Information Extraction and Gathering for Search Engines: The Taylor Approach

نویسنده

  • François Paradis
چکیده

In this paper we present Taylor, a search engine designed to reduce the effort required by a user for the perusal of documents. This is accomplished by delivering document passages to the user, rather than a list of pointers to documents. We discussed our strategy, called extraction/gathering, where passages are extracted according to the query and the document structure, and gathered and delivered using virtual document technology. We describe Taylor and one of its application to a collection of Java-related documents.

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

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

An Adaptive, Ontology-Based Information Gathering Multi-Agent System for Restricted Web Domains

Due to Web size and diversity of information, relevant information gathering on the Web turns out to be a highly complex task. The main problem with most information retrieval approaches is neglecting pages’ context, given their inner deficiency: search engines are based on keyword indexing, which cannot capture context. Considering restricted domains, taking into account contexts, with the use...

متن کامل

روش جدید متن‌کاوی برای استخراج اطلاعات زمینه کاربر به‌منظور بهبود رتبه‌بندی نتایج موتور جستجو

Today, the importance of text processing and its usages is well known among researchers and students. The amount of textual, documental materials increase day by day. So we need useful ways to save them and retrieve information from these materials. For example, search engines such as Google, Yahoo, Bing and etc. need to read so many web documents and retrieve the most similar ones to the user ...

متن کامل

Discovering Popular Clicks\' Pattern of Teen Users for Query Recommendation

Search engines are still the most important gates for information search in internet. In this regard, providing the best response in the shortest time possible to the user's request is still desired. Normally, search engines are designed for adults and few policies have been employed considering teen users. Teen users are more biased in clicking the results list than are adult users. This leads...

متن کامل

Adaptive Agents for Information Gathering from Multiple, Distributed Information Sources

The expansion of information available on the Web has been explosive. The initial approach of collecting all Web pages into a single location and indexing them is limited in its ability to deal with this explosion. Different search engines provide access to different collections, requiring users to access multiple information sources to meet their needs. A scalable approach to information gathe...

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 2000