Search results for "SIMILARITY"
showing 10 items of 474 documents
A Combined Fuzzy Semantic Similarity Measure In Owl Ontologies
2008
An algorithm is presented in this paper to calculate a semantic similarity measure inside an OWL ontology. The formulation is based on a combined measure taking into account the two most important aspects involved in the similarity computation. These are the structural properties of a concept, and the information content inside the ontology. We define a fuzzy system to blend these information sources with a training process over some ontologies. Finding a similarity measure between concepts of an ontology is a fundamental topic to accomplish information exchange on the Web. Through this measure it is possible to perform sophisticated queries over the web where the user is able to request co…
Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds
2007
Visual exploration of scientific data in life science\ud area is a growing research field due to the large amount of\ud available data. The Kohonen’s Self Organizing Map (SOM) is\ud a widely used tool for visualization of multidimensional data.\ud In this paper we present a fast learning algorithm for SOMs\ud that uses a simulated annealing method to adapt the learning\ud parameters. The algorithm has been adopted in a data analysis\ud framework for the generation of similarity maps. Such maps\ud provide an effective tool for the visual exploration of large and\ud multi-dimensional input spaces. The approach has been applied\ud to data generated during the High Throughput Screening\ud of mo…
Medical image registration: Interpolations, similarities and optimizations strategies
2010
This paper presents a study conducted for evaluating different interpolation schemes, similarity metrics and optimization algorithms for the purpose of volumetric medical image registration. Each technique has been implemented to be plugged in a modular system. Rotation, translation and scale error has been measured to obtain a performance evaluation for all of the combinations of the considered techniques. Several experimental tests were conducted for validation both on synthetic and real datasets providing an exhaustive overview of the various strategies used.
Effective and Efficient Interpolation for Mutual Information based Multimodality Elastic Image Registration
2009
Mutual information (MI) is a popular similarity metric for multimodality image registration purpose. However, it is negatively influenced by artifacts due to interpolation effects. As a result, registration algorithms performance could be affected. In this paper a novel interpolation scheme is presented. It is both effective and efficient. Effective because it limits the presence of local maxima in the mutual information curve, efficient because it is simple to compute being based on simple and optimized distance measures. The method is validated and compared against other techniques both from performance and time complexity persepectives. Differently from other reference works, which perfo…
Automatic Illustration of Short Texts via Web Images
2015
In this paper we propose a totally unsupervised and automatic illustration method, which aims to find onto the Web a set of images to illustrate the content of an input short text. The text is modelled as a semantic space and a set of relevant keywords is extracted. We compare and discuss different methods to create semantic representations by keyword extraction. Keywords are used to query Google Image Search engine for a list of relevant images. We also extract information from the Web pages that include the retrieved images, to create an Image Semantic Space, which is compared to the Text Semantic Space in order to rank the list of retrieved images. Tests showed that our method achieves v…
Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results
2009
Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a time consuming procedure and the obtained dissimilarity results is not a metric. Recently, the normalised compression distance was introduced as a method to calculate the distance between two generic digital objects and it seems a suitable way to compare genomic strings. In this paper, the clustering and the non-linear mapping obtained using the evolutionary distance and the compression distance are compared, in order to understand if the two distances sets are similar.
Named Entity Recognition and Linking in Tweets Based on Linguistic Similarity
2017
This work proposes a novel approach in Named Entity rEcognition and Linking (NEEL) in tweets, applying the same strategy already presented for Question Answering (QA) by the same authors. The previous work describes a rule-based and ontology-based system that attempts to retrieve the correct answer to a query from the DBPedia ontology through a similarity measure between the query and the ontology labels. In this paper, a tweet is interpreted as a query for the QA system: both the text and the thread of a tweet are a sequence of statements that have been linked to the ontology. Provided that tweets make extensive use of informal language, the similarity measure and the underlying processes …
Facebook as a Small World: a topological hypothesis
2011
Facebook is becoming a pervasive entity as its social, cultural and media ramifications grow deep and entrenched in our daily life. Its nature of a complex system of interactions, bearing a strong similarity to networks built through individual choices and systems shaped by evolu- tionary pressure, makes it an interesting target for research. Scale-free Small World networks, recently popularized by Barabasi, are a topological class pertaining to both these domains, whose members have resilience to disruption and short intermediate connections between nodes. In this paper we show that the topological structure of a specific subset of Facebook, gathered using data from a self-report online qu…
Analogy
2020
Analogy is a mode of reasoning that is employed in problem solving, logic, science and art. The scheme of analogical reasoning is centred on the detection of similarity or common features across domains. Copi and Cohen (2005), Keynes (1921), Carnap (1980) suggested what analogical reasoning consists of. De Finetti (1938) proposed an alternative treatment of analogy as inference on what is invariant across statistical distributions of distinct event kinds. In problem solving theory, cognitive models of the content and the structural mapping of analogy has been built. Science and art has provided important test beds for models.
Similarity in self-enhancement and self-transcendence values between young adults and their parents and friends
2012
This study investigates similarities between the 'self-enhancement' and 'self-transcendence' values of young adults and the corresponding values of their parents and friends, examining both mean level and correlational similarities. Participants included 193 Italian young adults along with their parents and friends (one male and one female) who each reported on their own self-enhancement and self-transcendence values. Results showed that young adults were more similar to their friends than to their parents on mean levels of values. Females reported valuing self-transcendence more and self-enhancement less than males. Considering correlational similarity, male young adults' self-transcendenc…