Matches in ScholarlyData for { ?s ?p ?o. }
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- item-6 hasContent enrico-motta.
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- 369 creator christoph-meinel.
- 369 creator harald-sack.
- 369 creator serge-linckels.
- 369 type InProceedings.
- 369 label "Retrieval Optimization of Pertinent Answers for NL Questions with the E-Librarian Service".
- 369 sameAs 369.
- 369 abstract "Video recordings of lectures most times are monolithic entities that cannot be integrated into an active learning process offhand. We present the web-based E-Librarian service CHESt that matches a user's question given in natural language to a selection of semantically pertinent lecture recordings based on an adapted best cover algorithm. Our e-Librarian Service is able to augment the educational value of lecture recordings and thus, to overcome the current deadlock situation in e-learning.".
- 369 hasAuthorList authorList.
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- 369 title "Retrieval Optimization of Pertinent Answers for NL Questions with the E-Librarian Service".
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- item-1 hasContent serge-linckels.
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- item-3 hasContent christoph-meinel.
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- 370 creator atsushi-togashi.
- 370 creator daisuke-noheji.
- 370 creator goichi-itabashi.
- 370 creator toshiko-yoshida.
- 370 type InProceedings.
- 370 label "Human Resource Management System introducing Healthcare of Employee".
- 370 sameAs 370.
- 370 abstract "Human Resource Management (HRM) aims a strategic human resource administration in a company organization. In order to support HRM, various information systems have been developed conventionally. They are used for management of personal information, ability evaluation, and employee education. By introducing HRM, a company can develop employees and allocate them into adequate position. However, when an employee leaves him/her job due to a problem of the health, the effect of HRM may be reduced. Therefore, a productivity of a whole organization may be also reduced. We assume that there exists strong relevance in HRM and the health of the employee and develop Healthy Human Resource Management (H2RM) system. This system offers a recommendation of health education contents that is included in H2RM system. The recommendation is derived by an inference system based on an ontology and inference rule about health and disease. By using the inference system, the health condition of an employee is decided according to their health condition. Then the system offers the recommendation of healthcare education contents.".
- 370 hasAuthorList authorList.
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- 370 title "Human Resource Management System introducing Healthcare of Employee".
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- item-1 hasContent daisuke-noheji.
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- item-4 hasContent atsushi-togashi.
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- 371 creator fuyuki-ishikawa.
- 371 creator shinichi-honiden.
- 371 creator yukino-baba.
- 371 type InProceedings.
- 371 label "Extracting and Utilizing Event-Context Relationships in Blogsphere".
- 371 sameAs 371.
- 371 abstract "A keyword-based web search cannot accept a user's detailed intention for a search. Consideration has been made concerning the annotation of context data (e.g. contents creation time and location) for a web search in response to this problem. However, it would require users to handle accurate context data in search queries. This paper proposes a method to associate keywords with context data by analyzing blog entries annotated with context data, including an efficient mechanism for indexing.".
- 371 hasAuthorList authorList.
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- 371 title "Extracting and Utilizing Event-Context Relationships in Blogsphere".
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- item-1 hasContent yukino-baba.
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- item-2 hasContent fuyuki-ishikawa.
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- item-3 hasContent shinichi-honiden.
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- 372 creator eero-hyvoenen.
- 372 creator riikka-henriksson.
- 372 creator robin-lindroos.
- 372 creator tomi-kauppinen.
- 372 type InProceedings.
- 372 label "An Ontology Service for Geographical Content".
- 372 sameAs 372.
- 372 abstract "Geographic place names are widely used but are semantically often highly ambiguous. For example, there are 491 places in Finland sharing the same name "Isosaari" (great island) that are instances of several geographical classes, such as Island, Forest, Peninsula, Inhabited area, etc. Referencing unambiguously to a particular "Isosaari", either when annotating content or during information retrieval, can be quite problematic and requires usage of advanced search methods and maps for semantic disambiguation. This paper presents an ontology server, ONKI-Paikka, for solving the place finding and place name disambiguation problem. In ONKI-Paikka, places can be found by a faceted search engine, combined with semantic autocompletion and a map service for constraining search and for visualizing results. The service can be connected to legacy applications cost-effectively by using Ajax-technology in the same spirit as Google Maps that is used in ONKI-Paikka as a subservice.".
- 372 hasAuthorList authorList.
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- 372 title "An Ontology Service for Geographical Content".