IOT Search Engines: Exploratory Data Analysis
نویسندگان
چکیده
منابع مشابه
Analysis of Haptics Evolution from Web Search Engines' Data
This article proposes using search engine results data such as the number of results containing relevant terms, to measure the evolution of Haptics, the field devoted to the science and technology of the sense of touch. Haptics is a complex discipline which is at the intersection of the knowledge of several specialized fields like robotics, computer science, psychology, and mathematics. It can ...
متن کاملAnalysis of Semantic Search Engines
61 | P a g e S e p t e m b e r 2 2 , 2 0 1 3 ANALYSIS OF SEMANTIC SEARCH ENGINES Vijay Rana*, Dr Gurdev Singh * Research Scholar, Punjab Technical University, Jalandhar, Punjab, India. [email protected] ** Gurukul Vidyapeeth Institute of Engineering & Technology, Patiala, Punjab, India. [email protected] ABSTRACT The traditional information retrieval system don not formally capture the ...
متن کاملEvaluating Web Search Engines Using Clickthrough Data
The web is a highly dynamic environment: documents disappear or become outdated, new documents appear, the query distribution changes. In order to keep up, search algorithms must be continuously tuned and re-tuned. Each iteratively tuned algorithm needs to be evaluated against the current web corpus. But since the web is so frequently changing, relevance judgments acquired at one point in time ...
متن کاملCompositionally-Descriptive Engines: Exploratory Notes
Elements of composition in a photographic image cause physical responses in the viewer; the rate of eye movement is directly determined by the composition, as can be the attitude of the viewer’s head and shoulders. Such physical effects trigger specific memories in the viewer, and those memories affect the emotional state of the viewer. The act of looking at pictures is much more complex than t...
متن کاملDashSearch LD: Exploratory Search for Linked Data
Although a large number of datasets gathered as Linked Open Data (LOD) is better for data sharing and re-using, the datasets themselves become more difficult to understand. Since each dataset has its own data structure, we need to understand datasets individually. In addition, since the entities in datasets are interconnected, we need to understand the interconnections between datasets. In othe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2020
ISSN: 1877-0509
DOI: 10.1016/j.procs.2020.07.082