scholarly journals AMBIT-SE: Towards a User-aware Semantic Enterprise Search Engine

2016 ◽  
Author(s):  
Giacomo Cabri ◽  
Stefano Gaddi ◽  
Riccardo Martoglia
Keyword(s):  
Search Engine ◽  
Enterprise Search

Search Engine, Inc.: Growth Versus Exit Strategy for a Mature Tech Start-Up

2018 ◽  
Vol 1 (2) ◽  
pp. 166-193
Author(s):  
Adora D. Holstein
Keyword(s):  
Search Engine ◽  
Private Equity ◽  
Synergistic Effects ◽  
Growth Strategy ◽  
Exit Strategy ◽  
Revenue Growth ◽  
Enterprise Search ◽  
Start Up ◽  
Search Market ◽  
To Come

This case is about an information technology start-up that has grown into a global tech company in 10 years with revenue growth of 35.4% from 2008 to 2011. However, during that same period, four major competitors were acquired by integrated search providers like Microsoft and Oracle. These firms integrate enterprise search into broader information services like data mining, analytic, and predictive services. This case enables students to role-play as a consulting team hired by Search Engine, Inc.’s Board to assess the company’s strengths and weaknesses relative to its changing competitive environment and to evaluate whether industry consolidation should be viewed as a threat to its long-term viability or as an opportunity for further growth. If the team recommends selling the company, it needs to identify a potential buyer who would benefit the most from synergistic effects of acquiring their technology, talents, and clients. If the team recommends a growth strategy, it has to specify whether the company should grow within the specialized search market or compete in the integrated search market and whether to finance such growth with private equity or with an IPO. Whether a growth or exit strategy is recommended, the team needs to come up with a fair market valuation.

scholarly journals A User-Aware and Semantic Approach for Enterprise Search

2020 ◽  
pp. 302-321
Author(s):  
Giacomo Cabri ◽  
Riccardo Martoglia
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
User Profile ◽  
Web Pages ◽  
Enterprise Information ◽  
Semantic Approach ◽  
Enterprise Search ◽  
Semantic Techniques ◽  
Search For Information ◽  
Search And Retrieval

This article describes how in addition to general purposes search engines, specialized search engines have appeared and have gained their part of the market. An enterprise search engine enables the search inside the enterprise information, mainly web pages but also other kinds of documents; the search is performed by people inside the enterprise or by customers. This article proposes an enterprise search engine called AMBIT1-SE that relies on two enhancements: first, it is user-aware in the sense that it takes into consideration the profile of the users that perform the query; second, it exploits semantic techniques to consider not only exact matches but also synonyms and related terms. It performs two main activities: (1) information processing to analyse the documents and build the user profile and (2) search and retrieval to search for information that matches user's query and profile. An experimental evaluation of the proposed approach is performed on different real websites, showing its benefits over other well-established approaches.

Search Engine Optimisation and Automatic Classification

2010 ◽  
Vol 10 (1) ◽  
pp. 24-28 ◽  
Author(s):  
Derek Sturdy
Keyword(s):  
Search Engine ◽  
Automatic Classification ◽  
Legal Information ◽  
Enterprise Search ◽  
Information Professional

AbstractDerek Sturdy explains the importance of search engine optimisation for the legal information professional involved in the organisation's website in the Google era and suggests that the most important pieces of information are the title and the abstract. He also discusses the rise in automatic classification in the enterprise search context.

scholarly journals A User-Aware and Semantic Approach for Enterprise Search

2018 ◽  
Vol 14 (4) ◽  
pp. 129-146
Author(s):  
Giacomo Cabri ◽  
Riccardo Martoglia
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
User Profile ◽  
Web Pages ◽  
Enterprise Information ◽  
Semantic Approach ◽  
Enterprise Search ◽  
Semantic Techniques ◽  
Search For Information ◽  
Search And Retrieval

This article describes how in addition to general purposes search engines, specialized search engines have appeared and have gained their part of the market. An enterprise search engine enables the search inside the enterprise information, mainly web pages but also other kinds of documents; the search is performed by people inside the enterprise or by customers. This article proposes an enterprise search engine called AMBIT1-SE that relies on two enhancements: first, it is user-aware in the sense that it takes into consideration the profile of the users that perform the query; second, it exploits semantic techniques to consider not only exact matches but also synonyms and related terms. It performs two main activities: (1) information processing to analyse the documents and build the user profile and (2) search and retrieval to search for information that matches user's query and profile. An experimental evaluation of the proposed approach is performed on different real websites, showing its benefits over other well-established approaches.

scholarly journals Performance Analysis of Elastic Search Technique in Identification and Removalof Duplicate Data

2019 ◽  
Vol 8 (10) ◽  
pp. 2401-2405
Keyword(s):  
Search Engine ◽  
Web Pages ◽  
Search Technique ◽  
Text Search ◽  
Database Server ◽  
Enterprise Search ◽  
Leader Selection ◽  
Search Capability ◽  
Hardware Efficiency ◽  
Similar Text

Elastic search is a way to organize the data and make it easily accessible. It is a server based search on Lucene. It is a highly scalable, distributed and full-text search engine. Elastic search is developed in Java. It is published as open source under the terms of the Apache License. Elastic search is the most popular enterprise search engine. Elastic search includes all advances in speed, security, scalability, and hardware efficiency. Elastic search is a tool for querying written words. It can perform some other smart tasks, but its principal is returning text similar to a given query and statistical analyses of a quantity of text. Elasticsearch is a standalone database server, which is written in Java and using HTTP/JSON protocol,it’s takes data and optimized the data according to language based searches and stores it in a sophisticated format. Elastic search is very convenient, supporting clustering and leader selection out of the box. Whether it’s searching a database of trade products by description, finding similar text in a body of crawled web pages. In this manuscript elastic search capability of copied data identification and its removing techniques performance are analyzed

Who owns a personal home page?

2003 ◽  
Vol 62 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Astrid Schütz ◽  
Franz Machilek
Keyword(s):  
Search Engine ◽  
Home Page ◽  
Sampling Strategies ◽  
Home Pages ◽  
Personal Home Pages ◽  
Age And Sex

Research on personal home pages is still rare. Many studies to date are exploratory, and the problem of drawing a sample that reflects the variety of existing home pages has not yet been solved. The present paper discusses sampling strategies and suggests a strategy based on the results retrieved by a search engine. This approach is used to draw a sample of 229 personal home pages that portray private identities. Findings on age and sex of the owners and elements characterizing the sites are reported.

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