Wikis have proven to be a useful tool for knowledge creation, sharing, and archival in a number of application fields. Their unstructured, flat nature makes them an easy-to-use tool for many purposes, while simultaneously imposing a significant problem: especially when wikis grow in size, content becomes hard to find and navigate. Semantic wikis enrich traditional wikis with semantic annotation...

Existing semantic segmentation methods mostly rely on per-pixel supervision, unable to capture structural regularity present in natural images. Instead of learning to enforce semantic labels on individual pixels, we propose to enforce affinity field patterns in individual pixel neighbourhoods, i.e., the semantic label patterns of whether neighbouring pixels are in the same segment should match ...

this research titeled (semantic change in the quranic words: praise prophet reverence) this study is about how to transform from the meaning to another. in this article we looked lexical and semantic meaning of three words of quran in pre-islamic era until the end of sending quran. we studied the influence of islam in changing word semantically. islam does not bring new words but added them new...

Computing the semantic relatedness between two words or phrases is an important problem in fields such as information retrieval and natural language processing. Explicit Semantic Analysis (ESA), a state-of-the-art approach to solve the problem uses word frequency to estimate relevance. Therefore, the relevance of words with low frequency cannot always be well estimated. To improve the relevance...

Visions of a ‘semantic web’ and the technologies, standards and services associated with it have the potential to support and enhance teaching and learning. As yet, this potential has not been practically demonstrated in ways that are accessible to teachers and students. ‘Ensemble: Semantic Technologies to Support the Teaching and Learning of Case Based Learning’ is currently exploring the pote...

Semantic relations of different types have played an important role in wordnet, and have been widely recognized in various fields. In recent years, with the growing interests of constructing semantic network in support of intelligent systems, automatic semantic relation discovery has become an urgent task. This paper aims to extract semantic relations relying on the in situ morpho-semantic stru...

This paper presents a novel way to bias the sampling domain of stochastic planners by learning from example plans. We learn a generative model of a planner as a function of proximity to labeled objects in the workspace. Our motivation is that certain objects in the workspace have a local influence on planning strategies, which is dependent not only on where they are but also on what they are. W...

Although with the Semantic Web initiative much research on web page semantic annotation has already been done by AI researchers, linguistic text annotation, including the semantic one, was originally developed in Corpus Linguistics and its results have been somehow neglected by AI. The purpose of the research presented in this proposal is to prove that integration of results in both fields is n...

In this paper we present a 3D semantic outdoor mapping system with multi-label and resolution octree maps based on the OctoMap mapping framework. The semantic labeling of point clouds uses conditional random fields. Speeding up the conditional random field, we use an adaptive graph downsampling method based on voxel grids and the histogram-of-oriented-residuals operator to describe the local po...

Multimedia documentalists need effective tools to organize and search into large video collections. Semantic video structuring consists in automatically extracting from the raw data the inner structure of a video collection. This high-level information if automatically extracted would provide important meta information enabling the development of an important new range of applications to browse...