Meeting information management based on Semantic Web

Transcription

1 1 WWW2005 Workshop (May 10th, 2005) Activities on Semantic Web Technologies in Japan Meeting information management based on Semantic Web Semantic Web integrates system, information appliance, and knowledge Fujitsu Laboratories Ltd. Hiroshi Tsuda, Nobuyuki Igata

2 Human Knowledge Navigator : Background 2 Why KnowWho? The Knowledge Worker Investment Paradox, Gartner research, Eric Shmidt, Google CEO, (Google announced KnowWho search using Orkut.com) Know Who, especially human network search, is becoming necessary for enterprise Problems in KnowWho system Manually registration-based system : maintenance cost of KnowWho DB is very high. Semi-automated maintenance technology of KnowWho DB is required.

3 Human Knowledge Navigator : UseCase 3 At customer meeting Proposal with our new technology is urgently necessary!? Who is the key engineer? With whom can I contact right now? I have to process customer s technical claim immediately! (1) (1) Automatic extraction of of users profiles from daily works (2) (2) Finding key person and making seamless communications Ubiquitous Human-centered Working Style

4 Demonstration 4 Technical map Proposal with with advanced XML technology is is urgently needed! Personal Connection map Person to Knowledge

5 Human Knowledge Navigator : Modules 5 Semi-automatic Semi-automatic extraction extraction of of human human profiles profiles (metadata) (metadata) from from daily daily meetings meetings and and office office documents documents Service Service Person Person Schema/Ontology Doc Person meeting group XML: extensible Markup Language RDF: Resource Description Framework Documents Documents

6 Natural Language Processing to manage RDF (Resource Description Framework) triples predicate Subject Object lexical analysis, keyword extraction Technical Report basic profiles Role Organization First Lab. Create Agents Employee Name Takuya Kimura Employee DB Participate Schedule Information Ontology matching, Artifact Name identification document metadata T.Kimura Event meeting metadata Semantic Web Author RDF Study of SW Document Title Keyword Kimura Title Date SW.report Meeting XML 2003/3/11 Member Date Kudo Has_a 2003/3/11 Kwd. Assoc. & Human. Assoc. visualization Inf. Extraction (date) & visualization 6

7 7 Groupware Company A Company B Office systems , Forum Document Management RDF Conversion RDF Conversion Organization Office equipment Digital Camera OWL Mapping OWL mapping and access Event control OWL mapping and access control FOAF Projector Copyright@2004, All FUJITSU Rights Reserved, LABORATORIES Copyright LTD & FUJITSU RICOH LABORATORIES COMPANY, LTD. & RICOH COMPANY, LTD. Role okar:member Agent Person Access Control RSS Role RSS Reader Search Engine RF-ID dc:creator i:attendee Social Networking Printer RDF Conversion RDF Conversion Document GroupEvent icalendar Artifact i:attach Web Calendar

8 8 Ex. Usage of Role Role represents situation-dependent characteristics of Agents, such as additional posts and temporal movements. Ex.1)Mr. Yamada belongs to division A and B #org:cdivision #org:adivision vcard:fn okar:member vcard:bday okar:dday vcard:titile Director Division-A vcard:titile #role:taro Yamada:A okar:member Director okar:hasrole #role:taro Yamada:A Taro Yamada vcard:fn vcard:fn #person: TaroYamada Division-A okar:owner Taro Yamada vcard:fn #person: TaroYamada Senior Director vcard:titile okar:hasrole #role:taro Yamada:C okar:owner #org:bdivision #org:adivision okar:member #role:taro Yamada:B vcard:fn okar:member Senior Researcher Ex.2) Mr. Yamada in Division A moves to Division C on 25 th Oct vcard:fn vcard:bday Division-B vcard:titile Division-C

9 9 OWL-S Meeting Room Service RFID tags Metadata Repository OWL-S OWL-S Meeting activities OKAR/OWL #Person-2 #Role-2 #Role-1 dc:creator #Document-1 System Integration Server Daily activities #Person-1 i:attendee #Meeting-1 i:attach Heterogeneous applications

10 Person A attends the conference with IC card and PDA 10 Meeting information service

11 Person A throws his material to the projector and makes presentation (TaskComputing) 11

12 Meeting activity metadata in OKAR/OWL 12 place, date attendance

13 ooking for expert on security who can attend e conference now. (KnowWho from OKAR) 13

14 ommunication with the expert through VoIP The communication metadata is also recorded OKAR 14

15 15 Summary Comments about OKAR are welcome! Ontologies for information appliance should be created by Japanese Semantic Web communities such as INTAP semantic Web committee. References Fujitsu Laboratories Ltd. Ubiquitous Meeting Information Manager, ISWC (Intl. Semantic Web Conference) 2004 Exhibition, Hoshiai, Yamane, Tsuda, Nakamura, A Semantic Category Matching Approach to Ontology Alignment, ISWC (Intl. Semantic Web Conference) 2004 EON2004 Workshop, Igata, Tsuda, Katayama, Kozakura: Semantic groupware and its application to KnowWho using RDF, ISWC(Intl. Semantic Web Conference) 2003 (poster), OKAR homepage http//

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