Search results for " Retrieval"
showing 10 items of 1114 documents
HOWERD: A Hidden Markov Model for Automatic OWL-ERD Alignment
2016
The HOWERD model for estimating the most likely alignment between an OWL ontology and an Entity Relation Diagram (ERD) is presented. Automatic alignment between relational schema and ontology represents a big challenge in Semantic Web research due to the different expressiveness of these representations. A relational schema is less expressive than the ontology; this is a non trivial problem when accessing data via an ontology and for ontology storing by means of a relational schema. Existent alignment methodologies fail in loosing some contents of the involved representations because the ontology captures more semantic information, and several elements are left unaligned. HOWERD relies on a…
Artificial intelligence in the diagnosis of pediatric allergic diseases.
2020
Abstract: Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention and wellness, clinical decision support, care delivery, and chronic care management have been identified within the healthcare areas that could benefit from introducing AI. In pediatric allergy research, the recent developments in AI approach provided new perspectives for characterizing the heterogeneity of allergic diseases among patients. Moreover, the increasing use of electronic health records and personal healthcare records highlighted the relevance of AI in …
Linear Feature Extraction for Ranking
2018
We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix. We try to optimize a transformation matrix, so that a new matrix (dataset) can be generated as the product of the original matrix and a transformation matrix. The transformation matrix projects high-dimensional document vectors into lower dimensions. Theoretically, there could be very large transformation matrices, each leading to a new generated matrix. In LifeRank, we produce a transformation matrix so that the generat…
VEBO: Validation of E-R diagrams through ontologies and WordNet
2012
In the semantic web vision, ontologies are building blocks for providing applications with a high level description of the operating environment in support of interoperability and semantic capabilities. The importance of ontologies in this respect is clearly stated in many works. Another crucial issue to increase the semantic aspect of web is to enrich the level of expressivity of database related data. Nowadays, databases are the primary source of information for dynamical web sites. The linguistic data used to build the database structure could be relevant for extracting meaningful information. In most cases, this type of information is not used for information retrieval. The work present…
Privacy Versus Security in the Internet Era
2015
Abstract There are a lots of conflict going on in the world right now. One of this conflict we are put into discussion here, is the battle for supremacy in the internet, the battle between privacy and security. We are changing fundamentally the way we are doing things till the Internet era arrive. Every data that we use online became a product. There is no more private information, everything became public with or without the population will. There are also a lot of discussion about who have a greater power on the Internet, government, companies, hackers, criminals, terrorists, or others. Unfortunately the neuter population is catch in the middle of this battle.
<title>Multifeature image and video content-based storage and retrieval</title>
1996
In this paper we present most recent evolution of JACOB, a system we developed for image and video content-based storage and retrieval. The system is based on two separate archives: a 'features DB' and a 'raw-data DB'. When a user puts a query, a search is done in the 'features DB'; the selected items are taken form the 'raw-data DB' and shown to the user. Two kinds of sessions are allowed: 'database population' and 'database querying'. During a 'database population' session the user inserts new data into the archive. The input data can consist of digital images or videos. Videos are split into shots and for each shot one or more representative frames are automatically extracted. Shots and …
Population and Query Interface for a Content-Based Video Database
2002
In this paper we describe the first full implementation of a content-based indexing and retrieval system for MPEG-2 and MPEG-4 videos. We consider a video as a collection of spatiotemporal segments called video objects; each video object is a sequence of video object planes. A set of representative video object planes is used to index each video object. During the database population, the operator, using a semi-automatic outlining tool we developed, manually selects video objects and insert some semantical information. Low-level visual features like color, texture, motion and geometry are automatically computed. The system has been implemented on a commercial relational DBMS and is based on…
3D inter-subject medical image registration by scatter search
2005
Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matching is an image registration approach based on searching for the right pairing of points between the two images. From this matching, the registration transformation we are searching, can be inferred by means of numerical methods. In this paper, we propose a scatter search (SS) algorithm to solve the matching problem. SS is a hybrid metaheuristic with a good trade-off between search space diversification and intensification. On the one hand, diversity is basically introduced from a population-based approach where syst…
Elliptical Fourier Descriptors for shape retrieval in biological images
2002
The retrieval of information in a standard database can be obtained in different ways and in some cases a number of steps are necessary to extract the sought for information. More difficulties exist when we are looking for a pictorial information in a database. This paper presents a method for finding an image in a biological database based on elliptical Fourier descriptors. Fourier descriptors are considered here as textual information and a distance function is proposed to evaluate the best result. Fourier descriptors and distance function are used to retrieve image in pictorial database.
What hampers green product innovation: the effect of experience
2019
Based on representative firm-level survey data for Austria, Germany, and Switzerland, this study systematically analyzes the relevance and drivers of barriers to green product innovation using the example of green energy technologies. “Low willingness to pay”, “high development costs”, “high commercial uncertainty”, and “lack of favorable political framework” are identified as the most important barriers. Moreover, we find that the firms’ innovation experience is an important driver of the level of green innovation barriers. Green innovation barriers are more accentuated for firms with green innovation activity than for firms with no green innovation activity. However, experience from diffe…