Journey of Web Search Engines: Milestones, Challenges &amp; Innovations

Kathuria, Mamta; Nagpal, C. K.; Duhan, Neelam

doi:10.5815/ijitcs.2016.12.06

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…Search engines eases and increases the possibility of browsing hypertext documents on the web. As such, and in recent times, traditional methods of storing information such as libraries have become irrelevant [11]. Additionally, it is common knowledge that previously, users need to know the exact location of the data they have needed of before proceeding to search.…”

Section: Information Retrieval and Searching The Webmentioning

confidence: 99%

“…The sites in a Web directory are listed in some chronological order (mostly alphabetical), which eases the search and retrieval process for users. Though a number of Web directories offer some sort of search functionality, sort, search directories are profoundly not the same as search engines based on two factors [11]. First, humans do edit most directories.…”

Section: Directoriesmentioning

confidence: 99%

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Evaluating Search Results in Exploratory Search

Mahdi

Ahmad²,

Ismail³

2018

IJET

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The volume of information available on the World Wide Web is quite significant. This plethora of information has, to a large extent constantly challenged researchers in seeking for ways of making the information easily accessible to end users in as convenient ways as possible. Characteristically, ensuring the accessibility of this large amount of information involves three all-encompassing processes of retrieval, organization and presentation. The World Wide Web offers a platform for sharing information from large database repositories globally. However, information needs to be searched with specialized tools commonly referred to as search engines. While a number of search engines does presently exist, most of these search engines are noted for their inability to retrieve information usable to the end user. It is therefore critical for the results generated from search engines to be intelligently organized for the optimal usefulness of the information to the searcher. Exploratory web technologies is capable of filing this gap. Therefore, this paper reviews exploratory search as a mechanism for conducting result-oriented search. It also reviews the ways of evaluating the search results obtained from an exploratory search.

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Section: Information Retrieval and Searching The Webmentioning

confidence: 99%

Section: Directoriesmentioning

confidence: 99%

Evaluating Search Results in Exploratory Search

Mahdi

Ahmad²,

Ismail³

2018

IJET

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“…In the last few years, there has been an explosive growth of interest in KGs in both the research community and the industry due to their essential role in AI applications such as natural language processing (including dialogue systems/chatbots, question answering, etc.) [Wu et al, 2018;Xu et al, 2019b], search engines [Kathuria et al, 2016], recommendation systems [Zhang et al, 2016], and information extraction [Du et al, 2015].…”

Section: Introductionmentioning

confidence: 99%

A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning

Zhang¹,

Trisedy²,

Li³

et al. 2021

Preprint

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In the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due to their essential role in AI applications. Entity alignment is an important task for enriching knowledge bases. This paper provides a comprehensive tutorial-type survey on representative entity alignment techniques that use the new approach of representation learning. We present a framework for capturing the key characteristics of these techniques, propose two datasets to address the limitation of existing benchmark datasets, and conduct extensive experiments using the proposed datasets. The framework gives a clear picture of how the techniques work. The experiments yield important results about the empirical performance of the techniques and how various factors affect the performance. One important observation not stressed by previous work is that techniques making good use of attribute triples and relation predicates as features stand out as winners.

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Deduplication Method for Ukrainian Last Names, Medicinal Names, and Toponyms Based on Metaphone Phonetic Algorithm

Buriachok

Sokolov

2020

Advances in Computer Science for Engineering and Education III

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This paper attempts to optimize the phonetic search processes for fuzzy matching tasks, such as deduplication of data in various databases and registers to reduce the number of errors in personal data entry (for instance, last names). The analysis of the most common last names in the territory of Ukraine shows that the majority of these last names are of Ukrainian and Russian origin (which are also reduced to phonetic rules of the Ukrainian language). The rules for pronouncing and writing last names in Ukrainian are fundamentally different from the basic algorithms for English and quite different for the Russian language, so the phonetic algorithm should take into account the peculiarities of the formation of Ukrainian last names. The use of the phonetic algorithm gives significant advantages in search and deduplication in comparison with already known algorithms: calculation of Levenshtein, Damerau-Levenshtein, Hamming, Jaro or Jaro-Winkler distance, Q-gram index, etc. The task of searching by last name was previously formalized in English, Russian and some other languages, but for the Ukrainian language such an attempt was made for the first time. The paper presents the results of the experiment on the formation of phonetic indices, as well as the results of increasing productivity when using the generated indices. A method of tailoring the search to other domains and several related languages is presented separately, for example, the search for medicines. Also, search optimization by place names in Ukrainian and Russian was separately worked out. Since in Ukraine there is an abrupt change in the names of cities and streets, the latest relevant data was collected to obtain an up-to-date list of names. Among the existing phonetic search algorithms for the Cyrillic language group, the Metaphone has proven itself in the best way.

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Journey of Web Search Engines: Milestones, Challenges & Innovations

Cited by 7 publications

References 4 publications

Evaluating Search Results in Exploratory Search

Evaluating Search Results in Exploratory Search

A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning

Deduplication Method for Ukrainian Last Names, Medicinal Names, and Toponyms Based on Metaphone Phonetic Algorithm

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