Semantic based P2P System for local e-Government Fernando Ortiz-Rodriguez 1, Raúl Palma de León 2 and Boris Villazón-Terrazas 2 1 1Universidad Tamaulipeca 2 Ontology Engineering Group. Laboratorio de Inteligencia Artificial Facultad de Informática Universidad Politécnica de Madrid AST 2006 INFORMATIK 2006 Dresden, Germany Oct 6 th 2006

2 Outline Motivation Motivation Main Goals Main Goals Related Work Related Work EGO Model EGO Model Egoster Egoster Goals Goals Functionalities Functionalities Application Scenario-DEMO Application Scenario-DEMO Conclusions Conclusions

3 Motivation Improve services at the back-office Improve services at the back-office To aid with the document management at Public Administrations To aid with the document management at Public Administrations The possible impact of this application The possible impact of this application To help on Developing Countries To help on Developing Countries

4 Main Goals To reduce the variability curve in government services To reduce the variability curve in government services To implement cutting edge technology in Latin American To implement cutting edge technology in Latin American To have an ontology model that support this type of applications To have an ontology model that support this type of applications To reduce operative costs To reduce operative costs

5 Related Work Semantic-based Peer- to-Peer systems SWAP Project (Semantic Web and Peer-to-Peer). SWAP Project (Semantic Web and Peer-to-Peer). Edutella. It focuses on the exchange of learning Edutella. It focuses on the exchange of learningmaterial. X-Leges System. This is for Legislative document exchange. X-Leges System. This is for Legislative document exchange.

6 Related Work E-Government within the Semantic Web  DIP Project (  To develop and extend Semantic Web and Web Service technologies in order to produce a new technology infrastructure for Semantic Web Services.  IFIP Working Group 8.5 (  To improve the quality of information systems in public administration at international, national, regional and local levels.  Ontogov project (  To develop and validate a platform that will facilitate the consistent composition, reconfiguration and evolution of e-government services.  Egov project (  To specify, develop, deploy and demonstrate an integrated platform for realising online one-stop government.  WEBOCRAT project (  To establish efficient systems providing effective and secure user-friendly tools, working methods, and support mechanisms to ensure the efficient exchange of information between citizens and administrations.  HOPS project ( )  HOPS is a three-year project focused on the deployment of advanced ICT "voice- enabled front-end public platforms" in Europe permitting access for European citizens to their nearest Public Administration.

7 EGO Model Different actors within e-Gov. Different actors within e-Gov. Public Administration has many processes inside which should work properly to provide efficient services. Public Administration has many processes inside which should work properly to provide efficient services. The dynamics of the Public Administration provides a huge amount of information to be processed and these data should be managed in a transparent and efficient way. The dynamics of the Public Administration provides a huge amount of information to be processed and these data should be managed in a transparent and efficient way. It is necessary to manage this vast amount of information in a transparent and efficient way. It is necessary to manage this vast amount of information in a transparent and efficient way.

8 EGO Model Roles: The first role is to organize and structure information in the e-Gov domain, mainly by defining the terms used The first role is to organize and structure information in the e-Gov domain, mainly by defining the terms used The second role is the reasoning and problem solving; this role basically represents the knowledge of the domain so that an automated reasoner can represent problems and generate solutions for these problems, what implies the use of an inference engine to achieve specific goals The second role is the reasoning and problem solving; this role basically represents the knowledge of the domain so that an automated reasoner can represent problems and generate solutions for these problems, what implies the use of an inference engine to achieve specific goals The third role is the semantic indexing and searching (where the ontology will represent the contents of documents) that will enable semantic search for content The third role is the semantic indexing and searching (where the ontology will represent the contents of documents) that will enable semantic search for content

9 Egoster Goals To aid Public Administration to find and share government documents within the back office. To aid Public Administration to find and share government documents within the back office. To provide interoperability between e-Govs offices. To provide interoperability between e-Govs offices. To improve citizens-government interaction. To improve citizens-government interaction. To offer a scalable technology that could be adapted to future requirements of the Public Administration. To offer a scalable technology that could be adapted to future requirements of the Public Administration.

10 Egoster Functionalities The government document collection is located at each public administration office and is stored locally in the file system of each peer (i.e. Birthday certificate, real- state transaction documents, etc.). Formulating queries Formulating queries Routing queries Routing queries Processing queries Processing queries

11 Egoster Functionalities Formulating queries Formulating queries The user can search for legal documents using simple keyword searches, or using more advanced, semantic searches. Here, queries are formulated in terms of two ontologies: (1) the legal document ontology which describes the properties of the legal documents, (2) a geographic hierarchy of local administration offices (i.e. the Spanish local administration offices)

12 Egoster Functionalities Routing queries Routing queries The user may query a single specific peer (e.g. their own computer, because it is the local administration office where the document resides, or users may want to query another peer in particular because this peer is known in advance as the location where the information resides), or a specific set of peers (e.g. all the members under the same manager), or the entire network of peers (e.g. when the user has no idea where to search)

13 Egoster Functionalities Processing queries Processing queries In order to process a query, whether the query comes from the user interface or from other peers, the peer tries to answer the query or distribute it further according to the content of the query.

14 Egoster - Application Scenario Egoster - Application Scenario

15 DEMO

16 Conclusions We have presented the Semantic P2P Egoster, even though this application is at initial state, it has well defined goals as supporting semantic applications to retrieve legal documents and on delivering services from the public administration (within the government) to citizens. The e-Gov domain does still have many needs: knowledge, for instance, has not been modeled at all. These needs represent real challenges for researchers. We will be focus on further enhancement and evaluation of the Egoster; we will be centered on the reasoning capabilities; we will continue integrating the law and regulation knowledge captured on the EGO Ontology Model and we will compare the model with other ontology models.

Semantic based P2P System for local e-Government Fernando Ortiz-Rodriguez 1, Raúl Palma de León 2 and Boris Villazón-Terrazas 2 1 1Universidad Tamaulipeca 2 Ontology Engineering Group. Laboratorio de Inteligencia Artificial Facultad de Informática Universidad Politécnica de Madrid AST 2006 INFORMATIK 2006 Dresden, Germany Oct 5 th 2006