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The majority of Semantic Web search engines retrieve information by focusing on the use of concepts and relations restricted to the query provided by the user. By trying to guess the implicit meaning between these concepts and relations,…

Information Retrieval · Computer Science 2012-11-28 Manuel Rojas

Archived collections of documents (like newspaper archives) serve as important information sources for historians, journalists, sociologists and other interested parties. Semantic Layers over such digital archives allow describing and…

Information Retrieval · Computer Science 2022-10-19 Pavlos Fafalios , Vaibhav Kasturia , Wolfgang Nejdl

The WorldWideWeb (WWW) is a huge conservatory of web pages. Search Engines are key applications that fetch web pages for the user query. In the current generation web architecture, search engines treat keywords provided by the user as…

Information Retrieval · Computer Science 2014-03-03 Leena Giri G , Srikanth P L , S H Manjula , K R Venugopal , L M Patnaik

Web services allow communication between heterogeneous systems in a distributed environment. Their enormous success and their increased use led to the fact that thousands of Web services are present on the Internet. This significant number…

Artificial Intelligence · Computer Science 2015-01-27 T. Rachad , J. Boutahar , S. El ghazi

There is an explosive growth of information in the World Wide Web thus posing a challenge to Web users to extract essential knowledge from the Web. Search engines help us to narrow down the search in the form of Search Engine Result Pages…

Information Retrieval · Computer Science 2013-03-26 Srikantaiah K C , Suraj M , Venugopal K R , L M Patnaik

This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools. Indeed, the huge number of information on the web as well as the growth of new inexperienced users creates new…

Information Retrieval · Computer Science 2012-12-12 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Liên Doan

Semantic web is a web of future. The Resource Description Framework (RDF) is a language to represent resources in the World Wide Web. When these resources are queried the problem of duplicate query results occurs. The present techniques…

Databases · Computer Science 2013-05-14 1Oumair Naseer , 2Ayesha Naseer , 3Atif Ali Khan , 4Humza Naseer

Tables on the Web contain a vast amount of knowledge in a structured form. To tap into this valuable resource, we address the problem of table retrieval: answering an information need with a ranked list of tables. We investigate this…

Information Retrieval · Computer Science 2021-05-14 Shuo Zhang , Krisztian Balog

Archived collections of documents (like newspaper and web archives) serve as important information sources in a variety of disciplines, including Digital Humanities, Historical Science, and Journalism. However, the absence of efficient and…

Information Retrieval · Computer Science 2021-07-30 Pavlos Fafalios , Vaibhav Kasturia , Wolfgang Nejdl

We introduce and address the problem of ad hoc table retrieval: answering a keyword query with a ranked list of tables. This task is not only interesting on its own account, but is also being used as a core component in many other…

Information Retrieval · Computer Science 2018-03-09 Shuo Zhang , Krisztian Balog

In this paper we have modified the existing page ranking mechanism as an advanced Page Rank Algorithm based on Semantics Inlinks Outlinks and Google Analytics. We have used Semantics page ranking to rank pages according to the word searched…

Social and Information Networks · Computer Science 2017-09-12 Aritra Banerjee , Shrey Choudhary

The Semantic Web began to emerge as its standards and technologies developed rapidly in the recent years. The continuing development of Semantic Web technologies has facilitated publishing explicit semantics with data on the Web in RDF data…

Artificial Intelligence · Computer Science 2017-07-13 Serkan Ayvaz , Mehmet Aydar

Applications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based neural…

Computation and Language · Computer Science 2019-09-20 Ahmed Sabir , Francesc Moreno-Noguer , Lluís Padró

In this paper, we propose an alternative to deep neural networks for semantic information retrieval for the case of long documents. This new approach exploiting clustering techniques to take into account the meaning of words in Information…

Information Retrieval · Computer Science 2025-07-29 Paul Mbathe Mekontchou , Armel Fotsoh , Bernabe Batchakui , Eddy Ella

In this work we propose a new approach for semantic web matching to improve the performance of Web Service replacement. Because in automatic systems we should ensure the self-healing, self-configuration, self-optimization and…

Information Retrieval · Computer Science 2021-07-14 Kamran Zamanifar , Golsa Heidari , Naser Nematbakhsh , Farhad Mardookhi

The most exciting challenge for CRIS is to create a service for research information which should be wide-spread, distributed and actual like Google, but at the same time structured, trusted, with a complex search and navigation similar to…

Networking and Internet Architecture · Computer Science 2007-05-23 A. Lopatenko

With the advent of the Internet, a new era of digital information exchange has begun. Currently, the Internet encompasses more than five billion online sites and this number is exponentially increasing every day. Fundamentally, Information…

Information Retrieval · Computer Science 2012-04-03 Youssef Bassil , Paul Semaan

As the amount of data on the World Wide Web continues to grow exponentially, access to semantically structured information remains limited. The Semantic Web has emerged as a solution to enhance the machine-readability of data, making it…

Digital Libraries · Computer Science 2023-06-21 Muhammad Zohaib

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialize tools known…

Artificial Intelligence · Computer Science 2011-02-07 G. Madhu , Dr. A. Govardhan , Dr. T. V. Rajinikanth

Inverted file structure is a common technique for accelerating dense retrieval. It clusters documents based on their embeddings; during searching, it probes nearby clusters w.r.t. an input query and only evaluates documents within them by…

Information Retrieval · Computer Science 2023-10-18 Peitian Zhang , Zheng Liu , Shitao Xiao , Zhicheng Dou , Jing Yao
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