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3,557
Probabilistic Roadmaps for Path Planning in High-Dimensional Configuration Spaces
- IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION
, 1996
"... A new motion planning method for robots in static workspaces is presented. This method proceeds in two phases: a learning phase and a query phase. In the learning phase, a probabilistic roadmap is constructed and stored as a graph whose nodes correspond to collision-free configurations and whose edg ..."
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Cited by 1276 (124 self)
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to be relatively easy to choose, Increased efficiency can also be achieved by tailoring some components of the method (e.g., the local planner) to the considered robots. In this paper the method is applied to planar articulated robots with many degrees of freedom. Experimental results show that path planning can
DBpedia: A Nucleus for a Web of Open Data
- Proc. 6th Int’l Semantic Web Conf
, 2007
"... Abstract DBpedia is a community effort to extract structured informa-tion from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the ..."
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Cited by 619 (36 self)
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Abstract DBpedia is a community effort to extract structured informa-tion from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human- and machine-consumption. We describe some emerging applications from the DBpedia community and show how website authors can facilitate DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data. 1
Entity Disambiguation with Freebase
"... Abstract—Entity disambiguation with a knowledge base becomes increasingly popular in the NLP community. In this paper, we employ Freebase as the knowledge base, which contains significantly more entities than Wikipedia and others. While huge in size, Freebase lacks context for most entities, such as ..."
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Cited by 4 (0 self)
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Abstract—Entity disambiguation with a knowledge base becomes increasingly popular in the NLP community. In this paper, we employ Freebase as the knowledge base, which contains significantly more entities than Wikipedia and others. While huge in size, Freebase lacks context for most entities
mapping approaches with Metamap and Freebase
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Distant supervision for relation extraction without labeled data
"... Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that does not require labeled corpora, avoiding the domain dependence of ACEstyle algorithms, and allowing the use of corpora ..."
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Cited by 221 (3 self)
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of any size. Our experiments use Freebase, a large semantic database of several thousand relations, to provide distant supervision. For each pair of entities that appears in some Freebase relation, we find all sentences containing those entities in a large unlabeled corpus and extract textual features
DBpedia -- A Crystallization Point for the Web of Data
, 2009
"... The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier ..."
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Cited by 363 (36 self)
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The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains such as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.
Distant Supervised Relation Extraction with Wikipedia and Freebase
"... In this paper we discuss a new approach to extract relational data from unstructured text without the need of hand labeled data. So-called distant supervision has the advantage that it scales large amounts of web data and therefore fulfills the requirement of current information extraction tasks. As ..."
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. As opposed to supervised machine learning we train generic, relation- and domain-independent extractors on the basis of data base entries. We use Freebase as a source of relational data and a Wikipedia corpus tagged with unsupervised word classes. In contrast to previous work in the field of distant
Lean Question Answering over Freebase from Scratch
"... For the task of question answering (QA) over Freebase on the WEBQUESTIONS dataset (Berant et al., 2013), we found that 85 % of all questions (in the training set) can be directly answered via a single binary relation. Thus we turned this task into slot-filling for <question topic, relation, answe ..."
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For the task of question answering (QA) over Freebase on the WEBQUESTIONS dataset (Berant et al., 2013), we found that 85 % of all questions (in the training set) can be directly answered via a single binary relation. Thus we turned this task into slot-filling for <question topic, relation
Interactively Querying and Updating Freebase with Web Tables
"... Recently there have been a growing number of large general purpose databases, such as Freebase(Bollacker et al. 2008), Wikipedia, and DbPedia(Auer et al. 2007), which have been enabling many new applications. 1 These data sources rely ..."
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Recently there have been a growing number of large general purpose databases, such as Freebase(Bollacker et al. 2008), Wikipedia, and DbPedia(Auer et al. 2007), which have been enabling many new applications. 1 These data sources rely
Results 1 - 10
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3,557