AI-Based System for Arabic Search Engine

نویسندگان

  • Mohammed Q. Shatnawi
  • Qusai Abuein
  • Reem Mahafza
چکیده

Huge amount of Arabic information and documents are widely spread on the Internet. The accuracy of searching for Arabic documents, as well as other documents, depends on the terms used by the user in the input query to retrieve relevant results and to reduce irrelevant ones. Most results returned are relevant to the query terms not to its meaning. For example, searching for “ ت ص ل ب ا ل ش ر ا ی ی ن – tasallob Al-sharayeen” which means arteriosclerosis will not give results related to “ ا ل ج ل ط ة – Al-jalta” which means clot and “ أ ن و ا ع ا ل ج ل ط ا ت anwa’a Al-jaltat” which means types of clots and so on. To solve such problem, this paper proposes an AI system for Arabic search that allowing users to talk to it directly (Ask) questions and Seek clarifications. It will also be able to analyze dynamically hundreds of potential search results / web pages, by starting an Informed – Friendly dialogue and present Innovative answers for the user. Using an interactive AI Arabic search engine with its smart interaction with the users will help finding the best probable results using the least amount of user targeted inquiries.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore

Due to the huge amount of data published on the Web, the Web search process has become more difficult, and it is sometimes hard to get the expected results, especially when the users are less certain about their information needs. Several efforts have been proposed to support exploratory search on the web by using query expansion, faceted search, or supplementary information extracted from exte...

متن کامل

Review of ranked-based and unranked-based metrics for determining the effectiveness of search engines

Purpose: Traditionally, there have many metrics for evaluating the search engine, nevertheless various researchers’ proposed new metrics in recent years. Aware of this new metrics is essential to conduct research on evaluation of the search engine field. So, the purpose of this study was to provide an analysis of important and new metrics for evaluating the search engines. Methodology: This is ...

متن کامل

Evaluating First Order Formulas—the foundation for a general Search Engine

Search and declarative representations are two of the most important themes in AI research. Many problems in AI require search for their solution, and declarative representations of the knowledge required to solve these problems offer many advantages. In this paper we show how these two themes can be combined. In particular, we show how a general search engine can be designed that is based on t...

متن کامل

تشخیص اسامی اشخاص با استفاده از تزریق کلمه‌های نامزد اسم در میدان‌های تصادفی شرطی برای زبان عربی

Named Entity Recognition and Extraction are very important tasks for discovering proper names including persons, locations, date, and time, inside electronic textual resources. Accurate named entity recognition system is an essential utility to resolve fundamental problems in question answering systems, summary extraction, information retrieval and extraction, machine translation, video interpr...

متن کامل

Ontology-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

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013