In order to participate to the Linked Data for agriculture, we want to use AGROVOC that is a multilingual thesaurus maintained by FAO with more than 40,000 terms. We present here a state of the art about techniques proposed to transform a domain ontology from thesaurus. For this we will study ten methodologies along three axes: the extraction of classes, the extraction of the hierarchy and othe...

The AHRC-funded ‘Mapping Metaphor with the Historical Thesaurus’ project has traced the development of metaphor in English from Anglo-Saxon times to the present day using the unique evidence base of the Historical Thesaurus of the Oxford English Dictionary. The Historical Thesaurus organises the contents of the OED semantically, making it possible to see how vocabulary for any given concept has...

Since Web users’ queries are often too short, an accurate and interactive speech interface is believed very helpful, especially for WAP-based Web search engines. To provide high accurate speech recognition and effective interactive search, a rigid and live web thesaurus that contains users' search terms plus a set of relations between their associated terms is highly in demand. The purpose of t...

Software environments support the process of constructing and maintaining application systems. This paper describes the idea of a thesaurus1 as a viable foundation for software environments. A thesaurus contains information about the names and identifiers in all the software written in all the languages of an application. Information about extensional data in a database or persistent store is a...

The massive grow of the modern information retrieval system (IRS), especially in natural languages becomes more difficult. The search in Arabic languages, as natural language, is not good enough yet. This paper will try to build similar thesaurus based on Arabic language in two mechanisms, the first one is full word mechanisms and the other is stemmed mechanisms, and then to compare between the...

Prepositional Phrase (PP) attachment can be addressed by considering frequency counts of dependency triples seen in a non-annotated corpus. However, not all triples appear even in very big corpora. To solve this problem, several techniques have been used. We evaluate two different backoff methods, one based on WordNet and the other on a distributional (automatically created) thesaurus. We work ...

This p~q)er describes a. method for positio,ing unknown words in an existing thesa,rus by using word-to-word rela.tionships with relation (case) markers extracted from a large corpus. A suitable area (if the thesaurus for an unknown woM ix estimated l)y integrating the human intuition I)urled in the thesaurus and statistical data extracted from the corpus. To overcome the prohlem of data sparse...