Search results for " Semantic"
showing 10 items of 271 documents
Extracting Semantic Knowledge from Unstructured Text Using Embedded Controlled Language
2016
Nowadays, most of the data on the Web is still in the form of unstructured text. Knowledge extraction from unstructured text is highly desirable but extremely challenging due to the inherent ambiguity of natural language. In this article, we present an architecture of an information extraction system based on the concept of Embedded Controlled Language that allows for extracting formal semantic knowledge from an unstructured text corpus. Moreover, the presented approach has a potential to support multilingual input and output.
Combining OWL ontologies usingE-Connections
2006
The standardization of the Web Ontology Language (OWL) leaves (at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective knowledge reuse and sharing on the Semantic Web. In this paper, we present a solution for these fundamental problems based on E-Connections. We aim to use E-Connections to provide modelers with suitable means for developing Web ontologies in a modular way and to provide an alternative to the owl:imports construct. With such motivation, we present in this paper a syntactic and semantic extension of the Web Ontology language that covers E-Conn…
A Semantic Layer on Semi-structured Data Sources for Intuitive Chatbots
2009
The main limits of chatbot technology are related to the building of their knowledge representation and to their rigid information retrieval and dialogue capabilities, usually based on simple "pattern matching rules". The analysis of distributional properties of words in a texts corpus allows the creation of semantic spaces where represent and compare natural language elements. This space can be interpreted as a "conceptual" space where the axes represent the latent primitive concepts of the analyzed corpus. The presented work aims at exploiting the properties of a data-driven semantic/conceptual space built using semi-structured data sources freely available on the web, like Wikipedia. Thi…
Active Learning System in the Context of the Social Semantic Web
2013
In this paper we present the concept and the implementation of an Active Semantic Learning System that takes advantage of the Social Semantic Web in order to deliver an efficient and personalized learning experience to the learner. Active participation of the learner is encouraged through the social learning approach and through techniques that adapt the learning content to learners' needs and preferences. The semantic layer allows us to define a common understanding of the data used to describe the objects in the learning system. The objects in the learning system are described using semantic web technologies. Domain ontologies and explicit logic rules are defined in order to allow data in…
Using UDDI for Publishing Metadata of the Semantic Web
2006
Although UDDI does not provide support for semantic search, retrieval and storage, it is already accepted as an industrial standard and a huge number of services already store their service specifications in UDDI. Objective of this paper is to analyze possibilities and ways to use UDDI registry to allow utilization of meta-data encoded according to Semantic Web standards for semantic-based description, discovery and integration of web resources in the context of needs of two research projects: “Adaptive Services Grid” and “SmartResource”. We present an approach of mapping RDFS upper concepts to UDDI data model using tModel structure, which makes possible to store semantically annotated reso…
A KST-BASED SYSTEM FOR STUDENT TUTORING
2008
Abstract: A novel assessment procedure based on knowledge space theory (KST) is presented along with a complete implementation of an intelligent tutoring system. (ITS) that has been used to test our theoretical findings. The key idea is that correct assessment of the student knowledge is strictly related to the structure of the domain ontology. Suitable relationships between the concepts must be present to allow the creation of a reverse path from the "knowledge state" representing the student goal to the one that contains her actual knowledge about this topic. Knowledge space theory is a very good framework to guide the process of building the ontology used, by the artificial tutor The sys…
Schlegel y los enemigos de la ironía romántica
2007
Raga Rosaleny, Vicente - Vicente.Raga@uv.es La ironía de Schlegel, máximo representante, junto con Solger, de la ironía en el romanticismo alemán supuso una reinterpretación de la figura del Sócrates irónico de Platón. Sin embargo, su propuesta de una ironía pragmática fue rechazada de manera violenta por Hegel y Kierkegaard, que releyeron a Sócrates y su ironía enfrentándola a la de Schlegel. Para estos la propuesta del autor romántico era un reto a la sociedad que acabaría destruyéndola, pero, desde nuestra perspectiva tal lectura semántica de la ironía schlegeliana no se sostiene y, más bien, la propuesta del escritor alemán puede entenderse como un modo de crítica constructiva de la com…
ПРЕМЬЕР: Проактивная экосистема для глобальной интеграции корпоративных ресурсов
2012
We present PRIME software ecosystem, which connects heterogeneous resources from different layers of the Internet of Things and capable of handling complex interoperability scenarios involving: hardware devices, software-based systems and humans
Jason Intentional Learning: An Operational Semantics
2013
This paper introduces an operational semantics for defining Intentional Learning on Jason, the well known Java-based implementation of AgentSpeak(L). This semantics enables Jason to define agents capable of learning the reasons for adopting intentions based on their own experience. In this work, the use of the term Intentional Learning is strictly circumscribed to the practical rationality theory where plans are predefined and the target of the learning processes is to learn the reasons to adopt them as intentions. Top-Down Induction of Logical Decision Trees (TILDE) has proved to be a suitable mechanism for supporting learning on Jason: the first-order representation of TILDE is adequate t…
Using Social Networks to Enhance Customer Relationship Management
2013
International audience; In recent years, the Web has evolved into an exchange platform. Customer Relationship Management (CRM) must follow this evolution and connect CRM tools to social networks in order to place companies in the center of all the exchanges. We propose, in this article, a community detection approach that identi fies clusters of customers of a company using their explicit and implicit behaviour. Our contribution is the definition of a composite pro le that integrates various informations gathered from di erent applications, such as the information system of the company, the existing CRM, or Twitter. We de ne a similarity measure, between a user and a tag, that takes into ac…