Research on proposals and trends in the architectures of semantic search engines: A systematic literature review <s> 5) RQ5: <s> This paper addresses the role of case-based reasoning in semantic search, and in particular, as it applies to Knowledge Sifter, an agent-based ontology-driven search system based on Web services. The Knowledge Sifter architecture is extended to include a case-based methodology for collaborative semantic search, including case creation, indexing and retrieval services. A collaborative filtering methodology is presented that uses stored cases as a way to improve user query specification, refinement and processing. <s> BIB001 </s> Research on proposals and trends in the architectures of semantic search engines: A systematic literature review <s> 5) RQ5: <s> The amount of information on health subjects on the Web and users' interest in having efficient access to it continues to increase. This information can also be very useful for professionals, researchers and students in this field. But the usual word-based search does not allow full exploration of the information, pointing to the need for more semantic approaches. Aiming to contribute to providing a semantic search for information on Health, available using written Portuguese, the article presents enhanced search platform architecture based on the enterprise search platform (FAST), providing a processing pipeline capable of exploring annotation of entities and relations defined in a domain. A modular architecture was defined in which an ontology-based knowledge base has an essential role. As it is essential to make the user task as simple as possible, the platform also includes ontology navigation in the classes and relations of the entity to guide queries; use of the most frequent domain classes in the documents relating to a search to provide additional ways of navigation; and inclusion in the score of the ontology-guided annotations. As a first proof of concept, the architecture was instantiated in a specific domain, neurological diseases, for which an ontology was created. <s> BIB002 </s> Research on proposals and trends in the architectures of semantic search engines: A systematic literature review <s> 5) RQ5: <s> Information retrieval system is taking an important role in current search engine which performs searching operation based on keywords which results in enormous amount of data available to the user, from which user cannot figure out the essential and most important information. This limitation may be overcome by a new web architecture known as semantic web which overcome the limitation of keyword based search technique called conceptual or semantic search technique. Natural language processing technique is mostly implemented in QA system for asking user's question and several steps are also followed for conversion of questions to query form for getting an exact answer. In conceptual search, search engine interprets the meaning of user's query and the relation among the concepts that documents contains with respect to a particular domain that produces specific answers instead of giving list of answers. In this paper, we proposed ontology based semantic information retrieval system and Jena semantic web framework in which, user enters an input query which is parsed by Standford Parser then triplet extraction algorithm is used. To all input query, SPARQL query is formed and then it is fired on the knowledge base (Ontology) that finds appropriate RDF triples in knowledge base and retrieve the relevant information using Jena framework. <s> BIB003
The role of knowledge in the architecture of a semantic search engine: The aim of this research question is to identify what role knowledge plays within the architecture of a semantic search engine. As it was seen in RQ1, RQ3 and RQ4, knowledge has a relevant role in the proposed architecture, mostly by means of a knowledge base. Most of the studies have already answered RQ4 before. For this question, one field was proposed in order to retrieve the data from the studies: a Knowledge role: this field aims to get any description of the role that knowledge performs within the proposed architecture. There are 5 studies found to answer this question. The following are the aspects found in those studies: a Knowledge sharing should be a key feature, so that the semantic search engines proposed in these studies should allow knowledge sharing by means of the domain ontology they have implemented, such as a document ontology  or an innovation process ontology  . b Knowledge bases help getting better search results, and in doing so ontologies play an important role. As it is already noted before, knowledge and ontologies usually work together in order to retrieve better and relevant results BIB003 . On the other hand, in BIB002 , Mendonça et al. use a knowledge base to help on the document annotation process so that users can query those documents, and it can be used to help users creating their queries, which leads to get better search results. c Knowledge is gathered from heterogeneous sources, which enriches the results a user can get. In order to accomplish this, a set of agents were proposed by Kerschberg et al. so that those diverse sources can be queried BIB001 . This takes into account the set of general 278 PROCEEDINGS OF THE FEDCSIS. PRAGUE, 2017 and domain specific ontologies the system uses, as already mentioned by that study.