Semantic Enrichment of Services for Linked Data Provision in SOA

Oliveira, Bruno C. N.; Huf, Alexis; Salvadori, Ivan; Siqueira, Frank

doi:10.1145/3330204.3330258

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Basketball/Sports or Stochastic model/Probability) even in a lack of sufficient contextual information situation. In a Service-Oriented Architecture, it could be used to enable semantic associations to dynamically provide connected data by feeding a Semantic Adapter, such the one presented by Oliveira et al [23].…”

Section: Discussionmentioning

confidence: 99%

Semantic Data Structures for Knowledge Generation in Open World Information System

Tibau

Siqueira

Nunes

2020

XVI Brazilian Symposium on Information Systems

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As the amount of information grows exponentially online, Information Systems role in support knowledge flows encouraged by linked data increases as a driver to innovation, culture, business practices and people behavior. Web search engines are particularly affected by the open world challenges, notably as part of the growing digital ecosystems of networks and platforms of technology, media, and telecommunications (TMT) companies delivering personalized and customized services (e.g. Amazon in retailing, Uber in ride service hailing, food delivery, and bicycle-sharing system, and Airbnb in lodging). To recognize search intent drawn from user's behavior allows to provide personalized search results. The work presented in this paper has the purpose of exploring methods to represent semantic relationships between concepts indexed by Web search engines in order to aid them recognize search intent and display results that meet the search intent. The performance of two different types of data structures based on entity-centric indexing was compared. The data structures were: a knowledge base that used an entity-centric mapping of Wikipedia categories and the KBpedia Knowledge Graph. Through analysis of entity ranking and linking, we detected that the Knowledge Graph could identify approximately three times more properties and relationships, which increases Web search engines capability to "understand" what is being asked.

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Section: Discussionmentioning

confidence: 99%

Semantic Data Structures for Knowledge Generation in Open World Information System

Tibau

Siqueira

Nunes

2020

XVI Brazilian Symposium on Information Systems

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“…Oliveira et al (2016) [19] propose a platform capable of enriching police reports with public data available on the Web. The authors present an evaluation tool, which consumes the linked data provided by a Web API, expands it with data extracted from other sources, and provides an interface to assess the relevance of the expansions.…”

Section: Literature Reviewmentioning

confidence: 99%

A Methodology for Retrieving Datasets from Open Government Data Portals Using Information Retrieval and Question and Answering Techniques

Barcellos¹,

Bernardini²,

Viterbo³

2020

Lecture Notes in Computer Science

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Public administration is one of the largest producers and collectors of data in several domains. Bearing in mind that one of the main pillars of public transparency is the release of social value through government data, and that this right remains a challenge for citizens, in this work we implemented a methodology that uses techniques and Answers and Information Retrieval to retrieve data sets and respond to questions from citizens on a Brazilian open government data portal. Using metrics of information retrieval evaluation, such as accuracy and recall, we obtained satisfactory results in applying the proposed methodology.

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Semantic Enrichment of Services for Linked Data Provision in SOA

Cited by 2 publications

References 12 publications

Semantic Data Structures for Knowledge Generation in Open World Information System

Semantic Data Structures for Knowledge Generation in Open World Information System

A Methodology for Retrieving Datasets from Open Government Data Portals Using Information Retrieval and Question and Answering Techniques

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