A semantic link P2P network specifies and manages semantic relationships between peers’ data schemas. The proposed approach includes a tool for constructing and maintaining P2P semantic link networks, a semantic-based peer similarity measurement approach for efficient query routing, and peer schema mapping algorithms for query reformulation and heterogeneous data integration. The advantages of ...

The paper treats the developing of the semantic data models. On this basis the place and the function of PER model (processes, entity, relations) are traced.

Using distributional analysis methods to compute semantic proximity links between words has become commonplace in NLP. The resulting relations are often noisy or difficult to interpret in general. This paper focuses on the issues of evaluating a distributional resource and filtering the relations it contains, but instead of considering it in abstracto, we focus on pairs of words in context. In ...

Abstract. Predicting potential links between nodes in a network is a problem of great practical interest. Link prediction is mostly based on graph-based features and, recently, on approaches that consider the semantics of the domain. However, there is uncertainty in these predictions; by modeling it, one can improve prediction results. In this paper, we propose an algorithm for link prediction ...

This article studies the enunciative and semantic relations in reported speech, based on the analysis of the linguistic markers in the written media’s quotation practices. The categorisations and linguistic resources are to be used in several text annotations’ tasks, in the Semantic Web field, among others. MOTS-CLÉS : linguistique du discours, énonciation, typologie des citations, relations in...

Ontology automatic enrichment consists of adding automatically new concepts and/or new relations to an initial ontology built manually using a basic domain knowledge. In a concrete manner, enrichment is firstly, extracting concepts and relations from textual sources then putting them in their right emplacements in the initial ontology. However, the main issue in that process is how to preserve ...

3D virtual environment provides a limited amount of information, mainly focusing on visual information. This is the main cause of users losing the sense of direction in the environment. Many researches for developing a navigation tools that address this problem have been carried out. In this study, a navigation tool is designed by applying topic map, one of the technologies for semantic web con...

This study examines the relationship between two kinds of semantic spaces — i.e., spaces based on term frequency (tf) and word cooccurrence frequency (co) — and four semantic relations — i.e., synonymy, coordination, superordination, and collocation — by comparing, for each semantic relation, the performance of two semantic spaces in predicting word association. The simulation experiment demons...

Remarkable performance has been reported to recognize single object classes. Scalability to large numbers of classes however remains an important challenge for today’s recognition methods. Several authors have promoted knowledge transfer between classes as a key ingredient to address this challenge. However, in previous work the decision which knowledge to transfer has required either manual su...

The structure of most web sites consists of a composition of web pages that require varying amounts of time to render. Typically, web pages with large amount content (text/images/code) require more time to render than web pages with a smaller aggregate content size. Most users expect this discrepancy among web page rendering times. In this paper, we will describe a semantic link prefetching tec...