Semantic Similarity relates to computing the similarity between concepts which are not lexicographically similar. We investigate approaches semantic by mapping terms (concepts) an ontology and examining their relationships in that ontology. Some of most popular methods implemented evaluated using WordNet as underlying reference Building upon idea similarity, a novel information retrieval method is also proposed. This capable detecting similarities documents containing semantically similar...

We propose a method to handle approximate searching by image content in medical databases. Image is represented attributed relational graphs holding features of objects and relationships between objects. The relies on the assumption that fixed number "labeled" or "expected" (e.g., "heart", "lungs", etc.) are common all images given application domain addition variable "unexpected" "unlabeled" "tumor", "hematoma", etc.). can answer queries example, such as "find X-rays similar Smith's X-ray"....

Semantic Similarity relates to computing the similarity between conceptually similar but not necessarily lexically terms. Typically, semantic is computed by mapping terms an ontology and examining their relationships in that ontology. We investigate approaches natural language (using WordNet as underlying reference ontology) medical MeSH of biomedical terms). The most popular methods are implemented evaluated using MeSH. Building upon similarity, we propose based Retrieval Model (SSRM), a...

We propose an approach for matching distorted and possibly occluded shapes using dynamic programming (DP). distinguish among various cases of such as where the are scaled with respect to each other open shape matches whole or only a part another closed shape. Our algorithm treats noise distortions by allowing merged sequences consecutive small segments in larger shape, while being invariant translation, scale, orientation, starting point selection. illustrate effectiveness our retrieval on...

We propose a shape matching algorithm for deformed shapes based on dynamic programming. Our is capable of grouping together segments at finer scales in order to come up with appropriate correspondences coarser scales. illustrate the effectiveness our retrieval by content two different two-dimensional (2-D) datasets, one static hand gesture and another marine life shapes. also demonstrate superiority approach over traditional approaches retrieval, such as Fourier descriptors geometric...

We introduce ImageMap, as a method for indexing and similarity searching in image databases (IDBs). ImageMap answers "queries by example" involving any number of objects or regions taking into account their interrelationships. adopt the most general content representation, that is, Attributed Relational Graphs (ARGs), conjunction with well-accepted ARG editing distance on ARGs. tested real realistic medical images. Our not only provides visualization data set, clustering mining, but it also...

Representing dynamic information in the form of ontologies, as well querying and reasoning over static ontologies are areas interest this work. Building upon established standards semantic Web 4D-fluents approach for representing evolution temporal SOWL illustrates how spatial spatio-temporal space time can be efficiently represented OWL. It also demonstrates qualitative relations that common natural language expressions (i.e., between intervals like "before", "after", etc.) ontology....

The representation of temporal information has been in the center intensive research activities over years areas knowledge representation, databases and more recently, Semantic Web. proposed approach extends existing framework representing ont ologies by allowing for concepts evolving time (referred to as "dynamic" information) their properties terms qualitative descriptions addition quantitative ones (i.e., dates, instants intervals). For this purpose, we advocate use natural language...

We propose CHRONOS, a system for reasoning over temporal information in OWL ontologies. Representing both qualitative (i.e., whose extents are unknown such as "before", "after" relations) addition to quantitative where is defined precisely e.g., using dates) distinctive feature of the proposed approach. Qualitative representations very common natural language expressions free text or speech and can be proven valuable Semantic Web. CHRONOS reasoner applies relations order infer implied detect...

Today, IoT systems are designed and implemented to address specific challenges based on domain requirements, thus not taking into consideration issues of openness, scalability, interoperability use-case independence. As a result, they less principled, lacking standards, vendor oriented hardly replicable since the same architecture cannot be used in more than one use-cases. To fragmentation existing solutions, IoT-A project proposes an reference model that defines principles standards for...