Intelligent Search and Automatic Document Classification and Cataloging Based on Ontology Approach

This paper presents an approach to development of intelligent search system and automatic document classification and cataloging tools for CASE-system based on metadata. The described method uses advantages of ontology approach and traditional approach based on keywords. The method has powerful intelligent means and it can be integrated with existing document search systems.

Mobile Search and Advertising

Mobile advertising is a rapidly growing sector providing brands and marketing agencies the opportunity to connect with consumers beyond traditional and digital media and instead communicate directly on their mobile phones. Mobile advertising will be intrinsically linked with mobile search, which has transported from the internet to the mobile and is identified as an area of potential growth. The result of mobile searching show that as a general rule such search result exceed 160 characters; the dialog is required to deliver the relevant portion of a response to the mobile user. In this paper we focus initially on mobile search and mobile advert creation, and later the mechanism of interaction between the user’s request, the result of searching, advertising and dialog.

Technology of Storage and Processing of Electronic Documents with Intellectual Search Properties

The technology of record, storage and processing of the texts, based on creation of integer index cycles is discussed. Algorithms of exact-match search and search similar on the basis of inquiry in a natural language are considered. The software realizing offered approaches is described, and examples of the electronic archives possessing properties of intellectual search are resulted.

Effectiveness of Title-Search vs. Full-Text Search in the Web

Search engines sometimes apply the search on the full text of documents or web-pages; but sometimes they can apply the search on selected parts of the documents only, e.g. their titles. Full-text search may consume a lot of computing resources and time. It may be possible to save resources by applying the search on the titles of documents only, assuming that a title of a document provides a concise representation of its content. We tested this assumption using Google search engine. We ran search queries that have been defined by users, distinguishing between two types of queries/users: queries of users who are familiar with the area of the search, and queries of users who are not familiar with the area of the search. We found that searches which use titles provide similar and sometimes even (slightly) better results compared to searches which use the full-text. These results hold for both types of queries/users. Moreover, we found an advantage in title-search when searching in unfamiliar areas because the general terms used in queries in unfamiliar areas match better with general terms which tend to be used in document titles.

Мультиагентая Система для Интеллектуального Анализа Документов

В статье представлены промежуточные результаты реализации комплексного подхода к разработке подсистемы управления электронными документами в CASE-системе METAS, предназначенной для создания распределенных информационных систем, допускающих динамическую настройку на меняющиеся условия эксплуатации и потребности пользователей. Предлагается значительно увеличить эффективность работы с электронными документами за счет их автоматизированного интеллектуального анализа. В предлагаемом решении для анализа документов используются агентный и онтологический подходы. Онтологии позволяют в явном виде представить семантику и структуру документа. Использование агентов позволяет упростить процесс анализа, сделать его расширяемым и масштабируемым. Результаты интеллектуального поиска и обработки документов, получаемых из гетерогенных источников, могут быть использованы не только для автоматической классификации и каталогизации документов в информационной системе в удобной для пользователя форме, но и для снижения трудоемкости выполнения этапа анализа предметной области информационной системы, ее проектирования, а также для интеллектуализации процессов создания отчетных документов на основе информации, размещенной в базе данных системы.