Combining RDF Vocabularies for Expert Finding

نویسندگان

  • Boanerges Aleman-Meza
  • Uldis Bojars
  • Harold Boley
  • John G. Breslin
  • Malgorzata Mochól
  • Lyndon J. B. Nixon
  • Axel Polleres
  • Anna Fensel
چکیده

This paper presents a framework for the reuse and extension of existing, established vocabularies in the Semantic Web. Driven by the primary application of expert finding, we will explore the reuse of vocabularies that have attracted a considerable user community already (FOAF, SIOC, etc.) or are derived from de facto standards used in tools or industrial practice (such as vCard, iCal and Dublin Core). This focus guarantees direct applicability and low entry barriers, unlike when devising a new ontology from scratch. The Web is already populated with several vocabularies which complement each other (but also have considerable overlap) in that they cover a wide range of necessary features to adequately describe the expert finding domain. Little effort has been made so far to identify and compare existing approaches, and to devise best practices on how to use and extend various vocabularies conjointly. It is the goal of the recently started ExpertFinder initiative to fill this gap. In this paper we present the ExpertFinder framework for reuse and extension of existing vocabularies in the Semantic Web. We provide a practical analysis of overlaps and options for combined use and extensions of several existing vocabularies, as well as a proposal for applying rules and other enabling technologies to the expert finding task.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Finding spatial equivalences across multiple RDF datasets

The importance of geospatial information is being reflected on the growing amount of spatial datasets on the Semantic Web. However, the high variability of the data presents challenges for integration. In this paper, we address the problem of finding spatial equivalences between geospatial RDF datasets. First, we present mappings between our NeoGeo vocabulary and the vocabularies used by some w...

متن کامل

StdTrip: An a priori design process for publishing Linked Data∗

The Linked Data standard — which is based on the publication of data in the Web as RDF triples — is gaining increasing attention as a way to promote open data interoperability. The publication of data originally stored in relational databases as RDF is known as the RDB-to-RDF approach. The first step in this process requires the mapping of database concepts to RDF vocabularies, used as the base...

متن کامل

FAGI-tr: A Tool for Aligning Geospatial RDF Vocabularies

In this paper, we present FAGI-tr, a tool for aligning RDF vocabularies with respect to their geospatial aspect. The tool provides a framework for (a) loading a source and a target geospatial RDF dataset, (b) identifying vocabularies for representing geospatial RDF data, (c) selecting, from both datasets, the representations to be considered for processing, (d) selecting a target vocabulary and...

متن کامل

StdTrip: An a Priori Design Approach and Process for Publishing Open Government Data

Open Government Data (OGD) consists in the publication of public information data in formats that allow it to be shared, discovered, accessed and easily manipulated by those desiring the data. This approach requires the triplification of datasets, i.e., the conversion to RDF of database schemas and their instances. A key issue in this process is deciding how to represent database schema concept...

متن کامل

Neologism: Easy Vocabulary Publishing

Creating, documenting, publishing and maintaining an RDF Schema vocabulary is a complex, time-consuming task. This makes vocabulary maintainers reluctant to evolve their creations quickly in response to user feedback; it prevents use of RDF for casual, ad-hoc data publication about niche topics; it leads to poorly documented vocabularies, and contributes to poor compliance of vocabularies with ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007