Embed Size (px)
DESCRIPTION
The last 10 years have seen a massive increase in the amounts of Open Access publications available in journals and institutional repositories. The existence of large volumes of free state-of-the-art knowledge online has the potential to provide huge savings and benefits in many fields. However, in order to fully leverage this knowledge, it is necessary to develop systems that (a) make it easy for users to access, discover and explore this knowledge, (b) that lower the barriers to the development of systems and services building on top of this knowledge and (c) that enable to freely analyse how this knowledge is organised and used. In this paper, we argue why these requirements should be fulfilled and show that current systems do not satisfy them. We also present CORE, a large-scale Open Access aggregation system, outline its functionality and architecture and demonstrate how it addresses the above mentioned needs and how it can be applied to benefit the whole ecosystem including institutional repositories, researchers, general public and government.
Citation preview
1/52
CORE: Aggregating and Enriching Content to Support Open Access
Petr KnothThe Open University
2/52
Outline
1. Aggregating Open Access (OA) publications – why, how, what for?
2. The CORE system3. Supporting research in mining databases of scientific
publications (DiggiCORE)
3/52
Outline
1. Aggregating Open Access (OA) publications – why, how, what for?
2. The CORE system3. Supporting research in mining databases of scientific
publications (DiggiCORE)
4/52
Growth of items in Open Access repositories
5/52
Growth of Open Access repositories
6/52
Growth of articles in OA journals
7/52
Growth of OA journals
8/52
Green Open Access - statistics
9/52
Why we need aggregations?
“Each individual repository is of limited value for research: the real power of Open Access lies in the possibility of connecting and tying together repositories, which is why we need interoperability. In order to create a seamless layer of content through connected repositories from around the world, Open Access relies on interoperability, the ability for systems to communicate with each other and pass information back and forth in a usable format. Interoperability allows us to exploit today's computational power so that we can aggregate, data mine, create new tools and services, and generate new knowledge from repository content.’’
[COAR manifesto]
10/52
Access to information according to the level of abstraction
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Semantic Enrichm
ent
Interfaces
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information access
Aggregation
11/52
Who should be supported by aggregations?
The following users groups (divided according to the level of abstraction of information they need):
• Raw data access. • Transaction information access.• Analytical information access.
12/52
Who should be supported by aggregations?
• The following users groups (divided according to the level of abstraction of information they need):• Raw data access. Developers, DLs, DL researchers, companies …• Transaction information access. Researchers, students, life-long learners …• Analytical information access. Funders, government, bussiness intelligence
…
13/52
Layers of an aggregation system
Metadata Transfer Interoperability
OLTP OLAP
Metadata Content
Enrichment
Interfaces
14/52
Layers of an aggregation system
Metadata Transfer Interoperability
OLTP OLAP
Metadata Content
Enrichment
Interfaces
OAI-PMH, OAI-ORE … Dublin Core, XML, RDF … PDF, Word …
Annotations
Catalog records
StatisticsAPIs (REST, SOAP, XML-RPC), UIs, Dashboards
15/52
Access to information according to the level of abstraction
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
16/52
Related systems
17/52
Aggregation projects – BASE
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
18/52
Aggregation projects – OAISter/WorldCAT
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
19/52
Aggregation projects – RepUK
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
20/52
Aggregations need access to content, not just metadata!
• Certain metadata types can be created only at the level of the aggregation
• Certain metadata can be changing in time• Ensuring content:• accessibility• availability• validity• quality• …
21/52
Aggregation projects – CiteSeerX
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
22/52
Should an aggregation system support all three user types?
Can be realised by more than one systemproviding that
the dataset is the same!
23/52
Outline
1. Aggregating Open Access (OA) publications – why, how, what for?
2. The CORE system3. Supporting research in mining databases of scientific
publications (DiggiCORE)
24/52
CORE objectives
• CORE aims to provide a comprehensive technical infrastructure
for Open Access scholarly publications that will support access and reuse of scholarly materials at different levels of abstraction.
• A nation-wide aggregation system that will improve the discovery of publications stored in British Open Access Repositories (OARs).
25/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
26/52
CORE functionality
27/52
CORE functionality
Step 1: Metadata and full-text harvesting
Content harvesting, processing
28/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
Semantic similarity, Citation extraction, classsification, …
29/52
CORE functionality
Step 2: Semantic enrichment
Semantic enrichment
30/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
31/52
CORE functionality
Step 3: Providing a set of services on top of the aggregation
Providing services
32/52
CORE applications
• CORE Portal• CORE Mobile• CORE Plugin• CORE API• Repository Analytics
33/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
34/52
CORE ApplicationsCORE Portal – Allows searching and navigating scientific publications aggregated from Open Access repositories
35/52
CORE Applications
CORE Mobile – Allows searching and navigating scientific publications aggregated from Open Access repositories
36/52
CORE ApplicationsCORE Plugin – A plugin to system that recommendations for related items.
37/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
38/52
CORE ApplicationsCORE API – Enables external systems and services to interact with the CORE repository.
39/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
40/52
CORE ApplicationsRepository Analytics – is an analytical tool supporting providers of open access content (in particular repository managers).
41/52
What does CORE provide at different aggregation levels?
Repository
Repository
RepositoryRaw data access
Transaction information access
Analytical information accessInterfaces
Metadata Transfer
Interoperability
OLTP
OLAP
Metadata
Content
Enrichment
Repository Analytics
CORE API
CORE Portal, CORE Mobile, CORE Plugin
42/52
CORE statistics
• Content• 5.4M records• 192 repositories• 402k full-texts
• Started: February 2011• Budget: 140k£
43/52
Outline
1. Aggregating Open Access (OA) publications – why, how, what for?
2. The CORE system3. Supporting research in mining databases of scientific
publications ( )
44/52
Partners
Advisory Board
45/52
Objective
Software for exploration and analysis of very large and fast-growing amounts of research publications stored across Open Access Repositories (OAR).
46/52
DiggiCORE networks
Three networks: (a) semantically related papers,(b) citation network, (c) author citation network
47/52
DiggiCORE objectives
Allow researchers to use this platform to analyse publications. Why?• To identifying patterns in the behaviour of research
communities• To detect trends in research disciplines• To gain new insights into the citation behaviour of researchers• To discover features that distinguish papers with high impact
48/52
Questions the system can help answering?
• What are the attributes of impact publications?• Do these attributes differ in the humanities, social sciences and
computer sciences?• What are the features of research groups within disciplines and
how do these features relate to contributions generated by the group?
• What are the attributes of high-impact authors and what is their role within the group?
• What are the dynamics of successful research groups?
49/52
Questions the system can help answering?
• What is the mechanism of cross-fertilisation within disciplines, especially between the humanities and the sciences?
• Who are the authors whose work is worth monitoring because they contribute to the achievements of their own discipline and also inspire other disciplines?
• How should the novice in the discipline get acquainted with key achievements in the discipline?
• How should he/she search for the most important publications?
50/52
Summary
• The rapid growth of OA content provides both an opportunity as well as a challenge.
• Aggregations should serve the needs of different user groups. • Aggregations need to aggregate content, not just metadata. • We can have many services that are part of the infrastructure,
but should work with the same data.
51/52
Thank you!
Yes we can!
52/52
![Revision Enriching the Functionally Graded Materials (FGM ...Data Model, Core Module Ontology (CDM-Core) [6], a manufacturing ontology that includes both the general manufacturing](https://img.pdfslide.net/doc/110x75/61202e7425f096024f30a91f/revision-enriching-the-functionally-graded-materials-fgm-data-model-core-module.jpg)
![CORE – Aggregating the world’s open access research papers]6` ' * %#+ $* #$ #'4( 66666666666666666666666666666666666666666666666666666 66 ]6`6i %$ 5+ !a*](https://img.pdfslide.net/doc/110x75/6030c5790d15cf07ea72af9e/core-a-aggregating-the-worldas-open-access-research-papers-6-.jpg)
