Exploring the Advances in Semantic Search Engines

نویسندگان

  • Walter Renteria-Agualimpia
  • Francisco J. López-Pellicer
  • Pedro R. Muro-Medrano
  • Javier Nogueras-Iso
  • F. Javier Zarazaga-Soria
چکیده

With the vertiginous volume information growing, the amount of answers provided by traditional search engines and satisfying syntactically the user queries has enlarged directly. In order to reduce this problem the race to develop Semantic Search Engines (SSE) is increasingly popular. Currently, there are multiple proposals for Semantic Search Engines, and they are using a wide range of methods for matching the semantics behind user queries and the indexed collection of resources. In this work we survey the semantic search engines domain, and present a miscellaneous of perspectives about the different classification of approaches. We have created a comparative scheme and identified the prevalent research directions in SSE.

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

Query expansion based on relevance feedback and latent semantic analysis

Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...

متن کامل

بررسی واکنش موتورهای کاوش وب به پیشینه‌های فرادا‌ده‌ای مبتنی برروش ترکیبی داده‌های خرد و روش داده‌های پیوندی

The purpose of this research was to find out the reaction of Web Search Engines to Metadata records created based on the combined method of Rich Snippets and Linked Data. 200 metadata records in two groups (100 records as the control group with the normal structure and, 100 records created based on microdata and implemented in RDF/XML as experimental group) extracted from the information gatewa...

متن کامل

Exploring the influence of semantic data on the ranking mechanisms of search engines

The web has been evolving towards its Semantic future and, in turn, search engines (SEs) have been evolving to incorporate these changes. Current work probes on search engine ranking factors in a Web 2.0 and Web 3.0 context. To this end, we have created a headless crawler, LSHrank, which employs known search engine APIs, evaluates the results and explores the factors that affect the search engi...

متن کامل

A New Hybrid Method for Web Pages Ranking in Search Engines

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...

متن کامل

Semantics and pragmatics in actual software applications and in web search engines: exploring innovations

While new ways to use the Semantic Web are developed every week, which allow the user to find information on web more accurately for example in search engines some sophisticated pragmatic tools are becoming more important for example in web interfaces known as Social Intelligence, or in the most famous Siri by Apple. The work aims to analyze whether and where we can identify the boundary betwee...

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 2010