587 Hits in 3.7 sec

Keyword-Driven SPARQL Query Generation Leveraging Background Knowledge

Saeedeh Shekarpour, Soren Auer, Axel-Cyrille Ngonga Ngomo, Daniel Gerber, Sebastian Hellmann, Claus Stadler
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
So as to simplify and automate the querying and retrieval of information from such sources, we present in this paper a novel approach for constructing SPARQL queries based on user-supplied keywords.  ...  SPARQL queries) to retrieve information from Linked Data sources.  ...  By tightly intertwining the keyword interpretation and query generation with the available background knowledge we are able to obtain results of relatively good quality.  ... 
doi:10.1109/wi-iat.2011.70 dblp:conf/webi/ShekarpourANGHS11 fatcat:nhxqogrlzjahvbl52tbsyinehq

Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces [chapter]

André Freitas, Seán O'Riáin, Edward Curry
2019 Real-time Linked Dataspaces  
This chapter investigates the main challenges in constructing query and search services for knowledge graphs within a linked dataspace.  ...  This chapter is structured as follows: Section 7.2 explores the difference between querying and searching knowledge graphs in a Real-time Linked Dataspace and details the high-level functionality needed  ...  The search engine Semplore [167] uses a hybrid query formalism that combines a keyword search with structured queries (i.e. a subset of SPARQL).  ... 
doi:10.1007/978-3-030-29665-0_7 fatcat:7qb2boh7njgvjiknknaaig5cou

Cone-KG: A Semantic Knowledge Graph with News Content and Social Context for Studying Covid-19 News Articles on Social Media

Feras Al-Obeidat, Oluwasegun Adedugbe, Anoud Bani Hani, Elhadj Benkhelifa, Munir Majdalawieh
2020 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)  
Beyond quick and efficient data query and analysis, they facilitate inference from data and generation of insights for several purposes.  ...  and semantically towards knowledge discovery, knowledge acquisition and advanced data analytics for understanding varying metrics relating to the virus towards curbing its spread.  ...  The SPARQL query is based on a keyword search; retrieving any article with COVID, Coronavirus or any other related keywords in its content.  ... 
doi:10.1109/snams52053.2020.9336541 fatcat:kpqbkibyxnfirj64sumii7j4em

SemaPlorer—Interactive semantic exploration of data and media based on a federated cloud infrastructure

Simon Schenk, Carsten Saathoff, Steffen Staab, Ansgar Scherp
2009 Journal of Web Semantics  
The interaction with the large data set is driven by the user. SemaPlorer leverages different semantic data sources such as DBpedia, GeoNames, WordNet, and personal FOAF files.  ...  The interaction with the large data set is driven by the user. SemaPlorer leverages different semantic data sources such as DBpedia, GeoNames, WordNet, and personal FOAF files.  ...  The interaction with the large data set is driven by the user and carried out by a faceted, blended browsing and querying.  ... 
doi:10.1016/j.websem.2009.09.006 fatcat:aspqmbhca5bhbl6gj3mdyxeg4e

SemaPlorer - Interactive Semantic Exploration of Data and Media Based on a Federated Cloud Infrastructure

Simon Schenk, Carsten Saathoff, Steffen Staab, Ansgar Scherp
2009 Social Science Research Network  
The interaction with the large data set is driven by the user. SemaPlorer leverages different semantic data sources such as DBpedia, GeoNames, WordNet, and personal FOAF files.  ...  Hence, SemaPlorer is flexible enough to leverage for exploration almost arbitrary additional data sources that might be added in the future.  ...  The SPARQL queries make use of the full expressiveness of SPARQL, including UNION, OP-TIONAL and various FILTER expressions.  ... 
doi:10.2139/ssrn.3199457 fatcat:2xtwldc2yfg63fbyam2t5lqk2i

Open-Domain Question Answering Framework Using Wikipedia [chapter]

Saleem Ameen, Hyunsuk Chung, Soyeon Caren Han, Byeong Ho Kang
2016 Lecture Notes in Computer Science  
This paper explores the feasibility of implementing a model for an open domain, automated question and answering framework that leverages Wikipedia's knowledgebase.  ...  Using DBPedia, an ontological database of Wikipedia's knowledge, we searched for the closest matching property that would produce an answer by applying standardised string matching algorithms including  ...  about the target entity. 3.2 Step 2: Keyword Generation -DBPedia and SPARQL.  ... 
doi:10.1007/978-3-319-50127-7_55 fatcat:hcnklhkow5gfdf4ts5ldvcylwq

Mitigating linked data quality issues in knowledge-intense information extraction methods

Albert Weichselbraun, Philipp Kuntschik
2017 Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics - WIMS '17  
with background knowledge from the Web.  ...  An industrial use case that aims at the automatic generation of image metadata from image descriptions illustrates the successful deployment of knowledge-intensive information extraction in real-world  ...  Figure 3 :o c a t i oFigure 4 : 34 Recognyze's linked data driven background knowledge acquisition process.tokens t i = {t 1 , ...t n } that are then used to generate name variants n 1 , ...n m .  ... 
doi:10.1145/3102254.3102272 dblp:conf/wims/WeichselbraunK17 fatcat:uxc3dzsf75cg7kqwhufvflhjl4

Systematic review of question answering over knowledge bases

Arnaldo Pereira, Alina Trifan, Rui Pedro Lopes, José Luís Oliveira
2021 IET Software  
Querying services require knowledge beyond the typical user's expertise, which is a critical issue in adopting semantic information solutions.  ...  Because question answering over knowledge bases (KBQAs) is a very active research topic, a comprehensive view of the field is essential.  ...  | BACKGROUND The purpose of QA systems is to allow users to create questions in NL without a formal query language.  ... 
doi:10.1049/sfw2.12028 fatcat:uuhsewdvsnal5hwua3lecfexqi

Semantic Restructuring of Natural Language Image Captions to Enhance Image Retrieval

Kraisak Kesorn, Stefan Poslad
2009 Journal of Multimedia  
A key feature is that the system can find indirectly relevant concepts in image captions and thus leverage these to represent the semantics of images at a higher level.  ...  (SPARQL) query.  ...  The Domain Ontology describes the vocabulary and background knowledge for the subject domain of images.  ... 
doi:10.4304/jmm.4.5.284-297 fatcat:glxxyblxlraklhwa5ribohkm3y

Semantically-Enriched Framework For Analysis And Design Of Dynamically Evolving Shop Floor Operations

2017 Zenodo  
Deployment and Configuration In general, once you query the system from the main dashboard, then you may get some results that match the researched keyword.  ...  SPARQL Web Service 5 The SPARQL Web service is used to send custom SPARQL queries against the OSF Web Service data structure. This is a general purpose querying Web service.  ...  Framework X X UC6.1 Provide informative analytics using advanced visual representation X X UC6.2 Provide optimum actions and instructions with personalized dynamic information X X X X X X X X UC6.3 Knowledge  ... 
doi:10.5281/zenodo.1078494 fatcat:cks7fbzgx5ef7p7hnjstknuy24

Automated discovery and integration of semantic urban data streams: The ACEIS middleware

Feng Gao, Muhammad Intizar Ali, Edward Curry, Alessandra Mileo
2017 Future generations computer systems  
data to gather knowledge that can be used to solve domain-specific problems.  ...  ACEIS not only automatically discovers and composes IoT streams in urban infrastructures for users' requirements expressed as complex event requests, but also automatically generates stream queries in  ...  Knowledge base The knowledge base stores the semantic annotations for the static description of event services as well as domain ontologies to use as background knowledge.  ... 
doi:10.1016/j.future.2017.03.002 fatcat:tfez3loxbjaxzl5fvqrponsyma

A comparative survey of recent natural language interfaces for databases

Katrin Affolter, Kurt Stockinger, Abraham Bernstein
2019 The VLDB journal  
Overall, we learned that keyword-based systems are enough to answer simple questions.  ...  We categorize the NLIs into four groups based on the methodology they are using: keyword-, pattern-, parsing-, and grammar-based NLI.  ...  For translating into SPARQL, Querix uses three components: query analyzer, matching center and query generator.  ... 
doi:10.1007/s00778-019-00567-8 fatcat:cprffdwdgvdflfyfobsirmqwgm

RadSem: Semantic Annotation and Retrieval for Medical Images [chapter]

Manuel Möller, Sven Regel, Michael Sintek
2009 Lecture Notes in Computer Science  
It leverages the MEDICO ontology which covers formal background information from various biomedical ontologies such as the Foundational Model of Anatomy (FMA), terminologies like ICD-10 and RadLex and  ...  Furthermore, the extracted metadata is linked together with anatomical annotations and clinical findings to generate a unified view of a patient's medical history. (3) On the search side we perform query  ...  We have described our approach for formalizing the structure of the ICD-10 in OWL and presented several augmentations and mappings for FMA with further medical knowledge (e. g., about tissue types) and  ... 
doi:10.1007/978-3-642-02121-3_6 fatcat:kekgdnxw2nfx5epydpl62u7kcq

Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs [article]

Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding
2021 arXiv   pre-print
Since knowledge graphs can be viewed as the discrete symbolic representations of knowledge, reasoning on knowledge graphs can naturally leverage the symbolic techniques.  ...  We survey two specific reasoning tasks, knowledge graph completion and question answering on knowledge graphs, and explain them in a unified reasoning framework.  ...  BACKGROUND KNOWLEDGE AND PROB-LEM DEFINITION In this section, we first introduce the background information about knowledge graph, inductive logic programming, and Markov network, and then give the definition  ... 
arXiv:2010.05446v5 fatcat:tc6fowebkzbv7df3cjyhkcu6uq

linkedISA: semantic representation of ISA-Tab experimental metadata

Alejandra González-Beltrán, Eamonn Maguire, Susanna-Assunta Sansone, Philippe Rocca-Serra
2014 BMC Bioinformatics  
We describe insights of the implementation and how annotations can be expanded driven by the metadata.  ...  Reasoning over ISA-Tab metadata and associated data will facilitate data integration and knowledge discovery.  ...  Queries over the linkedISA representation The SPARQL Protocol And RDF Query Language (SPARQL) is the recommended query language for RDF data in the Web or in a triple store [32] .  ... 
doi:10.1186/1471-2105-15-s14-s4 pmid:25472428 pmcid:PMC4255742 fatcat:3tpqrjmvp5hgpafasevv33rx2q
« Previous Showing results 1 — 15 out of 587 results