WhitePaper search computing
francesco saverio nucci
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Abstract
Search has become an important and necessary component of many diverse ICT applications. A large number of business and application areas depend on the efficiency and availability of search techniques that are capable to process and retrieve heterogeneous and dispersed data. These include: a) the Web, b) mobile devices and applications, c) social networks and social media, and d) enterprise data access and organization. The objective of this document is to provide an overview of the business areas, the research challenges and the socio-economic aspects related to “Search Computing”.
Related papers
Search Computing Challenges and Directions
Lecture Notes in Computer Science, 2010
Search Computing (SeCo) 1 is a project funded by the European Research Council (ERC). It focuses on building the answers to complex search queries like "Where can I attend an interesting conference in my field close to a sunny beach?" by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant factors for service composition. SeCo started on November 2008 and will last 5 years. This paper will give a general introduction to the Search Computing approach and then focus on its query optimization and execution engine, the aspect of the project which is most tightly related to "objects and databases" technologies.
Building search computing applications
2010
Search Computing defines a new class of applications, which enable end users to perform exploratory search processes over multi-domain data sources available on the Web. These applications exploit suitable models, supported by a framework, that make it possible for expert users to configure the data sources to be searched and the interfaces for query submission and result visualization, by using for such source and interface configurations mash-up tools which do not require programming.
Modeling search computing applications
2010
Search Computing defines a new class of applications, which enable end users to perform exploratory search processes over multi-domain data sources available on the Web. These applications exploit suitable models, supported by a framework, that make it possible for expert users to configure the data sources to be searched and the interfaces for query submission and result visualization, by using for such source and interface configurations mash-up tools which do not require programming.
Prospects of mobile search
Search faces (at least) two major challenges. One is to improve the efficiency of retrieving relevant content for all digital formats (images, audio, video, 3D shapes, etc). The second is to make relevant information retrievable in a range of platforms, particularly in high diffusion ones for mobiles. The two challenges are interrelated but distinct. This report aims to assess the potential of future Mobile Search. Two broad groups of search-based applications can be identified. The first group adapts and emulates web search processes and services to the mobile environment. The second is made up of services which exploit the unique features of mobile devices and mobile environments. Examples of these context-aware services include location-based services or interfacing to the internet of things (RFID networks). The report starts by providing an introduction to mobile search. It highlights differences and commonalities with search technologies on other platforms (Chapter 1). Chapter 2 is devoted to the supply side of mobile search markets. It describes mobile markets, presents key figures and gives an outline of main business models and players. Chapter 3 is dedicated to the demand side of the market. It studies users’ acceptance and demand using the results of a case study in Sweden. Chapter 4 presents emerging trends in technology and markets that could shape mobile search. This vision was partly based on an analysis of forward-looking scenarios for mobile, developed by the authors and evaluated by experts in the field (Chapter 5). Another input was a questionnaire to which 61 experts responded. Drivers, barriers and enablers for mobile search were summarised in a SWOT analysis. The report concludes with some policy recommendations in view of the likely socio-economic implications of mobile search in Europe.
Ubiquitous Search Engine
International Journal of Computer Applications, 2015
Ubiquitous Search engine is a non-conventional search engine. It is built with an intended function of finding the most influential node in a network or given data set. The objective is to find centers of influence in social networks. It can be used as a tool for data mining and analyzing it further for optimum use of the user's benefit. The system is implemented using Hadoop and Big Data. It aims at increasing the performance of the system and rendering results in fastest possible way by implementing suitable algorithm for the same. Hadoop is used to support parallel computing whi0ch provides a base for simultaneous search on multiple machines. Big data is a large amount of data which can be analyzed and converted into useful information. The data set taken for this project is of 'Twitter', a micro blogging website as it uses a follower relationship rather than friend concept.
Towards an Efficient and Effective Search Engine
SIGIR2012 Workshop on Open Source Information Retrieval
Building an efficient and effective search engine requires both science and engineering. In this paper, we discuss the ATIRE search engine developed in our research lab, and both the engineering decisions and research questions that have motivated building ATIRE.
Search engines. Uses and challenges
Questions De Communication, 2008
This English translation has not been published in printed form/Cette traduction anglaise n'a pas été publiée sous forme imprimée. 1 Web search engines are barely ten years old, but they have become familiar and sometimes indispensable tools. Their use has become commonplace in a whole host of everyday life situations, within both professional and private settings (Savolainen, 1995). Planning trips, keeping up with the news, looking for online health information, during key milestones in life, or simply for leisure purposes, individuals are increasingly turning to online resources. Commercial search engines capitalize on this audience: several studies have shown that information retrieval (IR) is one of the most popular uses of the Internet, almost on a par with communication tools such as messaging. According to Comscore Inc. 1 , during the month of June 2008 alone, Americans made 11.5 billion requests to the five major sites that hold the lion's share of online information retrieval: Google (61.5 %), Yahoo (20.9 %), Microsoft (9.2 %), Ask (4.3 %) and AOL (4.1 %). In France, in May 2008 2 , 2.9 billion requests were submitted by 26 million Internet users, which translates into an average figure of 3.6 searches per day, with Google holding 82% of the market share. Médiamétrie/Netratings provides similar figures for May 2008: the study 3 indicates that in France, Google received 26.6 million unique visitors. These results reflect the fact that search engines have become a part of everyday life for Internet users, a trend which highlights the underlying advertising stakes involved. They also show that despite the considerably 4 high number of online search engines, only very few of them have become mainstream.
WEB SEARCH ENGINE
Abstract: In this paper, we present Web search engine, a prototype of a Web search engine that makes heavy use of the structure present in hypertext. Google is designed to crawl, index the Web efficiently, and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/ to engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system that can exploit the additional information present in hypertext. In addition, we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want. Keywords: World Wide Web, Search Engines, Information Retrieval, PageRank, Google. Title: WEB SEARCH ENGINE Author: Raghav Arora, Rana Rahul Sathyaprakash, Saurabh Rauthan, Shrey Jakhetia International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online), ISSN 2348-1196 (print) Research Publish Journals
A taxonomy of enterprise search
2011
Classic IR (information retrieval) is predicated on the notion of users searching for information in order to satisfy a particular "information need". However, it is now accepted that much of what we recognize as search behaviour is often not informational per se. For example, has shown that the need underlying a given web search could in fact be navigational (e.g. to find a particular site or known item) or transactional (e.g. to find a sites through which the user can transact, e.g. through online shopping, social media, etc.). Similarly, have identified consumption of online resources as a further category of search behaviour and query intent. In this paper, we extend this work to the enterprise context, examining the needs and behaviours of individuals across a range of search and discovery scenarios within various types of enterprise. We present an initial taxonomy of "discovery modes", and discuss some initial implications for the design of more effective search and discovery platforms and tools.
Related papers
Search Computing: Managing Complex Search Queries
Internet …, 2010
Search computing focuses on building answers to complex search queries (for example, "Where can I attend an interesting conference in my field near a sunny beach?") by interacting with a constellation of cooperating search services, and using result ranking and joining as the dominant factors for service composition. The service computing paradigm has so far been neutral to the specific features of search applications and services. To address this weakness, search computing advocates a new approach in which search, join, and ranking are the central aspects for service composition.
Performance and Cost Tradeoffs in Web Search
2004
Web search engines crawl the web to fetch the data that they index. In this paper we re-examine that need, and evaluate the network costs associated with data acquisition, and alternative ways in which a search service might be supported. As a concrete example, we make use of the Research Finder search service provided at http://rf.panopticsearch.com, and information derived from its crawl and query logs. Based upon an analysis of the Research Finder system we introduce a hybrid arrangement, in which queries are evaluated partially by reference to a centrally maintained index representing a subset of the collection, and partially by referring them on to the local search services maintained by the balance of the collection. We also examine various ways in which crawling costs can be reduced.
Search Engine : a Synthesis, Innovation & Regulation Chair, Workshop, 16 Mai 2008
Recent information of a very different nature has shown the challenge posed by search engines in the internet economy.
A Study on State-of-the-art Cloud-based Enterprise Search Solutions
Search has evolved to be an essential feature of any enterprise application. Having an effective enterprise search solution can fundamentally improve customer satisfaction in the case of external applications like ecommerce sites while also enhancing employee productivity in the case of internal company portals. Thus, it becomes critical that enterprises build state-of-the-art search solutions. This paper details the fundamentals of enterprise search and highlights the challenges of implementing them from scratch in an on-premises environment. The benefits of using a managed search service (or a search-as-a-service offering) for developing sophisticated enterprise search solutions are enumerated. The fact that search-as-a-service is primarily cloud-powered is underscored and the pros and cons that stem from this fact are studied. Finally, a few industry-leading cloud-based search offerings that facilitate the process of building modern cloud-first enterprise search solutions are listed.
IRJET- A Study on State-of-the-art Cloud-based Enterprise Search Solutions
IRJET, 2021
Search has evolved to be an essential feature of any enterprise application. Having an effective enterprise search solution can fundamentally improve customer satisfaction in the case of external applications like ecommerce sites while also enhancing employee productivity in the case of internal company portals. Thus, it becomes critical that enterprises build state-of-the-art search solutions. This paper details the fundamentals of enterprise search and highlights the challenges of implementing them from scratch in an on-premises environment. The benefits of using a managed search service (or a search-as-a-service offering) for developing sophisticated enterprise search solutions are enumerated. The fact that search-as-a-service is primarily cloud-powered is underscored and the pros and cons that stem from this fact are studied. Finally, a few industry-leading cloud-based search offerings that facilitate the process of building modern cloud-first enterprise search solutions are listed.
Database-Inspired Search
2005
W3QL: A Query Language for the WWW", published in 1995, presented a language with several distinctive features. Employing existing indexes as access paths, it allowed the selection of documents using conditions on semi-structured documents and maintaining dynamic views of navigational queries. W3QL was capable of automatically filling out forms and navigating through them. Finally, in the SQL tradition, it was a declarative query language, that could be the subject of optimization.
Implementation of a Search Engine
2014
Today's world the information is most valuable quantity. With the advent of the web, the information storage and retrieval have taken a huge step forward. Search engines plays important role in this area. In this report (implementation of a search engine), we talk about the functionality of a mini-offline search engine. We study the various components of search engine is which involves “crawlers” (a spider program to search through documents), “porter and stemmer” (program that remove stop words and brings the query in its basic form) and “indexer” (one which indexes the documents to cut short the duration of searching). Next part is the implementation of these various components .The search engine while searching through the web gives us so many relevant and irrelevant. Which relevant information should come as a best desired result, depends on the kind of algorithms that all of the search engine have got the propriety right over. I have also tried to develop a similar algorith...
Enterprise search: A state of the art
Business Information Review
Enterprise search is changing. The explosion of information within organizations, technological advances and availability of free OpenSource machine learning libraries offer many possibilities. Eighteen informants from practice, academia, search technology vendors and large organizations (Oil and Gas, Governments, Pharmaceuticals, Aerospace and Retail) were interviewed to assess challenges and future directions. The findings confirmed the existence of the ‘Google Habitus’, technology propaganda and a need to transcend disciplines for a Systems thinking approach toward enterprise search. This encompasses information management, user search literacy, governance, learning feedback loops as well as technology. A novel four-level model for enterprise search use cases is presented, covering search as a utility, search as an answer machine, search task apps and a discovery engine. This could be used to reframe enterprise search perceptions, expanding possibilities and improving business ou...
E–Government meets Search Computing
International Journal for Infonomics, 2011
People shop online, compare online, book hotels and flights online. This happens because the data needed to complete these tasks are easily accessible and a lot of Web sites allow users to query the Web to obtain enough information to be confident. The aim of this work is to propose a framework tailored to extend the internet revolution to public administration exploiting the Search Computing paradigm. It is a new way for composing data. While state-of-art search systems answer generic or domain-specific queries, Search Computing enables answering questions via a constellation of cooperating data sources, called search services, which are correlated by means of join operations.
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