Knowledge that quantifies the similarity between complex objects forms a vital part of problem-solving expertise within several knowledgeintensive tasks. This paper shows how implicit knowledge about object similarities is made explicit in the form of a similarity measure. The development of a similarity measure is highly domain-dependent. We will use the domain of fluidic engineering as a comp...

Syntactic similarity measures have been proposed as a technique to support scenario management and provide process guidance in scenario-based requirements analysis. Similarity measures support locating duplication and near-duplication between scenarios, searching in a collection of scenarios, identifying episodes shared among scenarios, and determining dependencies between scenarios. The effect...

This paper presents an aggregation approach of similarity measures for ontology matching called n-Harmony. The n-Harmony measure identifies top-n highest values in each similarity matrix to assign a weight to the corresponding similarity measure for aggregation. We can also exclude noisy similarity measures that have a low weight and the n-Harmony outperforms previous methods in our experimenta...

Similarity measures, originally introduced to express the degree of comparison between two fuzzy sets, can be applied in several ways to digital images. In [1–3] we have shown how similarity measures were used for the construction of image quality evaluation measures. In this paper we illustrate how fuzzy similarity measures can be useful for the comparison of histograms of digital images. We w...

This paper investigates the problem of geo-social similarity among users of online social networks, based on the locations of their activities (e.g., posting messages or photographs). Finding pairs of geo-socially similar users or detecting that two sets of locations (of activities) belong to the same user has important applications in privacy protection, recommendation systems, urban planning,...

In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph represe...

Distributional thesauri have been applied for a variety of tasks involving semantic relatedness. In this paper, we investigate the impact of three parameters: similarity measures, frequency thresholds and association scores. We focus on the robustness and stability of the resulting thesauri, measuring inter-thesaurus agreement when testing different parameter values. The results obtained show t...

The aim of this paper is to devise measures for similarity for querying an information base, that utilizes the knowledge represented in an ontology. The basis for this approach is an ontology defining the major concepts of the domain and a concept language defining a set of well-formed concepts. These concepts are to be used for description of the semantics of objects in the information base. W...

This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set. We show that when using a ”complement” of Rand Index as a measure of cluster similarity, the total-separation partition, putting each element in a separate set, is chosen.