FP6Индивидуална стипендия2005–2007

NGWEMIS · Searching

6РП — Действия „Мария Кюри“

Период: 2005-08-01 → 2007-01-31
Финансиране от ЕС: 157 399 €
Участници: 1
Схема: EIF

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Новите методи за търсене в мрежата анализират не само ключови думи, но и потребителски отметки и смислови връзки между страниците. Това помага за създаване на децентрализирани системи, които не зависят от няколко големи търсачки.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Цел на проекта

The Web in it s current form presents the following challenges:- Web data collection, storage and management is carried out mainly by few large scale commercial organizations, leading to an oligopoly if not to a monopoly in web data management and searching.- Web search is predominantly based on keyword search reducing this important procedure in a simple string matching issue while disregards broader similarity aspects such as semantics, link structures, etc.- Web data search and organization is currently dominated by authority ranking [2] disregarding other very interesting dimensions that could validly affect a page ranking such as: users' bookmarks, click streams, personalized ontologies etc.The main objective of the proposed project is the design guidelines and prototypes development for next generation web mining and searching techniques. In this context the project will contribute advances in the following areas:- collection of web data (crawling),study and adoption of a P2P model for crawling that will be characterized by a completely distributed and decentralized Peer-to-Peer (P2P) crawler.- web data characterization and semantics extraction. The web pages' characterization procedure will take into account, in addition to the authority rank other dimensions such as: users book marks, click streams (web logs), semantic similarity based on ontologies in conjunction to link structures, etc.- organization and searching of such collections. Here the objective will be the computationally and semantically efficient organization of web documents into semantically coherent clusters.In order to achieve this the following constituent objectives have to be met:- the design of similarity measures that enable taking into account aggregate similarity among sets

Оригинален текст от CORDIS (на английски).

Участници

INRIA - THE FRENCH NATIONAL INSTITUTE FOR RESEARCH IN COMPUTER SCIENCE AND CONTROL · ORSAYКоординаторНиво градФранция

Връзки

Виж в CORDIS