Semantic Web Research Community Research Articles

15 Years of Semantic Web: An Incomplete Survey

It has been 15 years since the first publications proposed the use of ontologies as a basis for defining information semantics on the Web starting what today is known as the Semantic Web Research Community. This work undoubtedly had a significant influence on AI as a field and in particular the knowledge representation and Reasoning Community that quickly identified new challenges and opportunities in using Description Logics in a practical setting. In this survey article, we will try to give an overview of the developments the field has gone through in these 15 years. We will look at three different aspects: the evolution of Semantic Web Language Standards, the evolution of central topics in the Semantic Web Community and the evolution of the research methodology.

Semantic Web Portal in University Research Community Framework

One way overcome the weakness of semantic web to make it more user friendly is by displaying, browsing and semantically query data. In this research, we propose Semantic Web Research Community Portal at Faculty of Information Science and Technology – Universiti Kebangsaan Malaysia (FTSM RC) as the lightest platform of Semantic Web. This platform assists the users in managing the content and making visualization of relevant semantic data by applying meaningful periodically research. In such a way it will strengthen the research information related to research, publications, departments, organizations, events, and groups of researchers. Moreover, it will streamline the issuance process, making it easier for academic staff, support staff, and faculty itself to publish information of faculty and studies research information. By the end, this will provide end users with a better view of the structure of research at the university, allowing users to conduct cross-communication between faculty and study groups by using the search information.

The DOG gateway: enabling ontology-based intelligent domotic environments

This paper moves a first step towards the creation of Intelligent Domotic Environments (IDE) in real-life home-living. A new Domotic OSGi Gateway (DOG) is presented, able to manage different domotic networks as a single, technology neutral, home automation system. The adoption of a standard framework such as OSGi, and of sophisticated modeling techniques stemming from the Semantic Web research community, allows DOG to go beyond simple automation and to support reasoning-based intelligence inside home environments. By exploiting automatic device generalization, syntactic and semantic command validation, and internetwork scenario definition, DOG provides the building blocks for supporting the evolution of current, isolated, home automation plants into IDEs, where heterogeneous devices and domotic systems are coordinated to behave as a single, intelligent, proactive system. The paper introduces the DOG architecture and the underlying ontology modeling. A case study is also illustrated, where DOG controls a laboratory reconstruction of a simple domotic environment.

Semantic retrieval and ranking of Semantic Web documents using free-form queries

Recent advances in the Semantic Web research community actuated the experimentation with a variety of approaches concerning the retrieval of Semantic Web Documents (SWDs). Most approaches require that queries are formed in a structured and formal way. Given the inability of the majority of web users to express formal queries, this paper proposes an approach to SWDs' retrieval, aiming to support users to place queries, requiring no knowledge and skills for expressing these queries in a formal language. The paper discusses specific issues that are considered towards the retrieval of SWDs using free-form queries and presents an evaluated two-step approach.

Application of semantic technology for social network analysis in the sciences

The use of electronic data is steadily gaining ground in the study of the social organization of scientific and research communities, decreasing the researcher's reliance on commercial databases of bibliographic entries, patents grants and other manually constructed records of scientific works. In our work we provide a methodological innovation based on semantic technology for dealing with heterogeneity in electronic data sources. We demonstrate the use of our electronic system for data collection and aggregation through a study of the Semantic Web research community. Using methods of network analysis, we confirm the effect of Structural Holes and provide novel explanations of scientific performance based on cognitive diversity in social networks.

Flink: Semantic Web technology for the extraction and analysis of social networks

We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.

Flink: Semantic Web Technology for the Extraction and Analysis of Social Networks

We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF proles. The acquired knowledge is used for the purposes of social network analysis and for generating a webbased presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.

Dynamic invocation of semantic Web services that use unfamiliar ontologies

The semantic Web research community has developed ontologies and languages for semantically describing Web services. For example, OWL-S is an ontology developed using the OWL semantic Web description language. The purpose of OWL-S, formerly DAML-S, is to describe Web services so that software agents can read these descriptions and reason about how to interact with the services they describe. These efforts aim to facilitate interactions with services when the client agents lack built-in code for invoking those services' APIs&just as people can effectively use Web sites they've found through search engines. For example, without any reprogramming, a software system could have the flexibility to use various services that do the same kind of job but have different APIs. This can be useful in a number of situations, such as when a familiar service's API has changed or when the API is unavailable but a discovered new service could do the job. These semantic service descriptions also make it easier to compose services, by enabling reasoning about how to transform one service's outputs into another's inputs.