Enterprise SEO Platforms: a Marketer’S Guide
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Metadata for Semantic and Social Applications
etadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008M will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Metadata for Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their Semantic and information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. Social Applications DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice. Edited by Jane Greenberg and Wolfgang Klas DC-2008 -
Oracle Data Sheet- Secure Enterprise Search
ORACLE SECURE ENTERPRISE SEARCH 11g DATA SHEET ORACLE SECURE ENTERPRISE SEARCH VERSION 11G R2 KEY FEATURES Oracle Secure Enterprise Search 11g (SES), a standalone product RELEASE 11.2.2.2 HIGHLIGHTS from Oracle, enables a high quality, secure search across all Facet Navigation enterprise information assets. Key SES features include: Push-based Content Indexing Multi-tier Install Search Result Tagging The ability to search and locate public, private and shared Unified Microsoft Sharepoint content across intranet web content, databases, files on local Connector, certified for MOSS 2010 version disk or file-servers, IMAP email, document repositories, New search result „hard sort‟ applications, and portals option Auto Suggestions “As You Type” Excellent search quality, with the most relevant items for a query Sitemap.org Support spanning diverse sources being shown first FACET NAVIGATION Full GUI support for facet Sub-second query performance creation, manipulation, and browsing. No programming required. Facet API support is Highly secure crawling, indexing, and searching also provided Facet navigation is secure. Integration with Desktop Search tools Facet values and counts are computed using only those documents that the search Ease of administration and maintenance – a „no-DBA‟ approach user is authorized to see Hierarchical- and range facets to Search. Date, number and string types Update facets without re- Information Uplift for the Intranet crawling As a result of search engines on the Internet, the power of effective search PUSH-BASED CONTENT technologies has become clear to everyone. Using the World Wide Web, consumers INDEXING have become their own information retrieval experts. But search within enterprises Allows customers to push differs radically from public Internet search. -
An Explorative Customer Experience Study on Voice Assistant Services of a Swiss Tourism Destination
Athens Journal of Tourism - Volume 7, Issue 4, December 2020 – Pages 191-208 Resistance to Customer-driven Business Model Innovations: An Explorative Customer Experience Study on Voice Assistant Services of a Swiss Tourism Destination By Anna Victoria Rozumowski*, Wolfgang Kotowski± & Michael Klaas‡ For tourism, voice search is a promising tool with a considerable impact on tourist experience. For example, voice search might not only simplify the booking process of flights and hotels but also change local search for tourist information. Against this backdrop, our pilot study analyzes the current state of voice search in a Swiss tourism destination so that providers can benefit from those new opportunities. We conducted interviews with nine experts in Swiss tourism marketing. They agree that voice search offers a significant opportunity as a new and diverse channel in tourism. Moreover, this technology provides new marketing measures and a more efficient use of resources. However, possible threats to this innovation are data protection regulation and providers’ lack of skills and financial resources. Furthermore, the diversity of Swiss dialects pushes voice search to its limits. Finally, our study confirms that tourism destinations should cooperate to implement voice search within their touristic regions. In conclusion, following our initial findings from the sample destination, voice search remains of minor importance for tourist marketing in Switzerland as evident in the given low use of resources. Following this initial investigation of voice search in a Swiss tourism destination, we recommended conducting further qualitative interviews on tourists’ voice search experience in different tourist destinations. Keywords: Business model innovation, resistance to innovation, customer experience, tourism marketing, voice search, Swiss destination marketing, destination management Introduction Since innovations like big data and machine learning have already caused lasting changes in the interaction between companies and consumers (Shankar et al. -
Magnify Search Security and Administration Release 8.2 Version 04
Magnify Search Security and Administration Release 8.2 Version 04 April 08, 2019 Active Technologies, EDA, EDA/SQL, FIDEL, FOCUS, Information Builders, the Information Builders logo, iWay, iWay Software, Parlay, PC/FOCUS, RStat, Table Talk, Web390, WebFOCUS, WebFOCUS Active Technologies, and WebFOCUS Magnify are registered trademarks, and DataMigrator and Hyperstage are trademarks of Information Builders, Inc. Adobe, the Adobe logo, Acrobat, Adobe Reader, Flash, Adobe Flash Builder, Flex, and PostScript are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States and/or other countries. Due to the nature of this material, this document refers to numerous hardware and software products by their trademarks. In most, if not all cases, these designations are claimed as trademarks or registered trademarks by their respective companies. It is not this publisher's intent to use any of these names generically. The reader is therefore cautioned to investigate all claimed trademark rights before using any of these names other than to refer to the product described. Copyright © 2019, by Information Builders, Inc. and iWay Software. All rights reserved. Patent Pending. This manual, or parts thereof, may not be reproduced in any form without the written permission of Information Builders, Inc. Contents Preface ......................................................................... 7 Conventions ......................................................................... 7 Related Publications ................................................................. -
The Nao Robot As a Personal Assistant
1 Ziye Zhou THE NAO ROBOT AS A PERSONAL ASSISTANT Information Technology 2016 2 FOREWORD I would like to take this opportunity to express my gratitude to everyone who have helped me. Dr. Yang Liu is my supervisor in this thesis, without his help I could not come so far and get to know about Artificial Intelligence, I would not understand the gaps between me and other intelligent students in the world. Thanks for giving me a chance to go aboard and get to know more. Also I would like to say thank you to all the teachers and stuffs in VAMK. Thanks for your guidance. Thanks for your patient and unselfish dedication. Finally, thanks to my parents and all my friends. Love you all the time. 3 VAASAN AMMATTIKORKEAKOULU UNIVERSITY OF APPLIED SCIENCES Degree Program in Information Technology ABSTRACT Author Ziye Zhou Title The NAO Robot as a Personal Assistant Year 2016 Language English Pages 55 Name of Supervisor Yang Liu Voice recognition and Artificial Intelligence are popular research topics these days, with robots doing physical and complicated labour work instead of humans is the trend in the world in future. This thesis will combine voice recognition and web crawler, let NAO robot help humans check information (train tickets and weather) from websites by voice interaction with human beings as a voice assistance. The main research works are as follows: 1. Voice recognition, resolved by using Google speech recognition API. 2. Web crawler, resolved by using Selenium to simulate the operation of web pages. 3. The connection and use of NAO robot. -
Enterprise Search Technology Using Solr and Cloud Padmavathy Ravikumar Governors State University
Governors State University OPUS Open Portal to University Scholarship All Capstone Projects Student Capstone Projects Spring 2015 Enterprise Search Technology Using Solr and Cloud Padmavathy Ravikumar Governors State University Follow this and additional works at: http://opus.govst.edu/capstones Part of the Databases and Information Systems Commons Recommended Citation Ravikumar, Padmavathy, "Enterprise Search Technology Using Solr and Cloud" (2015). All Capstone Projects. 91. http://opus.govst.edu/capstones/91 For more information about the academic degree, extended learning, and certificate programs of Governors State University, go to http://www.govst.edu/Academics/Degree_Programs_and_Certifications/ Visit the Governors State Computer Science Department This Project Summary is brought to you for free and open access by the Student Capstone Projects at OPUS Open Portal to University Scholarship. It has been accepted for inclusion in All Capstone Projects by an authorized administrator of OPUS Open Portal to University Scholarship. For more information, please contact [email protected]. ENTERPRISE SEARCH TECHNOLOGY USING SOLR AND CLOUD By Padmavathy Ravikumar Masters Project Submitted in partial fulfillment of the requirements For the Degree of Master of Science, With a Major in Computer Science Governors State University University Park, IL 60484 Fall 2014 ENTERPRISE SEARCH TECHNOLOGY USING SOLR AND CLOUD 2 Abstract Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database in9tegration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. -
International Journal of Information Movment
International Journal of Information Movement Vol.2 Issue III (July 2017) Website: www.ijim.in ISSN: 2456-0553 (online) Pages 85-92 INFORMATION RETRIEVAL AND WEB SEARCH Sapna Department of Library and Information Science Central University of Haryana Email: sapnasna121@gmail Abstract The paper gives an overview of search techniques used for information retrieval on the web. The features of selected search engines and the search techniques available with emphasis on advanced search techniques are discussed. A historic context is provided to illustrate the evolution of search engines in the semantic web era. The methodology used for the study is review of literature related to various aspects of search engines and search techniques available. In this digital era library and information science professionals should be aware of various search tools and techniques available so that they will be able to provide relevant information to users in a timely and effective manner and satisfy the fourth law of library science i.e. “Save the time of the user.” Keywords: search engine, web search engine, semantic search, resource discovery, - advanced search techniques, information retrieval. 1.0 Introduction Retrieval systems in libraries have been historically very efficient and effective as they are strongly supported by cataloging for description and classification systems for organization of information. The same has continued even in the digital era where online catalogs are maintained by library standards such as catalog codes, classification schemes, standard subject headings lists, subject thesauri, etc. However, the information resources in a given library are limited. With the rapid advancement of technology, a large amount of information is being made available on the web in various forms such as text, multimedia, and another format continuously, however, retrieving relevant results from the web search engine is quite difficult. -
Google Search by Voice: a Case Study
Google Search by Voice: A case study Johan Schalkwyk, Doug Beeferman, Fran¸coiseBeaufays, Bill Byrne, Ciprian Chelba, Mike Cohen, Maryam Garret, Brian Strope Google, Inc. 1600 Amphiteatre Pkwy Mountain View, CA 94043, USA 1 Introduction Using our voice to access information has been part of science fiction ever since the days of Captain Kirk talking to the Star Trek computer. Today, with powerful smartphones and cloud based computing, science fiction is becoming reality. In this chapter we give an overview of Google Search by Voice and our efforts to make speech input on mobile devices truly ubiqui- tous. The explosion in recent years of mobile devices, especially web-enabled smartphones, has resulted in new user expectations and needs. Some of these new expectations are about the nature of the services - e.g., new types of up-to-the-minute information ("where's the closest parking spot?") or communications (e.g., "update my facebook status to 'seeking chocolate'"). There is also the growing expectation of ubiquitous availability. Users in- creasingly expect to have constant access to the information and services of the web. Given the nature of delivery devices (e.g., fit in your pocket or in your ear) and the increased range of usage scenarios (while driving, biking, walking down the street), speech technology has taken on new importance in accommodating user needs for ubiquitous mobile access - any time, any place, any usage scenario, as part of any type of activity. A goal at Google is to make spoken access ubiquitously available. We would like to let the user choose - they should be able to take it for granted that spoken interaction is always an option. -
A Comparison of Information Seeking Using Search Engines and Social Networks
A Comparison of Information Seeking Using Search Engines and Social Networks Meredith Ringel Morris1, Jaime Teevan1, Katrina Panovich2 1Microsoft Research, Redmond, WA, USA, 2Massachusetts Institute of Technology, Cambridge, MA, USA {merrie, teevan}@microsoft.com, [email protected] Abstract et al. 2009 or Groupization by Morris et al. 2008). Social The Web has become an important information repository; search engines can also be devised using the output of so- often it is the first source a person turns to with an informa- cial tagging systems such as delicious (delicious.com). tion need. One common way to search the Web is with a Social search also encompasses active requests for help search engine. However, it is not always easy for people to from the searcher to other people. Evans and Chi (2008) find what they are looking for with keyword search, and at describe the stages of the search process when people tend times the desired information may not be readily available to interact with others. Morris et al. (2010) surveyed Face- online. An alternative, facilitated by the rise of social media, is to pose a question to one‟s online social network. In this book and Twitter users about situations in which they used paper, we explore the pros and cons of using a social net- a status message to ask questions of their social networks. working tool to fill an information need, as compared with a A well-studied type of social searching behavior is the search engine. We describe a study in which 12 participants posting of a question to a Q&A site (e.g., Harper et al. -
A Federated Search and Social Recommendation Widget
A Federated Search and Social Recommendation Widget Sten Govaerts1 Sandy El Helou2 Erik Duval3 Denis Gillet4 Dept. Computer Science1,3 REACT group2,4 Katholieke Universiteit Leuven Ecole Polytechnique Fed´ erale´ de Lausanne Celestijnenlaan 200A, Heverlee, Belgium 1015 Lausanne, Switzerland fsten.govaerts1, [email protected] fsandy.elhelou2, denis.gillet4g@epfl.ch ABSTRACT are very useful, but their generality can sometimes be an ob- This paper presents a federated search and social recommen- stacle and this can make it difficult to know where to search dation widget. It describes the widget’s interface and the un- for the needed information [2]. Federated searching over derlying social recommendation engine. A preliminary eval- collections of topic-specific repositories can assist with this uation of the widget’s usability and usefulness involving 15 and save time. When the user sends a search request, the subjects is also discussed. The evaluation helped identify us- federated search widget collects relevant resources from dif- ability problems that will be addressed prior to the widget’s ferent social media sites [3], repositories and search engines. usage in a real learning context. Before rendering aggregated results, the widget calls a per- sonalized social recommendation service deemed as crucial Author Keywords in helping users select relevant resources especially in our federated search, social recommendations, widget, Web, per- information overload age [4,5]. The recommendation ser- sonal learning environment (PLE), Pagerank, social media, vice ranks these resources according to their global popu- Web 2.0 larity and most importantly their popularity within the social network of the target user. Ranks are computed by exploiting attention metadata and social networks in the widget. -
Unicorn: a System for Searching the Social Graph
Unicorn: A System for Searching the Social Graph Michael Curtiss, Iain Becker, Tudor Bosman, Sergey Doroshenko, Lucian Grijincu, Tom Jackson, Sandhya Kunnatur, Soren Lassen, Philip Pronin, Sriram Sankar, Guanghao Shen, Gintaras Woss, Chao Yang, Ning Zhang Facebook, Inc. ABSTRACT rative of the evolution of Unicorn's architecture, as well as Unicorn is an online, in-memory social graph-aware index- documentation for the major features and components of ing system designed to search trillions of edges between tens the system. of billions of users and entities on thousands of commodity To the best of our knowledge, no other online graph re- servers. Unicorn is based on standard concepts in informa- trieval system has ever been built with the scale of Unicorn tion retrieval, but it includes features to promote results in terms of both data volume and query volume. The sys- with good social proximity. It also supports queries that re- tem serves tens of billions of nodes and trillions of edges quire multiple round-trips to leaves in order to retrieve ob- at scale while accounting for per-edge privacy, and it must jects that are more than one edge away from source nodes. also support realtime updates for all edges and nodes while Unicorn is designed to answer billions of queries per day at serving billions of daily queries at low latencies. latencies in the hundreds of milliseconds, and it serves as an This paper includes three main contributions: infrastructural building block for Facebook's Graph Search • We describe how we applied common information re- product. In this paper, we describe the data model and trieval architectural concepts to the domain of the so- query language supported by Unicorn. -
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search Alexandra Vtyurina∗ Adam Fourney Meredith Ringel Morris University of Waterloo Microsoft Research Microsoft Research Waterloo, Ontario, Canada Redmond, WA, USA Redmond, WA, USA [email protected] [email protected] [email protected] Leah Findlater Ryen W. White University of Washington Microsoft Research Seattle, WA, USA Redmond, WA, USA [email protected] [email protected] ABSTRACT INTRODUCTION People with visual impairments often rely on screen readers People with visual impairments are often early adopters of when interacting with computer systems. Increasingly, these audio-based interfaces, with screen readers being a prime individuals also make extensive use of voice-based virtual example. Screen readers work by transforming the visual assistants (VAs). We conducted a survey of 53 people who are content in a graphical user interface into audio by vocalizing legally blind to identify the strengths and weaknesses of both on-screen text. To this end, they are an important accessibility technologies, and the unmet opportunities at their intersection. tool for blind computer users – so much so that every major We learned that virtual assistants are convenient and accessible, operating system includes screen reader functionality (e.g., but lack the ability to deeply engage with content (e.g., read VoiceOver1, TalkBack2, Narrator3), and there is a strong mar- beyond the frst few sentences of an article), and the ability ket for third-party offerings (e.g., JAWS4, NVDA5). Despite to get a quick overview of the landscape (e.g., list alternative their importance, screen readers have many limitations.