Early Steps Towards Web Scale Information Extraction with LODIE
نویسندگان
چکیده
منابع مشابه
Early Steps Towards Web Scale Information Extraction with LODIE
SPRING 2015 55 Extracting information from a gigantic data source such as the web has been considered a major research challenge, and over the years many different approaches (Etzioni et al. 2004; Banko et al. 2007; Carlson et al. 2010; Freedman and Ramshaw 2011; Nakashole, Theobald, and Weikum 2011) have been proposed. Nevertheless, the current state of the art has mainly addressed tasks for w...
متن کاملWeb Scale Information Extraction with LODIE
Information Extraction (IE) is the technique for transforming unstructured textual data into structured representation that can be understood by machines. The exponential growth of the Web generates an exceptional quantity of data for which automatic knowledge capture is essential. This work describes the methodology for Web scale Information Extraction adopted by the LODIE project (Linked Open...
متن کاملLODIE: Linked Open Data for Web-scale Information Extraction
This work analyzes research gaps and challenges for Web-scale Information Extraction and foresees the usage of Linked Open Data as a groundbreaking solution for the field. The paper presents a novel methodology for Web scale Information Extraction which will be the core of the LODIE project (Linked Open Data Information Extraction). LODIE aims to develop Information Extraction techniques able t...
متن کاملUser driven Information Extraction with LODIE
Information Extraction (IE) is the technique for transforming unstructured or semi-structured data into structured representation that can be understood by machines. In this paper we use a user-driven Information Extraction technique to wrap entity-centric Web pages. The user can select concepts and properties of interest from available Linked Data. Given a number of websites containing pages a...
متن کاملTowards Semantic Web Information Extraction
The approach towards Semantic Web Information Extraction (IE) presented here is implemented in KIM – a platform for semantic indexing, annotation, and retrieval. It combines IE based on the mature text engineering platform (GATE1) with Semantic Web-compliant knowledge representation and management. The cornerstone is automatic generation of named-entity (NE) annotations with class and instance ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: AI Magazine
سال: 2015
ISSN: 2371-9621,0738-4602
DOI: 10.1609/aimag.v36i1.2567