Videos tagged with Semantic Web
Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of tha...
In-Use 2: Semantic Desktop 2.0: The Gnowsis Experience
Lecture slides: Semantic Desktop 2.0 The Gnowsis Experience Personal Information Management PIM Questions Semantic Web chicken-egg problem Semantic Applications RDF Database Representing the data in the database Question Personal Information Model basic superclasses Example from the PIMO Question Data-flow between services Question PIMO editor Application plugins, mini-applications, mashups GUI...
Semantic web technology Roadmap
Lecture slides: Semantic Web Technology RoadMap: the case of KWTR in the KW NoE The O2I purposes of the KW NoE Aims of semantic web technology roadmap (KWTR): Analysis of some current and future trends on semantic web theories and methods, tools and applications, Analysis of general organizational needs ( A multi-organizational technology roadmap KWTRM structure KWTR activities promote a discus...
Semantic text features from small world graphs
We present a set of methods for creating a semantic representation from a collection of textual documents. Given a document collection we use a simple algorithm to connect the documents into a tree or a graph. Using the imposed topology we define a feature and document similarity measures. We use the kernel alignment to compare the quality of various similarity measures. Results show that the d...
Context Sensitivity in Knowledge Rich Systems
The main goal of this tutorial is to provide an extensive survey of the past and current work in the area of context related topics. This includes analysis of the past work: defining the notion of “context”, present logic-based formalisms for dealing with contexts, present probabilistic/fuzzy approaches to model context, demonstrate “modelling the context” and “rea...
The Semantic Web: Suppliers and Customers
The notion of the Semantic Web can be coined as a Web of data when bringing database content to the Web or as a Web of enriched human-readable content when encoding the semantics of web-resources in a machine-interpretable form. It has been clear from the beginning that realizing the Semantic Web vision will require interdisciplinary research. At this the fifth ISWC, it is time to re-examine th...
Universal Access to Human Knowledge (Or Public Access to Digital Materials)
The goal of universal access to our cultural heritage is within our grasp. With current digital technology we can build comprehensive collections, and with digital networks we can make these available to students and scholars all over the world. The current challenge is establishing the roles, rights, and responsibilities of our libraries and archives in providing public access to this informat...
Semantic Overlay Networks for P2P Web Search
Lecture slides: Semantic Semantic Overlay Networks Previous work in Web related P2P content networks - Challenges Semantic Overlay Networks for Search Outline DESENT - Preliminary Preliminary Concepts Phase 1: Local Clustering Phase 2: Initiator Selection Phase 3: Zone Creation Phase 4: Intra-zone Clustering Phase 5: Inter-zone Clustering Final Organization Searching in DESENT Basic Simulation ...
Semantic Web Service Systems - Part 1
The proposed tutorial presents the Web Service Execution Environment WSMX and the Internet Reasoning Server IRS as an integrated environment for development and execution of Semantic Web Services on basis of the Web Service Modeling Ontology WSMO. Author: Liliana Cabral, Knowledge Media Institute (Kmi), The Open University, Milton Keynes
Learning to Distinguish Valid Textual Entailments
This paper proposes a new architecture for textual inference in which finding a good alignment is separated from evaluating entailment. Current approaches to semantic inference in question answering and textual entailment have approximated the entailment problem as that of computing the best alignment of the hypothesis to the text, using a locally decomposable matching score. While this formula...