Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

Damljanović, Danica; Bontcheva, Kalina

doi:10.1007/978-1-4419-1219-0_5

Cited by 6 publications

(5 citation statements)

References 37 publications

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“…Ontology NER is one of the main features in our proposed system in which NLU unit is autonomous for back-end Knowledge Base (KB). Few related works [1], [2] uses KB as an important source for identifying several domain entities The vocabulary based NER is another approach for named item candidates which use occurrences from the Knowledge Base (KB).…”

Section: Semantic Analysis Of Nl Querymentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles - Contemporary semantic search using Natural Language processing

Kumar

Srinivasulu

Kanna

2015

2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials

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In advanced search engines queries are being expressed in natural language as it seems to be the next step for developing future systems. Hence, users can express what they are searching for in a sentence form. The Semantic Web framework is our chosen field. This approach is to build a complete and meaningful Web Search using a Natural Language system. The process is complete when it covers preprocessing, Semantic analysis, semantic interpretation, and the way of executing a SPARQL query in order to obtain the results. The domain deals with the existing portal of accommodation. A corpus of different queries is being used from the facebook campaign. Furthermore, the Natural Language Understanding (NLU) module is evaluated with respect to another domain (public transportation) and a language (English). The performance of Semantic web enhances a decently sized knowledge base and also others.

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Section: Semantic Analysis Of Nl Querymentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles - Contemporary semantic search using Natural Language processing

Kumar

Srinivasulu

Kanna

2015

2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials

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“…Finally, QuestIO displays the result of executing SPARQL queries as a table in which the user finds the answer. Therefore, we have started to work on methods which would, in comparison to our previous work: -improve understanding of the question's semantic meaning -provide the concise answer to the user's question -communicate the system's interpretation of the query to the user -assist the user formulate the query which falls within the boundaries of the system capabilities These methods have been thoroughly discussed in [3]. Their combination is the base of FREyA which is named after Feedback, Refinement and Extended Vocabulary Aggregation.…”

Section: Freyamentioning

confidence: 99%

“…On the route to achieving this, we have developed FREyA -a system which combines several usability methods and is named after Feedback, Refinement and Extended Vocabulary Aggregation. We evaluate our approach using Mooney Geoquery dataset 3 . This paper is structured as follows.…”

Section: Introductionmentioning

confidence: 99%

Natural Language Interfaces to Ontologies: Combining Syntactic Analysis and Ontology-Based Lookup through the User Interaction

Damljanović

Agatonović

Cunningham

2010

Lecture Notes in Computer Science

132

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Abstract. With large datasets such as Linked Open Data available, there is a need for more user-friendly interfaces which will bring the advantages of these data closer to the casual users. Several recent studies have shown user preference to Natural Language Interfaces (NLIs) in comparison to others. Although many NLIs to ontologies have been developed, those that have reasonable performance are domain-specific and tend to require customisation for each new domain which, from a developer's perspective, makes them expensive to maintain. We present our system FREyA, which combines syntactic parsing with the knowledge encoded in ontologies in order to reduce the customisation effort. If the system fails to automatically derive an answer, it will generate clarification dialogs for the user. The user's selections are saved and used for training the system in order to improve its performance over time. FREyA is evaluated using Mooney Geoquery dataset with very high precision and recall.

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“…The structure of the data stored is described by an ontology based mostly on the data model 13 proposed by EvoOnt (Kiefer et al, 2007). A similar approach is followed in (Damljanovic & Bontcheva, 2008), by applying in addition Natural Language Processing technologies for extracting further information from the text data. In the near future, doc4 will be enhanced as well by text mining components, in particular in the context of the SCRIBO project 14 .…”

Section: A Semantic Distributionmentioning

confidence: 99%

Weaving a Semantic Web Across OSS Repositories

Berger

Vlasceanu

Bac

et al. 2010

International Journal of Open Source Software and Processes

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Several public repositories and archives of “facts” about libre software projects, maintained either by open source communities or by research communities, have been flourishing over the Web in recent years. These have enabled new analysis and support for new quality assurance tasks. This paper presents some complementary existing tools, projects and models proposed both by OSS actors or research initiatives that are likely to lead to useful future developments in terms of study of the FLOSS phenomenon, and also to the very practitioners in the FLOSS development projects. A goal of the research conducted within the HELIOS project is to address bugs traceability issues. In this regard, the authors investigate the potential of using Semantic Web technologies in navigating between many different bugtracker systems scattered all over the open source ecosystem. By using Semantic Web techniques, it is possible to interconnect the databases containing data about open-source software projects development, which enables OSS partakers to identify resources, annotate them, and further interlink those using dedicated properties and collectively designing a distributed semantic graph.

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Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

Cited by 6 publications

References 37 publications

Notice of Violation of IEEE Publication Principles - Contemporary semantic search using Natural Language processing

Notice of Violation of IEEE Publication Principles - Contemporary semantic search using Natural Language processing

Natural Language Interfaces to Ontologies: Combining Syntactic Analysis and Ontology-Based Lookup through the User Interaction

Weaving a Semantic Web Across OSS Repositories

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