Results 21 to 30 of about 602,516 (375)
Semantic Web Search Based on Ontological Conjunctive Queries [PDF]
Journal of Web Semantics, 2010 Many experts predict that the next huge step forward in Web information technology will be achieved by adding semantics to Web data, and will possibly consist of (some form of) the Semantic Web. In this paper, we present a novel approach to Semantic Web search, called Serene, which allows for a semantic processing of Web search queries, and for ...
Fazzinga B. +3 more
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Web Search Queries Can Predict Stock Market Volumes [PDF]
PLoS ONE, 2012 We live in a computerized and networked society where many of our actions leave a digital trace and affect other people’s actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistical physics and sociometry provide insights on a wide range of disciplines ranging from social science to
Bordino I. +5 more
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CoSQA: 20,000+ Web Queries for Code Search and Question Answering [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Finding codes given natural language query is beneficial to the productivity of software developers. Future progress towards better semantic matching between query and code requires richer supervised training resources. To remedy this, we introduce CoSQA
Junjie Huang +7 more
semanticscholar +1 more source
Web Pages Ranking Algorithms: A Survey
Qubahan Academic Journal, 2021 Due to the daily expansion of the web, the amount of information has increased significantly. Thus, the need for retrieving relevant information has also increased. In order to explore the internet, users depend on various search engines. Search engines
Ayad Abdulrahman
doaj +1 more source
A Comparative Analysis of Web Search Query: Informational Vs. Navigational Queries
International Journal on Advanced Science, Engineering and Information Technology, 2019 The search engines are mainly used to retrieve relevant information. Information retrieval researchers show that queries are the basis for providing better search engine performance.
Nuhu Yusuf +2 more
semanticscholar +1 more source
Semantic tagging of web search queries [PDF]
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - ACL-IJCNLP '09, 2009 We present a novel approach to parse web search queries for the purpose of automatic tagging of the queries. We will define a set of probabilistic context-free rules, which generates bags (i.e. multi-sets) of words. Using this new type of rule in combination with the traditional probabilistic phrase structure rules, we define a hybrid grammar, which ...
Mehdi Manshadi, Xiao Li
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Query Recommendation Using Hybrid Query Relevance
Future Internet, 2018 With the explosion of web information, search engines have become main tools in information retrieval. However, most queries submitted in web search are ambiguous and multifaceted.
Jialu Xu, Feiyue Ye
doaj +1 more source
Query expansion based on relevance feedback and latent semantic analysis [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 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 ...
Marziea Rahimi, Morteza Zahedi
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An IR-based evaluation framework for web search query segmentation [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011 This paper presents the first evaluation framework for Web search query segmentation based directly on IR performance. In the past, segmentation strategies were mainly validated against manual annotations.
Rishiraj Saha Roy +3 more
semanticscholar +1 more source
Organizing query completions for web search [PDF]
Proceedings of the 19th ACM international conference on Information and knowledge management, 2010 All state-of-the-art web search engines implement an auto-completion mechanism - an assistive technology enabling users to effectively formulate their search queries by predicting the next characters or words that they are likely to type. Query completions (or suggestions) are typically mined from past user interactions with the search engine, e.g ...
Alpa Jain, Gilad Mishne
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