gï£¡, the most widespread in its field [14], comes with plugins such as IsaViz, OwlViz, or Jambalaya, all providing different visual representations of ontologies and RDF data [44]. Among the variety of other generic RDF visualization tools, two of the best-known are RDFGravity [29], and the visualization provided by the W3C's RDF validation service [67].…”

Section: Visualization Of Linked Datamentioning

confidence: 99%

Improving the usability of integrated applications by using interactive visualizations of linked data

Paulheim¹

2011

Proceedings of the International Conference on Web Intelligence, Mining and Semantics

View full text Add to dashboard Cite

Today, data is contained in many different, heterogeneous information systems. For turning that data into valuable information, those systems need to be integrated. System integration on the user interface level, e.g., in portals or mashups, allows users to access multiple applications in parallel and explore the information contained therein while reusing familiar and powerful user interfaces. Linked data can significantly add value by allowing uniform access to the data contained in the systems, and by letting reasoners discover hidden, non-explicit knowledge from that data.In this paper, we present an approach combining both paradigms. A framework for integrating user interfaces is enhanced by the Semantic Data Explorer, which is interlinked with the integrated applications in a hybrid view. With a quantitative user study conducted in the emergency management area, we show that hybrid visualizations of annotated data help gathering information from integrated systems, even for users who are not trained with ontologies and semantic networks.

show abstract

Visualization in Ontology Tools

Cited by 38 publications

References 36 publications

Knoocks - A Visualization Approach for OWL Lite Ontologies

Knoocks - A Visualization Approach for OWL Lite Ontologies

Understanding Constraint Expressions in Large Conceptual Schemas by Automatic Filtering

Improving the usability of integrated applications by using interactive visualizations of linked data

Contact Info

Product

Resources

About