Notes:
SPARQL (pronounced “sparkle”) is a query language for retrieving and manipulating data stored in the Resource Description Framework (RDF) format. RDF is a standard for representing data on the web in a way that is machine-readable and that can be easily shared and linked with other data sources.
SPARQL is used to query RDF data stores and to extract, filter, and transform data from these stores. It is a powerful and flexible language that allows users to specify complex queries and to combine data from multiple sources in a single query.
In the context of chatbots, SPARQL could potentially be used to extract and manipulate data from RDF data stores in order to provide answers to user queries or to perform tasks on behalf of the user. For example, a chatbot might use SPARQL to query a data store of information about local restaurants and to extract and present relevant information to the user, such as the names, locations, and ratings of nearby restaurants.
It is important to note that SPARQL is just one of many different technologies and approaches that can be used to build chatbots, and it may not be the most suitable option for all chatbot applications. Whether or not SPARQL is a good fit for a particular chatbot project will depend on the specific requirements and needs of the chatbot, as well as the availability and accessibility of relevant data sources.
- AutoSPARQL is a tool for generating SPARQL queries automatically from natural language input. SPARQL is a query language for retrieving and manipulating data stored in the Resource Description Framework (RDF) format, and AutoSPARQL is designed to allow users to create SPARQL queries using natural language rather than having to write the queries manually using the SPARQL syntax.
- SPARQL2NL, on the other hand, is a tool or algorithm that is used to translate SPARQL queries into natural language. SPARQL2NL is designed to allow users to more easily understand and interpret the results of SPARQL queries by presenting the results in a form that is more human-readable and understandable. This can be useful in a variety of contexts, such as when presenting query results to non-technical users or when using SPARQL queries as part of a natural language processing system.
Resources:
- lider-project.eu .. linguistic linked data in content analytics processes
- nldb .. international conference on applications of natural language to information systems
- qald.sebastianwalter.org .. question answering over linked data
Wikipedia:
References:
- Named Entities for Computational Linguistics (2016)
- Qanary – the Fast Track to Creating a Question Answering System with Linked Data Technology (2016)
- Advanced Applications of Natural Language Processing for Performing Information Extraction (2015)
- Semantic Interpretation of User Queries for Question Answering on Interlinked Data (2015)
See also:
Enhancing Community Interactions with Data-Driven Chatbots–The DBpedia Chatbot
RG Athreya, AC Ngonga Ngomo… – Companion of the The Web …, 2018 – dl.acm.org
… ex- perts [1]. Recent approaches have also considered tackling the combination of RDF and chatbots, eg, [2 … such as “Is DBpedia down right now?” additional steps are carried out by the DBpedia Chatbot to check whether the DBpedia website and SPARQL endpoint are …
Chatbol, a chatbot for the Spanish “La Liga”
C Segura, A Palau, J Luque, M Costa-jussa, R Banchs – 2018 – oar.a-star.edu.sg
… During all these years, chatbots have been approached from different perspectives which mainly include rule-based [24] or data-driven which are retrieval-based [17, 2] or generative … Sparql endpoint interface to python … Moocbuddy: a chatbot for personalized learning with moocs …
A Semantic Based Multi-Platform IoT Integration Approach from Sensors to Chatbots
C El Kaed, A Ponnouradjane… – 2018 Global Internet of …, 2018 – ieeexplore.ieee.org
… Approach from Sensors to Chatbots … FOrT´E then aggregates and returns the results in a standard SPARQL response format … E. Butlor: A Chatbot Application Applications consume the generated data and create value since they represent the link between the customer and/or …
Intent Generation for Goal-Oriented Dialogue Systems based on Schema. org Annotations
U ?im?ek, D Fensel – arXiv preprint arXiv:1807.01292, 2018 – arxiv.org
… In Proceedings of First International Workshop on Chatbot in conjunction with ICWSM 2018 (IWC … Unlike more conversation oriented, human-human interaction mim- icking chatbots, goal-oriented dialogue systems … the members of the set M. Figure 2 shows the SPARQL query to …
KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning
M Singh, P Agarwal, A Chaudhary… – 2018 IEEE 34th …, 2018 – ieeexplore.ieee.org
… The NADIA natural dialogue system [14] (note that this prior work has no relation to ours … [1] proposed deep reinforcement learning based chatbot MILABOT which … Knowledge graphs are usually queried by expressing the user’s intent using SPARQL (standard query language for …
State-of-the-Art Approaches for German Language Chat-Bot Development
N Boisgard – 2018 – ec.tuwien.ac.at
… Figure 1.2: The number of publications containing the terms “chatbot”, “chatterbot”, “chat-bot” or “chat bot … 2.1: A list of the terms proposed as synonymous to the term “chat-bot” in the … as in lieu with the classification used in [Jurafsky and Martin, 2017a], chat-bots being merely chit …
Building an ecosystem for the tyrolean tourism knowledge graph
E Kärle, U ?im?ek, O Panasiuk, D Fensel – International Conference on …, 2018 – Springer
… knowledge graph consolidates these annotations and enables intelligent applications like chatbots to contribute … service to discover requested information from the knowledge graph through SPARQL queries. The result is a fully functional chatbot-like assistant system on top of …
Reasoning with Textual Queries: A Case of Medical Text
D Juric, G Stoilos, S Wartak, M Khodadadi – ceur-ws.org
… 1 Introduction Text understanding and reasoning is at the heart of modern chatbots … Babylon Health offers a chatbot which users can use to check their symptoms … Hence, some extended DL inference functionality had to be simulated on top of GraphDB using SPARQL …
Can children teach AI? Towards expressive human-AI dialogs
E Demidova – pdfs.semanticscholar.org
… where a 10-year old end user talks to the newly acquired Amazon Alexa dialog system … In this paper we in particular consider dialog systems that rely on know- ledge graphs … 2017) 4. Zafar, H., Dubey, M., Lehmann, J., Demidova, E.: IQA: Interactive SPARQL Query Construction …
Demoing platypus–A multilingual question answering platform for wikidata
TP Tanon, MD de Assuncao, E Caron… – European Semantic Web …, 2018 – Springer
… The demo interface shows the grammatical analysis of the question, the logical representation, the SPARQL query, as well as the … Google Scholar. 4. Athreya, RG, Ngomo, ACN, Usbeck, R.: Enhancing community interactions with data-driven chatbots – the DBpedia chatbot …
Conversational Assistant for an Accessible Smart Home: Proof-of-Concept for Portuguese
M Ketsmur, A Teixeira, N Almeida, S Silva… – Proceedings of the 8th …, 2018 – dl.acm.org
… This is a noticeable shortcoming as chatbots aim to identify the user’s intention independently of the … IBM Watson allows to perform NLP and chatbot develop- ment … Second step: The Question Answering module, aims to construct SPARQL queries using obtained data from the …
Performance of Generating Dialogs from Ontology and Context
MA Ababneh, M Qasaimeh… – 2018 IEEE/ACS 15th …, 2018 – ieeexplore.ieee.org
… In the rest of this paper we introduce the ontology-based dialog system in Section II and discuss performance concerns … 2) University of Berlin’s BSBM The Berlin SPARQL Benchmark (BSBM) defines a suite of benchmarks for comparing the performance of these systems across …
Toward An Arabic Question Answering System Over Linked Data
A Bouziane, D Bouchiha, N Doumi, M Malki – researchgate.net
… Finally, our system provides an answer to the user question by running a final appropriate SPARQL query … In [42], the author describes a way to access Arabic Web Question Answering (QA) corpus using a chatbot (ALICE open-source chatbot initiative) …
Enabling conversational tourism assistants through schema. org mapping
O Panasiuk, Z Akbar, U ?im?ek, D Fensel – European Semantic Web …, 2018 – Springer
… was developed to discover required information from the KB through SPARQL query language … al.: Integrating location, visibility, and question-answering in a spoken dialogue system for pedestrian … Flexible and open goal-oriented dialogue systems for accessing touristic services …
From Linguistic Linked Open Data to Multimodal Natural Interaction: A Case Study
M Grazioso, V Cera, M Di Maro… – 2018 22nd …, 2018 – ieeexplore.ieee.org
… Such data will be used in Multimodal Dialogue Systems to obtain precise information about Architectural … Members of the SPARQL family are considered as relational query languages because they have … to be adopted in the design of a Mul- timodal Dialogue System, where a …
Enabling Conversational Tourism Assistants Through Schema. org Mapping
ATS org Mapping – The Semantic Web: ESWC 2018 Satellite …, 2018 – books.google.com
… information from the KB through SPARQL query language,(iv) for schema, we use a subset … et al.: Integrating location, visibility, and question-answering in a spoken dialogue system for pedestrian … Flexible and open goal-oriented dialogue systems for accessing touristic services …
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems
R Goel, S Paul, T Chung, J Lecomte, A Mandal… – arXiv preprint arXiv …, 2018 – arxiv.org
… Furthermore, backend APIs used to accompish user’s goals require such discrete input, for example, SQL or SPARQL queries … 2018. Overview of the sixth dialog system technology challenge: Dstc6 … Partially observable markov decision processes for spoken dialog systems …
Leolani: a reference machine with a theory of mind for social communication
P Vossen, S Baez, L Bajc?eti?… – … Conference on Text …, 2018 – Springer
… The same can be said about multimodal dialogue systems [26], and more recently, around chatbot systems using neural networks [20] … Incoming statements are stored in the brain, while questions are mapped to SPARQL queries to the brain …
Interaction Capabilities of a Robotic Receptionist
C Nuccio, A Augello, S Gaglio, G Pilato – International Conference on …, 2018 – Springer
… The keyword “Knowledge Representation” is sent to a Python Web Service to find an answer in the ontology by means of the function \(call(Sparql.whatIs(\$key))\) … Pilato, G., Augello, A., Vassallo, G., Gaglio, S.: Sub-symbolic semantic layer in cyc for intuitive chat-bots …
Alana v2: Entertaining and Informative Open-domain Social Dialogue using Ontologies and Entity Linking
AC Curry, I Papaioannou, A Suglia, S Agarwal… – m.media-amazon.com
… As such, our social chatbot was designed to have the following behaviour … Sometimes for a given surface form there are multiple candidate entities 5http://dbpedia.org/sparql … Concept Generator An engaging conversation with a user can be obtained if the dialogue system is able …
Facetize: An Interactive Tool for Cleaning and Transforming Datasets for Facilitating Exploratory Search
A Kokolaki, Y Tzitzikas – arXiv preprint arXiv:1812.10734, 2018 – arxiv.org
… geographic information [8]. Applications of the model in the context of spoken dialogue systems are also … static files (represented in various formats) or results produced by querying SPARQL endpoints … Ld-sds: Towards an expressive spoken dialogue system based on linked-data …
An Approach For Instant Conversion of Sensory Data of a Simulated Sensor of a Mobile Robot into Semantic Information
NTM Saeed, M Fathi, KD Kuhnert – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… [8] present an approach based on OWL-DL ontologies and the SPARQL for interaction … presents an approach for collecting RDF statements, the collected statements are used for a semantic knowledge base which is the basic building block needed for a dialog system in a …
Analysis of Schema. org Usage in the Tourism Domain
BT Balc?, U ?im?ek, E Kärle, D Fensel – arXiv preprint arXiv:1802.05948, 2018 – arxiv.org
… schema.org vocabulary, in order to facilitate the publication of structured data on the web which can enable the implementation of automated agents like intelligent personal assis- tants and chatbots … SPARQL2 queries are run against the triple store for aggregation of the data …
Hybrid Search Approach for Retrieving Medical and Health Science Knowledge from Quran
MAM Safee, MM Saudi, SA Pitchay… – … of Engineering & …, 2018 – researchgate.net
… The Chatbot matches the important word from the search field and perform simple keyword based searching to find the relevant verses from Arabic … The hybrid search tool allows non-technical users to use the ontol- ogy without writing SPARQL queries, it will parse and analyze …
Alquist: The alexa prize socialbot
J Pichl, P Marek, J Konrád, M Matulík… – arXiv preprint arXiv …, 2018 – arxiv.org
… Eliza [2] is one of the most famous chat-bots from that era … Also, we use the new version of Label-lookup which eliminates additional SPARQL queries and speeds up the … [10] Williams, JD; Young, S. Partially observable Markov decision processes for spoken dialog systems …
A Linguistic Approach to Short Query and Answer Systems
DA de Araujo, AR Hentges, S Rigo – … of the XIV Brazilian Symposium on …, 2018 – dl.acm.org
… 1) identificação e verificação dos conceitos da ontologia, (2) geração da consulta SPARQL e (3 … em AIML para prova de conceito a partir do núcleo modificado do chatbot ALICE … A solução apresentada propõe-se a superar as principais restrições dos chatbots baseados em …
PRINTEPS: An Integrated Intelligent Application Development Platform based on Stream Reasoning and ROS
T Morita, K Nakamura, H Komatsushiro… – The Review of …, 2018 – Springer
… The spoken dialogue system is used for ordering in the robot teahouse … In the following sections, we explain the details of the image-sensing modules, the teahouse ontology, the business rules, event detection based on C-SPARQL, and workflows for the robot teahouse …
Spoken Dialogue for Information Navigation
A Papangelis, P Papadakos, Y Stylianou… – Proceedings of the 19th …, 2018 – aclweb.org
… focus on limited applications eg, information retrieval on small domains or shallow- understanding chat-bots … PFS over semantic views gathered from different data sources through SPARQL queries … Ld-sds: Towards an ex- pressive spoken dialogue system based on linked- data …
Supporting Digital Healthcare Services Using Semantic Web Technologies
G Barisevi?ius, M Coste, D Geleta, D Juric… – International Semantic …, 2018 – Springer
… can be used for symptom checking and triaging—that is, determining if the conditions that a user is entering in the chatbot are critical … It would not be possible for our end-users to interact with triple-stores and use SPARQL, hence abstraction layers, services, and browsers had to …
Web Engineering: 18th International Conference, ICWE 2018, Cáceres, Spain, June 5-8, 2018, Proceedings
T Mikkonen, R Klamma, J Hernández – 2018 – books.google.com
… Senellart Effective Crowdsourced Generation of Training Data for Chatbots Natural Language … 114 Rucha Bapat, Pavel Kucherbaev, and Alessandro Bozzon Chatbot Dimensions that … Semantic Web and Artificial Intelligence Selectivity Estimation for SPARQL Triple Patterns with …
A Context Aware Recommender System for Digital Storytelling
F Clarizia, F Colace, M Lombardi… – 2018 IEEE 32nd …, 2018 – ieeexplore.ieee.org
… Figure 2: Reference Framework of Chatbot … RDF), a specific language for the creation of ontologies (OWL), tools able to elaborate interference processes starting from an ontological model (Reasoners), a tool of query for the information retrieval (SPARQL Protocol and Rdf …
Measuring semantic coherence of a conversation
S Vakulenko, M de Rijke, M Cochez… – International Semantic …, 2018 – Springer
… Our top-k shortest paths algorithm implementation is available via a SPARQL endpoint 11 using the syntax shown in Fig. 2 … References. 1. Athreya, RG, Ngonga, A., Usbeck, R.: Enhancing community interactions with data-driven chatbots – the DBpedia chatbot …
Enhancing Profile and Context Aware Relevant Food Search through Knowledge Graphs
U Zulaika, A Gutiérrez, D López-de-Ipiña – … Digital Publishing Institute …, 2018 – mdpi.com
… The system, on one hand, enhances recommendation about miniature food with cognitive features, eg, a chat bot, sentiment analysis of … Table 1. Results for SPARQL query … option to receive a recommendation by clicking a button from the interface or asking the chatbot to give a …
Question Answering over Linked Data: A Feasibility Study
B Verfaillie – 2018 – lib.ugent.be
… Intuitive User Interfaces (UIs) are developed such that the user does not need to bother about SPARQL. A recently new player in the UI are chatbots. Definition 1.1 A chatbot is an intelligent agent, powered by rules and artificial intelligence to have conversations with a human …
Auto-completion for Question Answering Systems at Bloomberg
K Arkoudas, M Yahya – The 41st International ACM SIGIR Conference …, 2018 – dl.acm.org
… questions like the above to a logical meaning representation which can then be translated to an executable query language (such as SQL or SPARQL) … As the IR community has seen increasing interest in QA and chatbots, our adaption of AC to improve the usability of our QA …
An Approach for Modeling Spatial Prepositions with RDF Reification and Blank Nodes Based on the Environment Perception of a Simulated Mobile Robot
NTM Saeed, C Weber, M Fathi… – 2018 IEEE 61st …, 2018 – ieeexplore.ieee.org
… [7] present for the spatial planning for HRI, and Human-Computer Interaction, HCI, for flexible dialogue systems [8], are applicable. In the field of robotics, Prestes at al … A subset of abovementioned RDFs is queried with SPARQL and illustrated in a graph and shown in figure …
A Methodology for Extracting Knowledge about Controlled Vocabularies from Textual Data using FCA-Based Ontology Engineering
S Jabbari, K Stoffel – 2018 IEEE International Conference on …, 2018 – ieeexplore.ieee.org
… It has variety of applications which includes building chatbots and smart search engines. For such a purpose, building a knowl- edge representation model is a must … Once the ontology was complete, we started querying it by using SPARQL query language …
Towards a question answering system over the Semantic Web
D Diefenbach, A Both, K Singh, P Maret – Semantic Web, 2018 – content.iospress.com
… languages. We first introduce a new approach for translating natural language questions to SPARQL queries. It … questions. This is generally addressed by translating a natural language question to a SPARQL query. Current …
DOREMUS: A graph of linked musical works
M Achichi, P Lisena, K Todorov, R Troncy… – International Semantic …, 2018 – Springer
… The application makes requests directly to the SPARQL endpoint and provides information in a web user interface (UI). Open image in new window Fig. 6. Fig. 6 … We also develop a chatbot that is capable of answering trivia questions in classical music. 11 …
Machine translation using semantic web technologies: A survey
D Moussallem, M Wauer, ACN Ngomo – Journal of Web Semantics, 2018 – Elsevier
Skip to main content …
Question Generation using a Scratchpad Encoder
RY Benmalek, M Khabsa, S Desu, C Cardie, M Banko – 2018 – openreview.net
… (See Fig. 1 for an example.) This intermediate logical form could be Lambda-DCS (Liang (2013)), SPARQL (Harris et al … In this paper we explore the feasibility of generating meaningful questions given a logical form (ie SPARQL) …
Toward a User-Adapted Question/Answering Educational Approach
C Alzetta, G Adorni, I Celik, F Koceva… – Adjunct Publication of the …, 2018 – dl.acm.org
… focus concept, common prerequisite)<threshold), thus the map will contain {High-Level Lan- guage, Declarative, Prolog, SPARQL, SQL, Imperative … MOOCBuddy is a chatbot based on Face- book Messenger Platform acting as a MOOC Recommender System that uses user’s …
Testing a Knowledge Inquiry System on Question Answering Tasks1
D Kyriaki, L ECKMAN… – Emerging Topics in …, 2018 – books.google.com
… An intelligent dialog system could respond to the question about Craig Adams with a clarification request about which sport … In order to create a fair test set, we reran all the SPARQL queries that the questions were … A model for incremental grounding in spoken dialogue systems …
On Finding the Relevant User Reviews for Advancing Conversational Faceted Search
E Dimitrakis, K Sgontzos, P Papadakos, Y Marketakis… – users.ics.forth.gr
… To the best of our knowledge though, the only work that combines spoken dialogue systems with faceted … Sparklis: an expressive query builder for sparql endpoints with guidance in natural language … Ld-sds: Towards an expressive spoken dialogue system based on linked- data …
BYU-EVE: Mixed Initiative Dialog via Structured Knowledge Graph Traversal and Conversational Scaffolding
N Fulda, T Etchart, W Myers, D Ricks, Z Brown… – dex-microsites-prod.s3.amazonaws …
… Ultimately, a dialog system exists to generate text … SPARQL [23] is the main query language for RDF databases and as eloquently put by Oracle: “The SPARQL query language is intended primarily for pattern (subgraph) matching rather than path traversal …
Testing a Knowledge Inquiry System on Question Answering Tasks
KD Zafeiroudi, L Eckman… – Joint Proceedings of …, 2018 – personal.psu.edu
… other work proposes interaction with the user to help users reformulate or clarify the question [1,9]. An intelligent dialog system could respond to … in which we match in- dividual components of a natural language question to knowledge graph concepts using SPARQL queries that …
Answering Comparison in Indonesian Question Answering System with Database
A Saelan, A Purwarianti, DH Widyantoro – International Journal on …, 2018 – ijeei.org
… compare each aspect manually. This also could be used for example in a chatbot for selling products. The customer may want to compare those products and the chatbot has to answer those questions. There are many researches …
Fasting Ontology in Pillars of Islam
SAM Zailani, NA Omar… – … Journal of Electrical …, 2018 – pdfs.semanticscholar.org
… This development of the ontology is intended to refer to the field of learning for other purpose. For instance, search engine, chatbot, expert system or knowledge-based system. Keywords … SPARQL and the Description Logic (DL) are the formal query language in the Protégé …
A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology
S Lee, I Kim – Sensors, 2018 – mdpi.com
… ORO provides a knowledge-query API (Application Programming Interface) based on SPARQL (a semantic query language able to retrieve and manipulate data stored in RDF (Resource Description Framework)) [19], which is a semantic Web query language, and ORO can …
Template-Based Question Answering over Linked Data Using Recursive Neural Networks
RG Athreya – 2018 – search.proquest.com
… and are not easily accessible for users as they need specialized knowledge in query languages (such as SPARQL) as well as deep familiarity of the ontologies used by these knowledge graphs … the natural language question to its corresponding SPARQL query. These systems …
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
D Moussallem, TC Ferreira, M Zampieri… – arXiv preprint arXiv …, 2018 – arxiv.org
… SemWeb2NL3 originated. SemWeb2NL comprises rule-based and template-based approaches which aim to verbalize texts and concepts not only from RDF triples but also from ontologies and SPARQL queries into English. In …
Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models
J Pichl, CTU FEE, P Marek, J Konrád, M Matulík… – dex-microsites-prod.s3.amazonaws …
… It can be queried with SPARQL query language … It is used to test end-to-end dialog systems in a way that favors reproducibility and comparisons and is … We use task six because it is the only task which contains records of real-world conversations between humans and chatbot …
The First Financial Narrative Processing Workshop (FNP 2018)
M El-Haj, P Rayson, A Moore – 2018 – lrec-conf.org
… Keeping the dialogue state in dialogue systems is a notoriously difficult task … framework is used in our in-house German language banking and finance chatbots. General challenges of German language processing and finance-banking domain chatbot language models and …
A Supervised Approach To The Interpretation Of Imperative To-Do Lists
P Landes, B Di Eugenio – arXiv preprint arXiv:1806.07999, 2018 – arxiv.org
… 1Argument extraction can be considered equiva- lent to slot filling as defined in many spoken dialogue systems … The Wikidata lists were created with a set of SPARQL (Prudhommeaux and Seaborne, 2006) queries that included a primary term, and for some lists, a sublist term …
Semantic and dweller-based decision support system for the reconfiguration of domestic environments: RecAAL
D Spoladore, M Sacco – Electronics, 2018 – mdpi.com
Researches in the field of ambient assisted living (AAL) have increased in the last ten years, and the paradigms of the smart home have widely spread. Smart homes must consider the health-related issues and the real needs deriving from the ageing of their dwellers. In the smart …
Improving Discovery of Open Civic Data
S Lafia, A Turner, W Kuhn – 10th International Conference on …, 2018 – drops.dagstuhl.de
… The vocabulary is stored as a graph that can be queried using SPARQL syntax, which allows for queries across multiple endpoints … can perform simple searches through their web browser or mobile device, or request information through new digital media chatbots on Facebook …
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
R Arumugam, R Shanmugamani – 2018 – books.google.com
… Chatbot’s are becoming an integrated part of any website; while virtual assistants are gaining … deep learning solutions for automatic accounting at SAP, Singapore, and conversational chatbots at Evie … He is also a research assistant with the dialog systems group at Laboratory of …
Chinese Medical Question Answer Matching with Stack-CNN
Y Zhang, W Lu, W Ou, R Zhang, X Zhang… – … Symposium on Artificial …, 2018 – Springer
… Sci. 7(8), 767 (2017)Google Scholar. 7. Williams, JD: Young, S.: Partially observable Markov decision processes for spoken dialog systems. Comput. Speech Lang … Abacha, AB, Zweigenbaum, P.: Medical question answering: translating medical questions into SPARQL queries …
KoMMDia: Dialogue-Driven Assistance System for Fault Diagnosis and Correction in Cyber-Physical Production Systems
J Rahm, M Graube, R Müller, T Klaeger… – 2018 IEEE 23rd …, 2018 – ieeexplore.ieee.org
… Resource Description Framework (RDF) as a data model , and the SPARQL Protocol and RDF Query Language (SPARQL) [14] can be used … and their solutions, and accordingly all this information needs to be included in our case descriptions: a) The dialogue system elicits a …
Interactive Question Answering Using Frame-Based Knowledge Representation
EG Boroujerdi – 2018 – yorkspace.library.yorku.ca
… Depending on the type of database, logical (eg, predicate calculus), SPARQL, or SQL queries can be used for searching the knowledge base … plish a specific task. In contrast, chatbots are designed for unstructured human-like … is classified as a task-oriented dialogue system. 25
A natural language interface for querying graph databases
C Sun – 2018 – dspace.mit.edu
… 16 2.1 Examples of queries represented in Gremlin [7], Cypher [20], and SPARQL [24] … Country = . The ELIZA [28] chatbot demonstrated the ability of a natural language interface to successfully simulate conversation with a human user by using pattern …
Zero-shot question generation from knowledge graphs for unseen predicates and entity types
H Elsahar, C Gravier, F Laforest – arXiv preprint arXiv:1802.06842, 2018 – arxiv.org
… 2 Related Work QG became an essential component in many ap- plications such as education (Heilman and Smith, 2010), tutoring (Graesser et al., 2004; Evens and Michael, 2006) and dialogue systems (Shang et al., 2015) …
Natural Language Data Management and Interfaces
Y Li, D Rafiei – Synthesis Lectures on Data Management, 2018 – morganclaypool.com
… Second, the success of IBM’s Watson [Ferrucci, 2012] at Jeopardy and the emergence of natural language dialog systems such as Apple’s Siri, Google’s Home, Ama- zon’s Alexa, and Microsoft’s Cortana has further ignited the interest in natural language data analysis and …
New Paradigms and Big Disruptive Things
M Oppitz, P Tomsu – Inventing the Cloud Century, 2018 – Springer
… This code is handed over to the candidate generation. Candidate generation uses different types of search engines like Lemur INDRI, Apache Lucene and SPARQL to search for possible matches in many of data sources. In …
A framework for generating informative answers for Question Answering systems
ARP Perera – 2018 – aut.researchgateway.ac.nz
… Page 9. ix extendable to any natural language generation task, such as description text generation for kiosks, dialogue systems for Intelligent Personal Assistants (IPA), patient summary … Page 21. List of Codes 3.1 SPARQL query to retreive gender of an entity . . . . . 70 …
Translating Questions into Answers using DBPedia n-triples
M Arcan – arXiv preprint arXiv:1803.02914, 2018 – arxiv.org
… Finally, the optimal SPARQL query is gen- erated as the output result … 2016. Building end-to-end dialogue systems using generative hier- archical neural network models. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelli- gence, AAAI’16, pages 3776–3783 …
Neural wikipedian: Generating textual summaries from knowledge base triples
P Vougiouklis, H Elsahar, LA Kaffee, C Gravier… – Journal of Web …, 2018 – Elsevier
… whose users’ experience could be improved by the ability to automatically generate a textual description of an entity that is returned at a user’s query (eg the Google Knowledge Graph 1 and the Wikidata Reasonator 2 ). Another example is dialogue systems in commercial …
A cognitive assistant for learning java featuring social dialogue
M Coronado, CA Iglesias, Á Carrera… – International Journal of …, 2018 – Elsevier
… The IR works with a set of documents that has been previously indexed. In this case, given the semantic nature of the IR system, it also acts as a SPARQL 3 endpoint that may be queried for precise pieces of information. Thus …
Natural Language Interface for Databases Using a Dual-Encoder Model
IA Hosu, RCA Iacob, F Brad, S Ruseti… – Proceedings of the 27th …, 2018 – aclweb.org
… Several such query languages exist, the most widely used being SQL (Structured Query Language) for structured databases and SPARQL for knowledge bases and ontologies … 2017. Training end-to-end dialogue systems with the ubuntu dialogue corpus …
Identity Management in Knowledge Graphs
J Raad – 2018 – hal.archives-ouvertes.fr
… However, many argue that knowledge graphs should fulfil certain requirements, neces- sary for enabling and enhancing various knowledge-based applications, such as semantic searches, intelligent chatbots, fraud detections, and recommenda- tion systems …
ORACLE: An Ontology Reasoner for Affective Conversation in Long-term Engagement
AJ de Mooij – 2018 – dspace.library.uu.nl
… 58 5.4.2 SPARQL query results . . . . . 58 … 71 Appendices 79 A Legend for Visualized Ontologies 80 B Queries 81 B.1 Queries for Design Criterion 4 . . . . . 81 B.1.1 SPARQL …
Database Systems for Advanced Applications: 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings
J Pei, Y Manolopoulos, S Sadiq, J Li – 2018 – books.google.com
Page 1. Jian Pei· Yannis Manolopoulos Shazia Sadiq · Jianxin Li (Eds.) Database Systems for Advanced Applications 23rd International Conference, DASFAA 2018 Gold Coast, QLD, Australia, May 21–24, 2018 Proceedings, Part II 123 Page 2 …
A Literature Review on Question Answering Techniques, Paradigms and Systems
MAC Soares, FS Parreiras – Journal of King Saud University-Computer and …, 2018 – Elsevier
… Ontology can be considered as a knowledge base which has a more sophisticated form than a relational database Abdi et al., 2016. To execute queries in order to retrieve knowledge from the ontology, structured languages are proposed and one of then is SPARQL 1 . 4 …
Using natural language processing for question answering in closed and open domains
M Latifi – 2018 – upcommons.upc.edu
… In the case of exploiting an efficient approach, it leads to generate a more accurate structured query (eg SPARQL) so that the precise answer is retrievable from the open and crowdsourced knowledge graphs such as DBpedia …
PerKApp: A general purpose persuasion architecture for healthy lifestyles
R Maimone, M Guerini, M Dragoni, T Bailoni… – Journal of biomedical …, 2018 – Elsevier
… We implement reasoning in PerKApp using RDFpro[9], a tool that allows us to provide out-of-the-box OWL 2 RL reasoning, supporting the fixed point evaluation of INSERT… WHERE… SPARQL-like entailment rules that leverage the full expressivity of SPARQL (eg, GROUP BY …
Software Architectures for Human-Machine Interaction Using Natural Language
G Tirone, CHMOPE ARDIZZONE, CHMOPA CHELLA… – 2018 – iris.unipa.it
… QA Question and Answering QAI Question and Answering Interface Page 23. Glossary xx RDF Resource Description Framework RDFS RDF Schema SPARQL SPARQL Protocol And RDF Query Language Page 24. Chapter 1 Introduction 1.1 Motivations and Challenges …
Natural Language Core Tasks and Applications
VN Gudivada – … of Natural Languages: Principles, Methods and …, 2018 – books.google.com
… NER results drive other NLP tasks such as coreference resolution, WSD, semantic parsing, QA, dialog systems, textual entailment, IE, information retrieval, and text summarization. Named entities are not always single words …
A study on the impact of domain knowledge incorporation
E Piret – 2018 – lib.ugent.be
Page 1. Eloïse Piret into the pre-processing steps of a machine learning process A study on the impact of domain knowledge incorporation Academic year 2017-2018 Faculty of Engineering and Architecture Chair: Prof. dr. ir. Bart Dhoedt Department of Information Technology …
Reasoning over RDF Knowledge Bases using Deep Learning
M Ebrahimi, MK Sarker, F Bianchi, N Xie… – arXiv preprint arXiv …, 2018 – arxiv.org
… followed [63] to collect data for our Linked Data dataset. To our best attempt we could not find public rdf-dump or sparql endpoint for some of the datasets mentioned in the paper though. In addition, to test the capability of our model …
Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs.
Y Su, AH Awadallah, M Wang, RW White – SIGIR, 2018 – ryenwhite.com
… The core challenge of natural language interfaces is to map nat- ural language utterances (commands) from users to some formal meaning representation, be it SQL for relational databases, SPARQL for knowledge bases, or API (application program interface) for software …
Natural Language Understanding for Healthcare Queries
V Raghuram – 2018 – eecs.berkeley.edu
… an utterance a challenge for a computer system. This imposes significant limitations on the capabilities of information retrieval systems (and dialogue systems, Q&A systems, etc.). We attempt to address this problem by adding …
Ontology Based Framework for Conceptualizing Human Affective States and Their Influences
R Abaalkhail – 2018 – ruor.uottawa.ca
… Trust Proof Logic Querying: SPARQL Figure 2.2: Semantic Web Stack object-oriented modeling … Using SWRL with an ontology allows for greater expres- sion and decidability [93]. Along with RDF and OWL, there is also SPARQL, which is a query language. 11 Page 22 …
Extracting Linguistic Resources from the Web for Concept-to-Text Generation
G Lampouras, I Androutsopoulos – arXiv preprint arXiv:1810.13414, 2018 – arxiv.org
Page 1. Extracting Linguistic Resources from the Web for Concept-to-Text Generation Extracting Linguistic Resources from the Web for Concept-to-Text Generation Gerasimos Lampouras lampouras06@aueb.gr Department …
Efficient data management for the Internet of Things
2018 – nemertes.lis.upatras.gr
Page 1. Efficient Data Management for the Internet of Things Dimitrios Amaxilatis Supervisor: Professor Christos Zaroliagis Department of Computer Engineering and Informatics University of Patras University of Patras November 2018 Page 2. Page 3. University of Patras …
Argumentation Mining
M Stede, J Schneider – Synthesis Lectures on Human …, 2018 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …