introducing serials solutions

SS_T.09

Introducing Serials Solutions

Advancing library technology with a history of firstsFIRST A-to-Z Title ListFIRST e-resource knowledgebase FIRST MARC records updating service for e-resources FIRST federated search engine featuring results clustering FIRST integrated e-resource management systemFIRST e-resource assessment serviceFIRST e-resource access and management solution

(ERAMS)FIRST web scale discovery service

“Software makes it possible, but the

knowledgebase makes it work.”

Peter McCrackenCo-Founder, Serials Solutions

Normalisation

Federated Search Vs Web Scale Discovery

Federated Search

Search Box

NativeDatabase

Federated Search

Search Box

NativeDatabase

Results based on provider and connector; typically 15-20 results only

Federated Search

Search Box

NativeDatabase

Federated search can not relevancy rank

Federated Search

Search Box

NativeDatabase

The fastest federated search returns results in 30-40

Google sets expectations of sub-second search

Federated search is a weak link in hybrid solutions

Federated Search

Search Box

NativeDatabase

If the connector breaks (and the do all the time) there are no results shown

Web-Scale Discovery

IndexSearch Box

Web-Scale Discovery

IndexSearch Box

Results based on full index

Web-Scale Discovery

IndexSearch Box

True relevance ranking

ONE SEARCH BOX

YOUR LIBRARY DISCOVERED

The Millennials

Want to be self-sufficientThey do NOT ask questionsThey want to be anonymousThey expect all search systems to behave like Google, Bing, and other Open Web search enginesToday’s student = Tomorrow’s faculty

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The superior source for quality, credible content

Preferred for academic research and course assignments

Libraries Have an Edge

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The easiest place to start the research process

Different Behavior

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• Compensatory behavior…

Existing Options for Accessing Library Content

Library catalog

• eResources page

Electronic Resources

Physical collection

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Familiar Alternative

SimpleFastEasy

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Value Gap

Amount Spent on Materials

Perceived Value of Library

Value Gap

OnlineCatalogs

WWWBrowser

NOTE: Medial amount spent on materials by ARL libraries

CD-ROMs

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Only One Way to Meet Users’ Needs

Built from scratch and built to purposeArchitected like Google and other Open Web solutionBuilt to handle large data and deliver results fastPre-Harvested content in a single unified indexMoves libraries beyond federated search

Over 400 libraries in 40 countries

Proven SaaS: Most libraries fully implemented in just 6-8 weeks

Growing list of Summon libraries

Database Recommender

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Semantic AutoComplete

Suggestions are Semantic

Suggestions from Open Access and Crowd-Source Content

Great for authorized name searching and scientific terms

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Contextual Facets

Facet Categories changes based on Search scope

Searching just the library catalog reveals

AuthorGenreRegionTime Period

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Static Rank

Query

Static Rank

Relevance Ranked Result List

Dynamic Rank

Static RankContent TypePublication DateScholarly/Peer Reviewetc.

Dynamic RankTerm FrequencyField WeightingTerm StemmingStop Word Processingetc.

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Web of Science

Times Cited counts on Search Results page

Counts included in Static Rank

Look for Pop-up Window coming soon

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Internationalisation

User Interface Translated into 25 Languages

Working on native searching in many languages

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Subject Guides Display

Allows easier discoverability of Subject Guides

Provides Sub Navigation

Shows Librarian’s Photo

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Lets take a look …