Linking Domain-Specific Knowledge to Encyclopedic Knowledge: an Initial Approach to Linked Data

نویسندگان

  • Pilar León Araúz
  • Pamela Faber
  • Pedro J. Magaña Redondo
چکیده

Linked Data creates a shared information space by publishing and connecting resources in the Semantic Web. However, the specification of semantic relationships between data sources is still a stumbling block. One solution is to enrich ontologies with multilingual and concept-oriented information. Usefully linking entities in the Semantic Web is thus facilitated by a semantic-oriented cross-lingual ontology mapping framework in which knowledge representations are not restricted to a particular natural language. Accordingly, this paper describes a preliminary approach for integrating general encyclopedic knowledge in DBpedia with EcoLexicon, a multilingual terminological knowledge base on the environment.

برای دانلود رایگان 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

Context-enhanced Adaptive Entity Linking

More and more knowledge bases are publicly available as linked data. Since these knowledge bases contain structured descriptions of real-world entities, they can be exploited by entity linking systems that anchor entity mentions from text to the most relevant resources describing those entities. In this paper, we investigate adaptation of the entity linking task using contextual knowledge. The ...

متن کامل

Aemoo: Linked Data exploration based on Knowledge Patterns

This paper presents a novel approach to Linked Data exploration that uses Encyclopedic Knowledge Patterns (EKPs) as relevance criteria for selecting, organising, and visualising knowledge. EKP are discovered by mining the linking structure of Wikipedia and evaluated by means of a user-based study, which shows that they are cognitively sound as models for building entity summarisations. We imple...

متن کامل

Entity Linking in Web Tables with Multiple Linked Knowledge Bases

The World-Wide Web contains a large scale of valuable relational data, which are embedded in HTML tables (i.e. Web tables). To extract machine-readable knowledge from Web tables, some work tries to annotate the contents of Web tables as RDF triples. One critical step of the annotation is entity linking (EL), which aims to map the string mentions in table cells to their referent entities in a kn...

متن کامل

Semantics-based Summarization of Entities in Knowledge Graphs

Gunaratna, Kalpa. PhD, Department of Computer Science and Engineering, Wright State University, 2017. Semantics-based Summarization of Entities in Knowledge Graphs. The processing of structured and semi-structured content on the Web has been gaining attention with the rapid progress in the Linking Open Data project and the development of commercial knowledge graphs. Knowledge graphs capture dom...

متن کامل

Topic-Driven Multi-Document Summarization with Encyclopedic Knowledge and Spreading Activation

Information of interest to users is often distributed over a set of documents. Users can specify their request for information as a query/topic – a set of one or more sentences or questions. Producing a good summary of the relevant information relies on understanding the query and linking it with the associated set of documents. To “understand” the query we expand it using encyclopedic knowledg...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011