Using Linked Data To Extract Geo-Knowledge

نویسندگان

  • Matheus Silva Mota
  • João Sávio C. Longo
  • Daniel Cintra Cugler
  • Claudia Bauzer Medeiros
چکیده

There are several approaches to extract geo-knowledge from documents and textual fields in databases. Most of them focus on detecting geographic evidence, from which the associated geographic location can be determined. This paper is based on a different premise – geo-knowledge can be extracted even from non-geographic evidence, taking advantage of the linked data paradigm. The paper gives an overview of our approach and presents two case studies to extract geo-knowledge from documents and databases in the biodiversity domain.

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

Enriching Top-down Geo-ontologies Using Bottom-up Knowledge Mined from Linked Data

Geo-ontologies provide formal specifications of geographic concepts, and can be embedded into geographic information systems to support automatic reasoning. Traditionally, geo-ontologies are developed through a top-down approach in which a group of experts collaboratively decide about the formalization. While such an approach captures valuable expert knowledge, the resulting geo-ontologies coul...

متن کامل

Extracting Urban Land Use from Linked Open Geospatial Data

The ever-increasing availability of linked open geospatial data provides an unprecedented source of geo-information to describe urban environments. This wealth of data should be turned into actionable knowledge: for example, open data could be used as a proxy or substitute for closed or expensive information. The successful employment of linked open geospatial data can pave the way for innovati...

متن کامل

A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs

Graphs have become ubiquitous structures to encode geographic knowledge online. The Semantic Web’s linked open data, folksonomies, wiki websites and open gazetteers can be seen as geo-knowledge graphs, that is labeled graphs whose vertices represent geographic concepts and whose edges encode the relations between concepts. To compute the semantic similarity of concepts in such structures, this ...

متن کامل

Enhancing the Process of Knowledge Discovery in Geographic Databases Using Geo-Ontologies

This chapter introduces the problem of mining frequent geographic patterns and spatial association rules from geographic databases. In the geographic domain most discovered patterns are trivial, non-novel, and noninteresting, which simply represent natural geographic associations intrinsic to geographic data. A large amount of natural geographic associations are explicitly represented in geogra...

متن کامل

Mining Geo-Referenced Databases: A Way to Improve Decision-Making

Knowledge discovery in databases is a process that aims at the discovery of associations within data sets. The analysis of geo-referenced data demands a particular approach in this process. This chapter presents a new approach to the process of knowledge discovery, in which qualitative geographic identifiers give the positional aspects of geographic data. Those identifiers are manipulated using...

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 2011