Search results for " Semantic"

Web 2.0 under the light of free software

2009

The development of Web 2.0 has favoured a closer relation between Internet users and the different web applications that facilitate creating, sharing and structuring digital information in a horizontal and collaborative way through so-called social software. Social software includes tools that are familiar to us all, such as chats, forums, blogs, wikis, syndication standards (RSS type), social tagging, multimedia file sharing, social networking, etc. They are tools oriented to give the user a greater capacity of interaction, and a stronger control over the content and the format in which they can be presented.

Gradazione e linguaggi specialistici

2008

Semantics of Voids within Data: Ignorance-Aware Machine Learning

2021

Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to buil…

General Adaption Framework

2005

Integration of heterogeneous applications and data sources into an interoperable system is one of the most relevant challenges for many knowledge-based corporations nowadays. Development of a global environment that would support knowledge transfer from human experts to automated Web services, which are able to learn, is a very profit-promising and challenging task. The domain of industrial maintenance is not an exception. This paper outlines in detail an approach for adaptation of heterogeneous Web resources into a unified environment as a first step toward interoperability of smart industrial resources, where distributed human experts and learning Web services are utilized by various devi…

Towards a Framework for Agent-Enabled Semantic Web Service Composition

2004

The article presents the framework for agent-enabled dynamic Web service composition. The core of the methodology is the new understanding of a Web service as an agent capability having proper ontological description. It is demonstrated how diverse Web services may be composed and mediated by dynamic coalitions of software agents collaboratively performing tasks for service requestors. Middle Agent Layer is introduced to conduct service request to task transformation, agent-enabled cooperative task decomposition and performance. Discussed are the formal means to arrange agents’ negotiation, to represent the semantic structure of the task-activity-service hierarchy and to assess fellow-agent…

Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context

2013

pp. 363-372; International audience; The success of shaping the e-society is crucially dependent on how well technology adapts to the needs of each single user. A thorough understanding of one's personality, interests, and social connections facilitate the integration of ICT solutions into one's everyday life. The MindMinings project aims to build an advanced user profile, based on the automatic processing of a user's navigation traces on the Web. Given the various needs underpinned by our goal (e.g. integration of heterogeneous sources and automatic content extraction), we have selected Semantic Web technologies for their capacity to deliver machine-processable information. Indeed, we have…

Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”

2019

This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

A web search methodology for different user typologies

2009

Search engines and directories are the main tools used to find desired information into the ocean of digital contents that is the Web. However, they are not presently able to understand the user specific needs and starting knowledge because their inability to simulate the processes of human mind. Natural Language Processing, Folksonomy, Semantic Web and Serendipitous Surfing are some of the recent research fields towards understanding of human natural language and in general of real user needs. This work aims to add one step more to this evolution path by presenting a new search methodology that allows users to create new knowledge paths on the web based on their specific requirements. Thus…

Informal learning through expertise mining in the social web

2012

The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The challenge for companies and research institutions is now to develop semi-automated tools for gathering usable and explicit knowledge from such content. With the aim of facilitating the achievement of such a challenge, in this work a platform architecture for informal learning, which is based on semantic technologies, is proposed. Such platform perm…

THE ROLE OF SEMANTIC BORROWING IN THE FORMATION OF ECONOMIC TERMS

2014

Specialized terms can result from a number of semantic processes (e.g. meaning extension, meaning narrowing, meaning transfer), which affect words from the general vocabulary. In their turn, these processes can be language internal and take place in the absence of any influence from the outside, or can be triggered by the importation of new things, ideas, etc from another culture and the contact with the language of this culture. The present paper analyses the way in which the worldwide influence English is exerting today has led to the creation of new words in the Romanian vocabulary of business and economics. Our sole focus of attention is constituted by semantic borrowing, or the importa…