This paper addresses the problem of semantic parsing, by which natural language sentences are translated into a form which conveys their underlying meaning. Semantic parsing involves a parameter estimation process, which is a convex optimization problem. The optimization formulation of previous approaches often requires huge amount of time to converge due to the high dimensional feature space. ...

Semantic Web, Web services and Peer-to-Peer technology constitute three relevant topics from which technology for knowledge sharing can benefit. The advantages ranging from the convergence of Semantic Web, Web services and Peer-to-Peer technology into the emerging Semantic P2P services have just been outlined. In this document we give an overview of the recent approaches in literature on semant...

The semantic grid is the result of semantic web and grid researchers building bridges in recognition of the shared vision and research agenda of both fields. This paper builds on prior experiences with both agents and grids to illustrate the benefits of bringing agents into the mix. Because semantic grids represent and reason about knowledge declaratively, additional capabilities typical of age...

Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), involve an iterative process of model optimization to identify different types of words or semantic entities. This optimization to achieve a more precise model becomes computationally difficult as the number of iterations increase. The small datasets available for training typically limit the models. Adding iterati...

It has been shown previously that liking and valence of associations in response to artworks show greater convergence across viewers for representational than for abstract artwork. The current research explored whether the same applies to the semantic content of the associations. We used data gained with an adapted unique corporate association valence measure, which invited 24 participants to g...

In this paper, we present an intelligent ubiquitous middleware which provides semantic service discovery based on context-awareness and a variety of intelligent ubiquitous convergence services for the applications of ubiquitous city. It is composed of four layers: Common Interface Layer, Context-aware Computing Layer, Ubiquitous Core Computing Layer and Grid Computing Layer. The layers cooperat...

This paper advances the case that linguistics requires a unified theory of number, serviceable to both semantics and morphology, by proving that the morphological concept of augmentation and the semantic concept of cumulation are near logical equivalents. From this emerge an inventory of number features incorporating the categories ‘paucal’ and ‘unit augmented’, a typology of number systems cro...

The Social Semantic Web is the data space on the Web where human produced information are enriched and modeled using Semantic Web standards. This vision is enabled by the convergence between Web 2.0 and Web 3.0 but still, it’s far from be put into practice. Moreover, this miss causes drawbacks such as data redundancies and overhead in the development of social applications. In this paper we dis...

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can...

The discussion on the importance of Semantic Web for the promotion of Information systems is extremely interesting. In this first newsletter we tried through personal invitations to outline only few aspects of the convergence of SW and IS. As we already mentioned in the editorial of NEWS, the Inaugural Issue of the International Journal on Semantic Web and Information Systems Journal (at the en...