{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T22:22:51Z","timestamp":1649110971679},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Encyclopedia Semant. Comput. Robot. Int."],"published-print":{"date-parts":[[2017,3]]},"abstract":"<jats:p> This paper proposes an advanced searching method, aimed at improving Web Information Systems by adopting semantic technology solutions. In particular, it first illustrates the main solutions for semantic search and then proposes the semantic search method [Formula: see text] that represents an evolution of the original SemSim method. The latter is based on the annotation of the resources in a given search space by means of Ontology Feature Vectors ([Formula: see text]), built starting from a reference ontology. Analogously, a user request is expressed as a set of keywords (concepts) selected from the reference ontology, that represent the desired characteristics of the searched resources. Then, the searching method consists in extracting the resources having the [Formula: see text] that exhibit the highest conceptual similarity to the user request. The new method, [Formula: see text], improves the above mechanism by enriching the [Formula: see text] with scores. In the user request, a score (High, Medium, Low) is associated with a concept and indicates the preference (i.e., the priority) that the user assigns to the different concepts in searching for resources. In the resource annotation, the score indicates the level of quality of the concept used to characterize the resource. The [Formula: see text] method has been experimented and the results show that it outperforms the SemSim method and, therefore, also the most representative similarity methods proposed in the literature, as already shown in previous works of the authors. <\/jats:p>","DOI":"10.1142\/s2425038416500024","type":"journal-article","created":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T01:51:01Z","timestamp":1490320261000},"page":"1650002","source":"Crossref","is-referenced-by-count":0,"title":["Enriching semantic search with preference and quality scores"],"prefix":"10.1142","volume":"01","author":[{"given":"Michele","family":"Missikoff","sequence":"first","affiliation":[{"name":"Istituto di Scienze e Tecnologie della Cognizione, National Research Council, Via San Martino della Battaglia 44 Rome 00185, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Formica","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, National Research Council, Via dei Taurini 19 Rome 00185, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elaheh","family":"Pourabbas","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, National Research Council, Via dei Taurini 19 Rome 00185, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Taglino","sequence":"additional","affiliation":[{"name":"Istituto di Analisi dei Sistemi ed Informatica \u201cAntonio Ruberti\u201d, National Research Council, Via dei Taurini 19 Rome 00185, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,3,23]]},"reference":[{"key":"S2425038416500024BIB001","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/0-387-28918-6_4","volume-title":"Designing Ubiquitous Information Environments: Socio-Technical Issues and Challenges","volume":"185","author":"Dourish P."},{"key":"S2425038416500024BIB002","unstructured":"T. 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