《高级Web技术》参考资料：语义Web课件 A Semantic Web Primer_Chapter6 Applications

Chapter 6 Applications Grigoris Antoniou Frank van Harmelen 1 Chapter 6 A Semantic Web Primer

1 Chapter 6 A Semantic Web Primer Chapter 6 Applications Grigoris Antoniou Frank van Harmelen

Lecture Outline Horizontal Information Products at Elsevier 2. Data Integration at audi 3. Skill Finding at Swiss Life 4. Think Tank Portal at enersearch 5. E-Learning 6. Web services 7. Other Scenarios Chapter 6 A Semantic Web primer

2 Chapter 6 A Semantic Web Primer Lecture Outline 1. Horizontal Information Products at Elsevier 2. Data Integration at Audi 3. Skill Finding at Swiss Life 4. Think Tank Portal at EnerSearch 5. E-Learning 6. Web Services 7. Other Scenarios

Elsevier- The Setting Elsevier is a leading scientific publisher o Its products are organized mainly along traditional lines. Subscriptions to journals o Online availability of these journals has until now not really changed the organisation of the productline Customers of Elsevier can take subscriptions to online content 3 Chapter 6 A Semantic Web primer

3 Chapter 6 A Semantic Web Primer Elsevier – The Setting ⚫ Elsevier is a leading scientific publisher. ⚫ Its products are organized mainly along traditional lines: – Subscriptions to journals ⚫ Online availability of these journals has until now not really changed the organisation of the productline ⚫ Customers of Elsevier can take subscriptions to online content

Elsevier- The Problem Traditional journals are vertical products Division into separate sciences covered by distinct journals is no longer satisfactory Customers of elsevier are interested in covering certain topic areas that spread across the traditional disciplines/journals The demand is rather for horizontal products Chapter 6 A Semantic Web primer

4 Chapter 6 A Semantic Web Primer Elsevier – The Problem ⚫ Traditional journals are vertical products ⚫ Division into separate sciences covered by distinct journals is no longer satisfactory ⚫ Customers of Elsevier are interested in covering certain topic areas that spread across the traditional disciplines/journals ⚫ The demand is rather for horizontal products

Elsevier -The Problem(2) Currently, it is difficult for large publishers to offer such horizontal products Barriers of physical and syntactic heterogeneity can be solved (with XML) The semantic problem remains unsolved We need a way to search the journals on a coherent set of concepts against which all of these journals are indexed 5 Chapter 6 A Semantic Web primer

5 Chapter 6 A Semantic Web Primer Elsevier – The Problem (2) ⚫ Currently, it is difficult for large publishers to offer such horizontal products – Barriers of physical and syntactic heterogeneity can be solved (with XML) – The semantic problem remains unsolved ⚫ We need a way to search the journals on a coherent set of concepts against which all of these journals are indexed

Elsevier- The Contribution of Semantic Web Technology o Ontologies and thesauri(very lightweight ontologies) have proved to be a key technology for effective information access They help to overcome some of the problems of free-text search They relate and group relevant terms in a specific domain They provide a controlled vocabulary for indexing information 6 Chapter 6 A Semantic Web primer

6 Chapter 6 A Semantic Web Primer Elsevier – The Contribution of Semantic Web Technology ⚫ Ontologies and thesauri (very lightweight ontologies) have proved to be a key technology for effective information access – They help to overcome some of the problems of free-text search – They relate and group relevant terms in a specific domain – They provide a controlled vocabulary for indexing information

Elsevier- The Contribution of Semantic Web Technology(2) o A number of thesauri have been developed in different domains of expertise Medical information Mesh and elsevier's life science thesaurus ENtree o RDF is used as an interoperability format between heterogeneous data sources EMTREE is itself represented in RDF 7 Chapter 6 A Semantic Web primer

7 Chapter 6 A Semantic Web Primer Elsevier – The Contribution of Semantic Web Technology (2) ⚫ A number of thesauri have been developed in different domains of expertise – Medical information: MeSH and Elsevier’s life science thesaurus EMTREE ⚫ RDF is used as an interoperability format between heterogeneous data sources ⚫ EMTREE is itself represented in RDF

Elsevier- The Contribution of Semantic Web Technology (3) o Each of the separate data sources is mapped onto this unifying ontology The ontology is then used as the single point of entry for all of these data sources 8 Chapter 6 A Semantic Web primer

8 Chapter 6 A Semantic Web Primer Elsevier – The Contribution of Semantic Web Technology (3) ⚫ Each of the separate data sources is mapped onto this unifying ontology – The ontology is then used as the single point of entry for all of these data sources

Lecture Outline Horizontal Information products at elsevier 2. Data Integration at Aud 3. Skill Finding at Swiss Life 4. Think Tank Portal at enersearch 5. E-Learning 6. Web services 7. Other Scenarios 9 Chapter 6 A Semantic Web primer

9 Chapter 6 A Semantic Web Primer Lecture Outline 1. Horizontal Information Products at Elsevier 2. Data Integration at Audi 3. Skill Finding at Swiss Life 4. Think Tank Portal at EnerSearch 5. E-Learning 6. Web Services 7. Other Scenarios

Audi- The problem o Data integration is also a huge problem internal to companies It is the highest cost factor in the information technology budget of large companies Audi operates thousands of databases e Traditional middleware improves and simplifies the integration process But it misses the sharing of information based on the semantics of the data 10 Chapter 6 A Semantic Web primer

10 Chapter 6 A Semantic Web Primer Audi – The Problem ⚫ Data integration is also a huge problem internal to companies – It is the highest cost factor in the information technology budget of large companies – Audi operates thousands of databases ⚫ Traditional middleware improves and simplifies the integration process – But it misses the sharing of information based on the semantics of the data