Title: Next Generation Search Implications for Cataloging and Metadata Creation
1Next Generation Search Implications for
Cataloging and Metadata Creation
2Next Generation Search is already here!!!
3University of Minnesotas Primo
4Oklahoma State Universitys Aquabrowser
5University of Washington WorldCat Local
6Record within WorldCat Local
7Record within UIUC Online Catalog
8Amazons bibliographic records
9Amazons rich metadata
10Online catalog to facilitate successful search
- Search to help a researcher find what she or he
wants - Need to provide 1) broad net to find all that
is out there, 2) narrow down to relevant
resources, and 3) a way to do known item
searching - Intuitive navigation between results
- Need to allow the user to figure out the easiest
way to get this content, whether full-text book,
article, print resource, archive, dataset, image,
etc.
11Next Gen search can allow
- Integration of formats (and the accompanying
metadata) - Better inclusion of table of contents (as part of
MARC record or as separate pile to search) - Relevancy ranking of terms, names and phrases
within the index of book or the actual content of
the full-text book - Interconnectivity of resources moving from
citation to citation (as more and more resources
are in digital form)
12More and more metadata at our fingertips
- Digitization projects Google, Microsoft, Open
Content Alliance, Amazon, Million Book Project,
EU digitization project, etc. - ONIX feeds from publishers and vendors
- Using METS and ATOM to create file structure to
pull these desperate data elements together - Using OAI-PMH or OAI-ORE to harvest data from
various sources - OCLCs work to provide comprehensive
uber-metadata records for all resources,
combining data from libraries and publishers to
create
13Googles More about this book metadata record
14Facets
- Material Type
- Author/Creator
- Date
- Subject
- Library Location
- Language
- Call Number
- Availability
- Series
- Serial title changes
- Translations
- Works cited
- Keyword clouds
- Dewey has great potential as a facet
15Facets can utilize MARC to its fullest
capabilities
- Fixed fields
- Series statements (440, 490, and 830 fields)
- Uniform titles (240) linking translations
- Language (041)
- Identifiers (022, 035, 776)
- Publisher
- Author fields (1xx, 7xx
- Authority records play an important in all this
- Accuracy is so critical to this process
16Authority Control errors front and center
17MARC cant handle all data
- Images
- Value-added information such as biographies,
reviews, automation of inclusion of TOCs - Indices
- Bibliographies
- Cross references within sources
- Correction of past practices (not including all
the authors, abbreviations, publication
information, etc.)
18Catalog as Dataset
- UIUC Catalog is probably about 4 gigabytes of
data - Could fit on one of these external hard drives or
thumb drive - Robust editing tools out there for XML-based data
19Automating Metadata Creation and Maintenance
- This is where we need to get as soon as we can
- There will always be a human element to this.
- But, we need to be able to pull in/harvest data
from where we can. - Need to have the ability to work with MARC and
XML - Need to be able to pull out a hunk of data and
change certain elements, en masse. - MARC can still be a critical element in this work
20MARC (redux)
- LCSH, LCC, Dewey, Authority Control, AACR2 or RDA
all still have an important role today but so
does Dublin Core, MARC XML, MODS, other
controlled vocabularies, semantic web, metasearch
and federated search - Keeping our surrogate metadata records as
accurate, current and complete as possible should
be our focus as we continue forward - MARC still has a role to play but it needs to
become more flexible and fluid to incorporate new
and emerging technologies. - These next generation search tools, such as
Aquabrowser, Primo, WorldCat Local, VU Find,
etc., are also critical in moving us forward to
reclaim our central role in facilitating research