A Cross-language Information Retrieval Based on an Arabic Ontology in the Legal Domain
نویسندگان
چکیده
In this paper, we describe a web-based multilingual tool for Arabic information retrieval based on ontology in the legal domain. We illustrate the manual construction of the ontology and the way it is edited using Protégé2000. Using Arabic (UN) documents we identify the legal terms and the semantic relations between them before mapping them onto their position in the ontology. The process of search for Arabic documents uses a query expansion. In addition to finding related documents in Arabic, the retrieval process is further enriched by enabling the user to translate the query into another language, The query expansion is achieved using a semantic word thesaurus namely, Wordnet, which is available on the Web. with a view to retrieve documents in these languages too. A set of query words is used to enable the machine translation of the query from Arabic into English and from Arabic into French.
منابع مشابه
Public Transport Ontology for Passenger Information Retrieval
Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...
متن کاملDeveloping a BIM-based Spatial Ontology for Semantic Querying of 3D Property Information
With the growing dominance of complex and multi-level urban structures, current cadastral systems, which are often developed based on 2D representations, are not capable of providing unambiguous spatial information about urban properties. Therefore, the concept of 3D cadastre is proposed to support 3D digital representation of land and properties and facilitate the communication of legal owners...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملتوسعه هستانشناسی فرایندمحور برای فناوریهای مدیریت دانش
This paper is an attempt to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them. The study applies NOY methodology. Protégé software and OWL language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM tec...
متن کاملOntology-based Query Expansion for Arabic Text Retrieval
The semantic resources are important parts in the Information Retrieval (IR) such as search engines, Question Answering (QA), etc., these resources should be available, readable and understandable. In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant information from unstructured information. This paper presents a semantic-based ...
متن کامل