HealthFinland —Finnish Health Information on the Semantic Web

Hyvönen, Eero; Viljanen, Kim; Suominen, Osma

doi:10.1007/978-3-540-76298-0_56

Cited by 17 publications

(19 citation statements)

References 14 publications

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“…The main reasons for developing HealthFinland using Semantic Web technologies are [17]: facilitating cost-effective, distributed content creation in an interoperable way, aggregating contents automatically based on semantics, and providing the end-users with intelligent services.…”

Section: The Healthfinland Approachmentioning

confidence: 99%

“…The schema was extended with a domain-specific Genre field that describes health information content types such as article, guide, news item and campaign. The original schema has been published [17], and a detailed metadata specification for system implementors is available [34].…”

Section: Content Production Systemmentioning

confidence: 99%

“…From the health information publishers' point of view, a central problem today is that there are many actors and websites but little coordination and cooperation between them, resulting in duplicate work even between non-competitive organizations such as different government institutions [17]. Reusing preexisting web content is mainly done by manually linking websites, but such links quickly expire when websites are restructured or shut down.…”

Section: Introductionmentioning

confidence: 99%

“…The concept and ideas behind HealthFinland have been presented in [17,18]. The design and implementation of the portal information architecture and user interface was presented [33], and the design and implementation of the portal in more detail in [32].…”

Section: Introductionmentioning

confidence: 99%

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HealthFinland—A national semantic publishing network and portal for health information

Suominen

Hyvönen

Viljanen

et al. 2009

Journal of Web Semantics

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Providing citizens with reliable, up-to-date and individually relevant health information on the web is done by governmental, non-governmental, business and other organizations. Currently the information is published with little co-ordination and co-operation between the publishers. For publishers, this means duplicated work and costs due to publishing same information twice on many websites. Also maintaining links between websites requires work. From the citizens point of view, finding content is difficult due to e.g. differences in layman's vocabularies compared to medical terminology and difficulties in aggregating information from several sites. To solve these problems, we present a national scale semantic publishing system HealthFinland which consists of a 1) a centralized content infrastructure of health ontologies and services with tools, 2) a distributed semantic content creation channel based on several health organizations, and 3) an intelligent semantic portal aggregating and presenting the contents from intuitive and health promoting end-user perspectives for human users as well as for other websites and portals.

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Section: The Healthfinland Approachmentioning

confidence: 99%

Section: Content Production Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

HealthFinland—A national semantic publishing network and portal for health information

Suominen

Hyvönen

Viljanen

et al. 2009

Journal of Web Semantics

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“…3 However, people searching for information related to health and nutrition on the Internet face many challenges, as described in Ref. 4. According to Ref.…”

Section: Introductionmentioning

confidence: 99%

Framework for Automatic Semantic Annotation of Arabic Websites

Helmy

Albukhitan

2016

Int. J. Coop. Info. Syst.

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In order to achieve the vision of the semantic Web, it is important to have enough amount of semantic content on the Web sources. To produce the semantic content on the existing Web, semantic annotation of the Web sources is required. Semantic annotation adds machine-readable content to the Web sources. Because the Web is growing at an exponential rate, semantic annotation by hand is not possible. In this paper, we present an Automatic Semantic Annotation Framework (ASAF) for semantic annotation of Arabic Web sources based on the domain ontologies. We present a learning approach that utilizes public Arabic resources, such as Wikipedia and WordNet for building Arabic ontologies. Moreover, we present different approaches for extracting name entities and relationships from Arabic Web sources. As a case study, we have developed and expanded a set of Arabic ontologies related to food, health, and nutrition through a set of processes. We have also developed the ASAF prototype, and showed how it can utilize these ontologies for extracting health, food related name entities, and relationships from the Web sources in order to annotate and store them in the knowledge-base. We conducted several experiments to test the capability of ASAF in recognizing the name entities and relationships using different approaches. Empirical evaluations of ASAF show promising performance results in terms of precision, recall, and F -measure. The outcome of the presented framework could be utilized by semantic Web searching applications to retrieve precise answers to the end user smarter queries. An important feature of ASAF is that it could be ported to other domains with minimal extension. ASAF also contributes to the vision of the semantic Web in the target domains in Arabic Web sources.

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Building a National Semantic Web Ontology and Ontology Service Infrastructure –The FinnONTO Approach

Hyvönen

Viljanen

Tuominen

et al.

Lecture Notes in Computer Science

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This paper presents the vision and results of creating a national level cross-domain ontology and ontology service infrastructure in Finland. The novelty of the infrastructure is based on two ideas. First, a system of open source core ontologies is being developed by transforming thesauri into mutually aligned lightweight ontologies, including a large top ontology that is extended by various domain specific ontologies. Second, the ONKI Ontology Server framework for publishing ontologies as ready to use services has been designed and implemented. ONKI provides legacy and other applications with ready to use functionalities for using ontologies on the HTML level by Ajax and semantic widgets. The idea is to use ONKI for creating mash-up applications in a way analogous to using Google or Yahoo Maps, but in our case external applications are mashed-up with ontology support.

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HealthFinland —Finnish Health Information on the Semantic Web

Cited by 17 publications

References 14 publications

HealthFinland—A national semantic publishing network and portal for health information

HealthFinland—A national semantic publishing network and portal for health information

Framework for Automatic Semantic Annotation of Arabic Websites

Building a National Semantic Web Ontology and Ontology Service Infrastructure –The FinnONTO Approach

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