The limited coverage of available Arabic language lexicons causes a serious challenge in Arabic cross language information retrieval. Translation in cross language information retrieval consists of assigning one of the semantic representation terms in the target language to the intended query. Despite the problem of the completeness of the dictionary, we also face the problem of which one of th...

This paper demonstrates how to generate natural language sentences from the pieces of data found in databases in the domain of flight tickets. By using NooJ to add context to specific customer data found in customer data sets, we are able to produce sentences that give a short textual summary of each customer, providing a list of possible suggestions how to proceed. In addition, due to the rich...

The Temporal Versions Model (TVM) is an Object Oriented Data Model developed to store the object versions and, for each version, the history of its dynamic attributes and relationships values. In this work, we propose a query language for this model. The language, called Temporal Versioned Query Language TVQL, is based on SQL, adding new features to recover temporal information and versions. An...

A relation is an unordered collection of records. Often, however, there is an underlying order (e.g., a sequence of stock prices), and users want to pose queries that reflect this order (e.g., find a weekly moving average). SQL provides no support for posing such queries. In this paper, we show how a rich class of queries reflecting sort order can be naturally expressed and efficiently executed...

Incorporating SQL questions from normal language is a long-standing open issue and has been drawing in extensive intrigue as of late. Natural Language Interface (NLI) the confluence Processing (NLP) Human-Computer Interaction, which allows interaction between humans computers through utilization Language. Here we are gonna deal with problem automatic generation Structured Query (SQL) queries. d...

Relational query languages such as SQL and QBE are less than ideal for end user queries since they require users to work explicitly with structures at the relational level, rather than at the conceptual level where they naturally communicate. ConQuer is a new conceptual query language that allows users to formulate queries naturally in terms of elementary relationships, and operators such as “a...

Extracting information from database is typically done by using a structured language such as SQL (Structured Query Language). But non expert users can’t use this later. Wherefore using Natural Language (NL) for communicating with database can be a powerful tool. But without any help, computers can’t understand this language; that is why it is essential to develop an interface able to translate...

In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the users to define their own scenarios based on semantic events and (3) retrieves videos with both exact matching and similarity matching. For a query language, four main issues must be addressed: data modeling, query f...

In this paper, we propose a novel unsupervised approach to query segmentation using the word alignment model which is usually adopted in statistical machine translation system. Query segmentation is to obtain complete phrases or concepts in a query by segmenting a sequence of query terms, which is an important query processing procedure for improving information retrieval performance in search ...

With the growth of the Internet, directory softwares have recently proliferated. The Lightweight Directory Access Protocol (LDAPv3 [18]) is the standard, proposed by the Internet Engineering Task Force (IETF [9]) for modelling and querying network directory information, as well as accessing network directory services. More recently, several extensions have been proposed to the directory model t...