Several algorithms have been proposed for discovering patterns from trajectories of moving objects, but only a few have concentrated on outlier detection. Existing approaches, in general, discover spatial outliers, and do not provide any further analysis of the patterns. In this paper we introduce semantic spatial and spatio-temporal outliers and propose a new algorithm for trajectory outlier d...

In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of “distributionally similar” terms, possibly involved in a semantic relation. To validate and label the anonymous relations holding between the terms in input, the candidate pairs of terms are looked for on the Web in the context of reliable le...

Resumen: Investigamos la posibilidad de obtener patrones semm anticos a gran es-cala para cualquier lengua usando solamente ann alisis superrcial y generalizaciones semm anticas bb asicas. Siendo este un experimento exploratorio ss olo hemos realizado una evaluacii on cualitativa. Hemos comparado varios patrones semm anticos de tra-duccii on de verbos equivalentes en distintas lenguas y dominio...

At 10 years of age, there is little doubt that the Semantic Web is an engineering success, with substantial (and growing) take-up in business, government and media. However, as a scientific field, have we discovered any general principles? Have we uncovered any universal patterns that give us insights into the structure of data, information and knowledge, patterns that are valid beyond the engi...

Patterns of crosslinguistic variation in the expression of word meaning are informative about semantic organization, but most methods to study this are labor intensive and obscure the gradient nature of concepts. We propose an automatic method for extracting crosslinguistic co-categorization patterns from parallel texts, and explore the properties of the data as a potential source for automatic...

The transition from existing World Wide Web content to the Semantic Web relies on the labeling and classification of existing information before it is useful to end-users and their agents. This paper presents a wrapper induction system designed to allow end-users to create, modify, and utilize semantic patterns on unlabeled World Wide Web documents. These patterns allow users to overlay documen...

A RULE-BASED APPROACH FOR CONVERTING WIKIPEDIA CONTENT INTO SEMANTIC RELATIONS In this thesis, we propose a method for conversion from natural language into semantic relations. In this research, we focus on text written in highly unstructured form. The method is based on analysis of grammatical patterns of the sentences chosen from Wikipedia. Regular expressions are used for the generation of g...

We propose a conceptually and technically neat method to identify known semantic patterns close to a novel pattern. This occurs in the context of a system to acquire knowledge incrementally from systematically processed expository technical text. This semiautomatic system requires the user to respond to specific multiple-choice questions about the current sentence. The questions are prepared fr...

In content-based image retrieval (CBIR), the effectiveness of the low-level features depends on their capabilities in describing the high-level semantic concepts. How to properly evaluate such an effectiveness remains a challenge. In this paper, we address the evaluation problem by using the decisive feature patterns of the low-level features. Intuitively, a decisive feature pattern is a combin...

This paper describes a non-statistical approach for semantic annotation of documents by analysing their syntax and by using semantic/syntactic behaviour patterns described in VerbNet. We use a two-stage approach, firstly identifying the semantic roles in a sentence, and then using these roles to represent some of the relations between the concepts in the sentence and a list of noun behaviour pa...