YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and
events are anchored in both time and space. YAGO2 is built automatically from Wikipedia …
events are anchored in both time and space. YAGO2 is built automatically from Wikipedia …
Fast top-k search in knowledge graphs
Given a graph query Q posed on a knowledge graph G, top-k graph querying is to find k
matches in G with the highest ranking score according to a ranking function. Fast top-k …
matches in G with the highest ranking score according to a ranking function. Fast top-k …
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search
Natural language question answering over knowledge graph has received widespread
attention. However, the existing methods always aim to improve every phase of natural …
attention. However, the existing methods always aim to improve every phase of natural …
Query relaxation for entity-relationship search
Entity-relationship-structured data is becoming more important on the Web. For example,
large knowledge bases have been automatically constructed by information extraction from …
large knowledge bases have been automatically constructed by information extraction from …
[PDF][PDF] Don't annotate, but validate: A data-to-text method for capturing event data
In this paper, we present a new method to obtain large volumes of high-quality text corpora
with event data for studying identity and reference relations. We report on the current …
with event data for studying identity and reference relations. We report on the current …
[PDF][PDF] Ten Years of Knowledge Harvesting: Lessons and Challenges.
This article is a retrospective on the theme of knowledge harvesting: automatically
constructing large highquality knowledge bases from Internet sources. We draw on our …
constructing large highquality knowledge bases from Internet sources. We draw on our …
Enhanced search engine using proposed framework and ranking algorithm based on semantic relations
Today, most users need search engines to facilitate search and information retrieval
processes. Unfortunately, traditional search engines have a significant challenge that they …
processes. Unfortunately, traditional search engines have a significant challenge that they …
A machine-learning approach to ranking RDF properties
In this paper we address the problem of providing an order of relevance, or ranking, among
entities' properties used in RDF datasets, Linked Data and SPARQL endpoints. We first …
entities' properties used in RDF datasets, Linked Data and SPARQL endpoints. We first …
Keyword search over RDF using document-centric information retrieval systems
For ordinary users, the task of accessing knowledge graphs through structured query
languages like SPARQL is rather demanding. As a result, various approaches exploit the …
languages like SPARQL is rather demanding. As a result, various approaches exploit the …
Keyword search over RDF: is a single perspective enough?
Since the task of accessing RDF datasets through structured query languages like SPARQL
is rather demanding for ordinary users, there are various approaches that attempt to exploit …
is rather demanding for ordinary users, there are various approaches that attempt to exploit …