STRUCTURAL WEB SEARCH ENGINE

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structural Web Search Engine

We present a new approach in web search engines. The web creates new challenges for information retrieval. The vast improvement in information access is not the only advantage resulting from the keyword search. Additionally, much potential exists for analyzing interests and relationships within the structure of the web. The creation of a hyperlink by the author of a web page explicitly represen...

متن کامل

Semantic Web Search Engine

In this report, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and retrieval of information; unlike traditional search engines, SWSE operates over RDF Web data (loosely also known as Linked Data) which implies u...

متن کامل

A Similarity Web Search Engine

Traditional search engines (i.e., Google web search engine) use keywords and perform exact matching to find the target web pages and assign each page with some priority using some algorithms (i.e., PageRank) to capture the popularity. However, there are two problems with this kind of searching. First, it treats the input as individual words instead of a whole document. Second, it performs exact...

متن کامل

Towards a Distributed Web Search Engine

We present recent and on-going research towards the design of a distributed Web search engine. The main goal is to be able to mimic a centralized search engine with similar quality of results and performance, but using less computational resources. The main problem is the network latency when different servers have to process the queries. Our preliminary findings mix several techniques, such as...

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

ژورنال

عنوان ژورنال: International Journal on Artificial Intelligence Tools

سال: 2004

ISSN: 0218-2130,1793-6349

DOI: 10.1142/s0218213004001405