Maximizing the Value of STM Content through Semantic Enrichment. Frank Stumpf December 1, 2009
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1 Maximizing the Value of STM Content through Semantic Enrichment Frank Stumpf December 1, 2009
2 What is Semantics and Semantic Processing? Content Knowledge Framework Technology Framework Search Text Images Codes Human expertise Machine readable format Knowledge Discovery Convergence of Content, Cognition and Technology
3 Evolution of Semantic Processing Process Methodology Outcome Semantic Web HTML, XML, RDF Data Relationships Semantic Search Metadata, Indexing Information Extraction Semantic Indexing Classification Taxonomy, Ontology Knowledge Structuring Semantic Enrichment Annotations, Links, Citations Knowledge Discovery The ultimate objective is to maximize the findability of knowledge hidden in a maze of content
4 Challenges to Findability Convergence of disciplines Bio engineering Multiple applications - Green technologies Ambiguities in concepts Alcohol : song, journal title, organic chemical Explosion in the volume of content 5.5 million researchers worldwide 1.4 million articles are written annually by these researchers 1.7 million patents Expanding grey literature Complex relationships Increasing complexity of content Chemical structures Genetic sequences Maps - Hyperlinks
5 How Semantic Enrichment Improves Findability Precision in Search Depth Search Beyond Search Filter irrelevant data Extract hidden meaning Explore further
6 Techniques and Tools to Improve Findability Metadata & Keywords Abstracts & Reviews Citations Analysis Text & Data Mining SEARCH SELECT SEEK DISCOVER
7 Solutions - Automated Open Calais Newssift Examples Type of Content Newsletters Websites News Domains General content Automated Technology Used RDF NLP Semantic Enrichment Process Extraction of named entities
8 Solutions - Semi Automated Examples Nature Chemistry RSC Elsevier- Cell Type of Content Journal articles Technical literature Domains Medical Life Sciences Chemistry Semi- Automated Technology Used Ontologies Text mining Semantic Enrichment Process Extraction of technical data Indexing of concepts
9 Solutions - Manual Example Dialog Type of Content Patents Genetics literature Biomedical images Domains Engineering Medical Life Sciences Manual Technology Used Semantic Enrichment Process Conceptual summaries
10 Semantic Enrichment Inserting conceptual codes in structured documents Annotating concepts with medical codes Semantic Coding Extracting concepts to index documents Indexing medical images with diagnostic metadata Semantic Indexing Search, retrieve, cluster visualize knowledge generated from a simple user query Image Indexing Semantic Search & Discovery Semantic Mark-up - Hyperlinks
11 How STM Publishers Can Exploit the Power of Semantics Use semantic technologies in production & delivery platforms Provide technology-enabled services that help STM content users discover actionable Knowledge from data repositories Use machine learning, linguistics, and semantic technologies to power comprehensive search, navigation, and discovery over all forms of information Contextualize services and products Support task-specific knowledge work Content is no longer a static asset for STM publishers but an evolving gene with more and more intelligence
12 Thank you! Comments / Questions / Enquiries: fstumpf@scopeknowledge.com
13 Challenges to Findability Convergence of disciplines Bio engineering CHEMICAL STRUCTURES Multiple applications - Green technologies Ambiguities in concepts Alcohol: song, journal title, organic chemical CLOSE Explosion in the volume of content 5.5 million researchers worldwide 1.4 million articles are written annually by these researchers 1.7 million patents Expanding grey literature Complex relationships Chemical structures Increasing complexity of content Genetic sequences Maps - Hyperlinks
14 Challenges to Findability Convergence of disciplines Bio engineering GENETIC SEQUENCES Multiple applications - Green technologies Ambiguities in concepts Alcohol: song, journal title, organic chemical CLOSE Explosion in the volume of content 5.5 million researchers worldwide 1.4 million articles are written annually by these researchers 1.7 million patents Expanding grey literature Complex relationships Chemical structures Increasing complexity of content Genetic sequences Maps - Hyperlinks
15 Challenges to Findability Convergence of disciplines Bio engineering MAPS Multiple applications - Green technologies Ambiguities in concepts Alcohol: song, journal title, organic chemical CLOSE Explosion in the volume of content 5.5 million researchers worldwide 1.4 million articles are written annually by these researchers 1.7 million patents Expanding grey literature Complex relationships Chemical structures Increasing complexity of content Genetic sequences Maps - Hyperlinks
16 Automated Semantic Tagging
17 Automated Semantic Tagging
18 Automated Semantic Tagging Unstructured content
19 Automated Semantic Tagging
20 Automated Semantic Tagging Tagged output RDF output Extracted entities Back
21 Automated Semantic Tagging Back
22 Semi Automated Semantic Enrichment Input < HTML> < HTML> < HTML> Text Mining Manual QA Database
23 RSC Publishing
24 RSC Publishing Showing compounds Showing chemical terms Chemical structure Back
25 Elsevier Reflecta Tool Back
26 Elsevier Reflecta Tool Chemical Proteins
27 Nature Chemistry
28 Nature Chemistry Chemical Compounds
29 Nature Chemistry Annotation
30 Nature Chemistry Links to more information Back
31 Simple Metadata Based Search
32 Advanced Search after Semantic Mark-up Semantic mark-up Back
33 Semantic Structuring of Patent Abstracts WO A1 TITLE: Self-healing roll for surface conditioning of sheets, e.g. metal sheets, has non-woven web elements comprising entangled fibers held together by a bonding agent NOVELTY - A self-healing article e.g. in the form of roll (21) comprises several compacted stacked web elements (22) having entangled fibers bonded together at points of mutual contact by a bonding agent. The article is resistant to an oxidizing agent and has a Shore A hardness of and a void volume of 2-30%. USE - For surface conditioning of sheets, e.g. metal sheets. ADVANTAGE - The invention provides a self-healing article resistant to oxidizing agents having an increased life span. If used, results in fewer roll replacements and unscheduled production line downtimes. Chances of chemical contamination between treating solutions are also minimized. Back
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