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In this paper we propose and investigate Ontology Population from Textual Mentions (OPTM), a sub-task of Ontology Population from text where we assume that mentions for several kinds of entities (e.POLITICAL_ ENTITY) are already extracted from a document collection. On the one hand, OPTM simplifies the general Ontology Population task, limiting the input(More)
This paper describes the outcomes of the TimeLine task (Cross-Document Event Ordering), that was organised within the Time and Space track of SemEval-2015. Given a set of documents and a set of target entities, the task consisted of building a timeline for each entity , by detecting, anchoring in time and ordering the events involving that entity. The(More)
This paper presents the automatic extension to other languages of TERSEO, a knowledge-based system for the recognition and normalization of temporal expressions originally developed for Span-ish 1. TERSEO was first extended to En-glish through the automatic translation of the temporal expressions. Then, an improved porting process was applied to Ital-ian,(More)
Most of the data stored in the Semantic Web is organized in schema models, which can be represented as labeled graphs where labels are short natural language expressions. Examples of schema models include ER-schema automata, ontologies, taxonomies, and Web Directories. The semantics of schema models is not explicit but is hidden in their structures and(More)
This paper describes an automatic algorithm of meaning negotiation that enables semantic interoperability between local overlapping and heterogeneous ontologies. Rather than reconciling differences between heterogeneous ontologies, this algorithm searches for mappings between concepts of different ontologies. The algorithm is composed of three main steps:(More)
This paper presents the general objectives of the ONTOTEXT project (From Text to Knowledge for the Semantic Web), and the activities carried out during the first year of its development cycle. First, the task of annotating huge amounts of textual data (e.g. those available on the Web or in local document collections) will be introduced, focusing on its(More)