Tag Mediated Society with SCOT Ontology (original) (raw)

int. ere. st: building a tag sharing service with the SCOT ontology

2008

Although a number of people have participated in tagging activity on many Web 2.0 sites and the sites allow users to get their tagging data through Mash-up APIs, there are many issues (e.g. tag semantics) associated with social tagging or folksonomies. Many studies have focused on semantics of a tag that offers a way of exact meaning of an individual tag or among the tags. Surprisingly, there has been minimal research regarding tag sharing or exchange. We suggest a semantic model, is called the 'SCOT (Semantic Social Cloud of Tags)', to represent the structure and the semantics of tagging data. We also discuss social tagging processes in order to provide semantic interoperability of tagging data among diverse sources. The int.ere.st web site aims to allow users to search and bookmark their social tagging data and to help the sharing and exchange of tagging data among people or heterogenous sources. We give an overview of int.ere.st with the social tagging processes and describe specific algorithms to support the processes.

Social Semantic Cloud of Tag: Semantic Model for Social Tagging

2008

Tagging has proven to be a successful and efficient way for creating metadata through a human collective intelligence. It can be considered not only an application of individuals for expressing one’s interests, but also as a starting point for leveraging social connections through collaborative user participations. A number of users have contributed to tag resources in web sites such as Del.icio.us, Flickr etc. However, there is no uniform structure to describe tags and user’s activities. This makes difficult to share and represent tag data among people. The SCOT (Social Semantic Cloud of Tags) ontology is aimed to represent the structure and semantics of a set of tags and promotes their global sharing. The paper introduce the SCOT ontology and methods of its representation.

Metadata Creation in Socio-semantic Tagging Systems: Towards Holistic Knowledge Creation and Interchange

Fuzzzy.com, a social bookmarking website has been developed to study collaborative creation of semantics. In a shared online space, users of Fuzzzy continuously create metadata bottom-up by categorizing (tagging) favourite hyperlinks (bookmarks). The semantic network of tags created by users evolves into a people's fuzzy common ontology ("folktology"). We discuss several social and cognitive aspects of Topic Maps technology and scalability by analyzing the use of the system. We further argue that holistic knowledge creation and interchange is highly needed. Our results from Fuzzzy suggest that this can be realized by connecting distributed knowledge centric communities of dedicated users within specific domains.

Towards OpenTagging Platform using Semantic Web Technologies

Web 2.0, 2008

Many social media sites such as Del.icio.us, Flickr, or weblogs have recently become popular. This has led to adoption of tagging functions on traditional web sites at a steady pace. However, producing tagging data from these sites without supporting the social exchange involved can be regarded as an incomplete set of metadata. Although tagging captures our individual conceptual associations, the tagging system itself does not promote a social transmission that units both creators and consumers. To achieve social transmission environments for tagging, we need a formal conceptual model to represent the tagging activity and a service platform to encourage its exchange and interoperation.

Integrating Tagging into the Web of Data: Overview and Combination of Existing Tag Ontologies

Journal of Internet Technology, 2011

As the number of social websites offering tagging facilities increases, tagging has become not only a common basis for user participation, but also an important aspect of social content. Tagging is primarily based on the user's participation and interaction, including the sharing and the exchange of their interests. However, even though users can collect and share tagging data with conventional technologies, this data is fragmentary and remains disconnected. Therefore, discovering content across independent sites remains a challenge. On the other hand, technologies of the Web of Data, and especially ontologies, help towards this goal of integrating tagged data. In this paper, we investigate the core features of existing tag ontologies that attempt to represent a common conceptualization of tagging and that provide well-defined semantics for tagging data, allowing for the sharing and interlinking of tagging data across independent sites or communities.

folk2onto: Bridging the gap between social tags and ontologies

Proc. of the 1st …, 2008

Ontologies are a useful and attractive tool for classifying documents and, in general, all types of resources. In fact, if all the documents in the web were classified according to a set of standard ontologies, the job of search engines, automatic document processors, etc. would be much easier. However, ontologies are too complex to be used by the general public and, so far, are used only by specialized users. Nonetheless, a more informal type of classifying resources is becoming increasingly popular amongst the general public: social tagging or folksonomies. Many popular websites (del.icio.us, Flickr, Technorati . . .) allow users to participate by annotating web content using social tags. Although they provide an easy way to collaboratively create knowledge, these tags are difficult to machine-process. In this paper, we propose bridging the gap between folksonomies and ontologies so that that the information in social tagging systems will be made easier to process. To that effect, we present the design and implementation of a software application, folk2onto, that can be trained to map social tags into an ontology.

Combining Tags and the Semantic Web for Linked Tagging Data

2008

We describe an open tagging platform that aims to make tagging data open, more universal, and apply it across different tagging sites. We implement the web-based application -int.ere.st -to realize this goal. int.ere.st collects information related to tagging behaviors from Web 2.0 sites and offer direct access using Semantic Web technologies such as Linked Data. The application is available at http://int.ere.st/.

TagSorting: A Tagging Environment for Collaboratively Building Ontologies

Lecture Notes in Computer Science, 2010

Social Tagging Systems (STS) empower users to classify and organize resources and to improve the retrieval performance over the tagged resources. In this paper we argue that the potential of the social process of assigning, finding, and relating symbols in collaborative tagging scenarios is currently underexploited and can be increased by extending the meta-model and using this extension to support the emergence of structured knowledge, e.g. semantic knowledge representations. We propose a model that allows tagging as well as establishing relations between any pair of resources, not just objects and tags. Moreover, we propose to use this extension to enrich and facilitate the process of building semantic knowledge representations. We (1) provide a formal description for our approach, (2) introduce an architecture to facilitate semantic knowledge derivation, and (3) present a preliminary experiment.