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Semantic Web and Social Web heading towards Living Documents
- in the Life Sciences ” Web Semantics: Science, Services and Agents on the World Wide Webb 8
, 2010
"... Rather than a document that is constantly being written as in the wiki approach, the Living Document (LD) is a document that also acts as a document router, operating by means of structured and organized social tagging and using existing ontologies. It offers an environment where users can manage pa ..."
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Rather than a document that is constantly being written as in the wiki approach, the Living Document (LD) is a document that also acts as a document router, operating by means of structured and organized social tagging and using existing ontologies. It offers an environment where users can manage papers and related information, share their knowledge with their peers and discover hidden associations among the shared knowledge. The LD builds upon both the Semantic Web, which values the integration of well-structured data, and the Social Web, which aims to facilitate interaction amongst people by means of user-generated content. In this vein, the LD is similar to a social networking system, with users as central nodes in the network, with the difference that interaction is focused on papers rather than people. Papers, with their ability to represent research interests, expertise, affiliations, and links to web based tools and databanks, are the central axis for interaction amongst users. To support this, we have also implemented a novel web prototype that enables researchers to accomplish three activities central to the Semantic Web vision: organizing, sharing and discovering. Availability:
F.: A web 3.0 approach for improving tagging systems
- In: Proceedings of the International Workshop on Web 3.0: Merging Semantic Web and Social Web (in conjunction with the 20th International Conference on Hypertext and Hypermedia 2009). Volume 467
, 2009
"... In Web 2.0 systems tagging has become one of the most pop-ular techniques to allow users (and entire user communities) to categorize content autonomously. But, current tagging systems have their flipsides, though: synonyms and poly-sems lead to littered tag spaces making it difficult for users to fi ..."
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In Web 2.0 systems tagging has become one of the most pop-ular techniques to allow users (and entire user communities) to categorize content autonomously. But, current tagging systems have their flipsides, though: synonyms and poly-sems lead to littered tag spaces making it difficult for users to find relevant content. Users suffer from retrieving content actually not being of interest or, vice versa, from not retriev-ing content that actually would be of interest when explor-ing the tag space. Moreover, in current tagging systems no relations between tags are modeled. Thus, recommending related tags (or content) is not possible. In this paper we present an approach allowing users, i.e. the community, to collaboratively model relations between tags. We provide UI components allowing to model these relations which are then stored in a SKOS-based ontology which can be leveraged for content recommendations. Giving the com-munity the power to consolidate tags and to relate tags to each other and, at the same time, storing these relations in ontologies is our Web 3.0 approach to solve tag space litter-ing problems and to issue tag-based recommendations. The concepts presented are being prototypically implemented within IBM’s WebSphere Portal and can be presented in a live demo at the workshop.
1st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010) Towards a Multilingual Semantic Folksonomy
"... Abstract. The content of collaborative tagging systems (so-called folksonomies) is generated, consumed, and annotated by the end users. Users annotate and categorise their data using free-keywords, so-called tags. Consequently, several linguistic problems come to the surface in folksonomies such as; ..."
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Abstract. The content of collaborative tagging systems (so-called folksonomies) is generated, consumed, and annotated by the end users. Users annotate and categorise their data using free-keywords, so-called tags. Consequently, several linguistic problems come to the surface in folksonomies such as; synonyms, polysemy, multilinguality, and others which produce ambiguous and inconsistent classification of data. Therefore, relevant results are not retrieved in the user’s query. In this paper, we suggest a novel approach to enhance the “social vocabulary ” presented in folksonomies with the “controlled vocabulary ” presented in Semantic Web ontologies. Therefore, our proposed approach uses the online WordNet lexical ontology in addition to the EuroWordNet multilingual lexical resource. Our approach tries to employ the ontological relations presented in WordNet in the folksonomy, it focuses on the problems of synonyms, tag relations, and multilinguality.
Ontology-based Route Planning for OpenStreetMap
"... Abstract. We develop a web service for route finding in OpenStreetMap (OSM) following an activity-centred approach: the aim is not only to assist the user in travelling from A to B, but also to perform a series of specified activities along the way. This is particularly important e.g. for electric m ..."
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Abstract. We develop a web service for route finding in OpenStreetMap (OSM) following an activity-centred approach: the aim is not only to assist the user in travelling from A to B, but also to perform a series of specified activities along the way. This is particularly important e.g. for electric mobility, where activities can take place while the battery of the car is recharging. For specifying activities, our tool uses an ontology of spatially-located activities. This ontology then needs to be related to OSM which provides semantic metadata in form of tags. We organised the tags into another ontology (which is then connected to the first one via an ontology mapping), providing thus not only better reference for the OSM community, but also allowing to enrich the ontological semantics of the tags, to deal with their evolving nature and to extract implicit information using ontologybased data access. Moreover, we report first results on an ongoing query corpus experiment involving the OSM community targeted at improving the automated understanding of free text input for certain route finding tasks. 1
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"... The wide availability of technologies such as GPS, map services and social networks, has resulted in the proliferation of geospatial data on the Web. In addition to material produced by professionals (e.g., maps), the public has also been encouraged to make geospatial content, including their geogra ..."
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The wide availability of technologies such as GPS, map services and social networks, has resulted in the proliferation of geospatial data on the Web. In addition to material produced by professionals (e.g., maps), the public has also been encouraged to make geospatial content, including their geographical location, available online. The volume of such user-generated
Towards a Multilingual Semantic Folksonomy
"... Abstract. The content of collaborative tagging systems (so-called folksonomies) is generated, consumed, and annotated by the end users. Users annotate and categorise their data using free-keywords, so-called tags. Consequently, several linguistic problems come to the surface in folksonomies such as; ..."
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Abstract. The content of collaborative tagging systems (so-called folksonomies) is generated, consumed, and annotated by the end users. Users annotate and categorise their data using free-keywords, so-called tags. Consequently, several linguistic problems come to the surface in folksonomies such as; synonyms, polysemy, multilinguality, and others which produce ambiguous and inconsistent classification of data. Therefore, relevant results are not retrieved in the user’s query. In this paper, we suggest a novel approach to enhance the “social vocabulary ” presented in folksonomies with the “controlled vocabulary ” presented in Semantic Web ontologies. Therefore, our proposed approach uses the online WordNet lexical ontology in addition to the EuroWordNet multilingual lexical resource. Our approach tries to employ the ontological relations presented in WordNet in the folksonomy, it focuses on the problems of synonyms, tag relations, and multilinguality.
Personalized Recommender System Based on Item Taxonomy and Folksonomy
"... This is the author’s version of a work that was submitted/accepted for pub-lication in the following source: ..."
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This is the author’s version of a work that was submitted/accepted for pub-lication in the following source:
